Soaring Magic shoot to knock off PistonsHOUSTON -- A federal judge in Texas rejected the auction sale of Alex Jones' Infowars to The Onion satirical news outlet, criticizing the bidding for the conspiracy theory platform as flawed as well as how much money families of the 2012 Sandy Hook Elementary shooting stood to receive. The decision late Tuesday night is a victory for Jones, whose Infowars site was put up for sale as part of his bankruptcy case in the wake of the nearly $1.5 billion that courts have ordered him to pay over falsely calling one of the deadliest school shootings in U.S. history a hoax. Families of the Sandy Hook victims had backed The Onion's bid. Following a two-day hearing in Houston, U.S. Bankruptcy Judge Christopher Lopez said he would not approve the sale, while citing concerns about transparency in the auction. That clears the way for Jones to keep - at least for now - Infowars, which is headquartered in Austin, Texas. The Onion had planned to kick Jones out and relaunch Infowars in January as a parody. "We are deeply disappointed in today's decision, but The Onion will continue to seek a resolution that helps the Sandy Hook families receive a positive outcome for the horror they endured," Ben Collins, CEO of The Onion's parent company, Global Tetrahedron, posted on social media late Tuesday. Lopez cited problems - but no wrongdoing - with the auction process. He said he said he did not think that those involved in the auction acted in bad faith and that everyone "put their best foot forward and tried to play within the rules." Still, Lopez said he said he did not want another auction and left it up to the trustee who oversaw the auction to determine the next steps. The Onion offered $1.75 million in cash and other incentives for Infowars' assets in the auction. First United American Companies, which runs a website in Jones' name that sells nutritional supplements, bid $3.5 million. The bids were a fraction of the money that Jones has been ordered to pay in defamation lawsuits in Connecticut and Texas filed by relatives of victims of the Sandy Hook shooting. Lopez said the auction outcome "left a lot of money on the table" for families. "You got to scratch and claw and get everything you can for them," Lopez said. Christopher Mattei, a lawyer for the Sandy Hook families who sued Jones in Connecticut, said they were disappointed in the judge's ruling. "These families, who have already persevered through countless delays and roadblocks, remain resilient and determined as ever to hold Alex Jones and his corrupt businesses accountable for the harm he has caused," Mattei said in a statement. "This decision doesn't change the fact that, soon, Alex Jones will begin to pay his debt to these families and he will continue doing so for as long as it takes." Jones, who did not attend the proceedings, went back on his program late Tuesday to celebrate the judge's ruling, calling the auction "ridiculous" and "fraudulent." Although The Onion's cash offer was lower than that of First United American, it also included a pledge by many of the Sandy Hook families to forgo $750,000 of the auction proceeds due to them and give it to other creditors, providing the other creditors more money than they would receive under First United American's bid. The sale of Infowars is part of Jones' personal bankruptcy case, which he filed in late 2022 after he was ordered to pay nearly $1.5 billion in defamation lawsuits in Connecticut and Texas filed by relatives of victims of the Sandy Hook shooting. Jones repeatedly called the shooting that killed 20 children and six educators a hoax staged by actors and aimed at increasing gun control. Parents and children of many of the victims testified in court that they were traumatized by Jones' conspiracies and threats from his followers. Jones has since acknowledged that the Connecticut school shooting happened. Most of the proceeds from the sale of Infowars, as well as many of Jones' personal assets, will go to the Sandy Hook families. Some proceeds will go to Jones' other creditors. Trustee Christopher Murray had defended The Onion's bid in court this week, testifying that he did not favor either bidder over the other and was not biased. He also revealed that First United American submitted a revised bid in recent days, but he said he could not accept it because the Sandy Hook families in the Connecticut lawsuit objected. The Onion valued its bid, with the Sandy Hook families' offer, at $7 million because that amount was equal to a purchase price that would provide the same amount of money to the other creditors. In a court filing last month, Murray's lawyers called First United American's request to disqualify The Onion's bid a "disappointed bidder's improper attempt to influence an otherwise fair and open election process." Jones' attorney, Ben Broocks, noted that the Sandy Hook lawsuit judgments could be overturned in pending appeals and got Murray to acknowledge that the Sandy Hook families' offer in The Onion bid could fall apart if that happens. That's because the percentage of the auction proceeds they would be entitled to could drop sharply and they wouldn't get the $750,000 from the sale to give to other creditors. Up for sale were all the equipment and other assets in the Infowars studio in Austin, as well as the rights to its social media accounts, websites, video archive and product trademarks. Jones uses the studio to broadcast his far-right, conspiracy theory-filled shows on the Infowars website, his account on the social platform X and radio stations. Many of Jones' personal assets also are being sold. Jones has set up another studio, websites and social media accounts in case The Onion wins approval to buy Infowars and kicks him out. Jones has said he could continue using the Infowars platforms if the auction winner is friendly to him. Jones is appealing the money has been ordered to pay in judgments citing free speech rights.RICHMOND — Two years ago, Gov. Glenn Youngkin proposed sweeping investments to overhaul the state’s behavioral health system. The initiative, called Right Help, Right Now, promised funding for crisis response solutions like mobile crisis teams and a new crisis hotline. On Wednesday, Youngkin said the commonwealth had made good on that promise. “We are finding a way to get people the help they need when they need it, and that does not mean tomorrow or next month,” he said during a news conference at the Patrick Henry Building. “It means today.” At the outset, the program’s goals included boosting the number of mobile crisis response units from 36 to 70. Today, there are 102 active teams operating 24/7 year round. Those teams average a 50-minute response time across the state. Likewise, Youngkin said that between crisis receiving centers, stabilization units and therapeutic homes, there are now 663 available crisis units, up from 213. Other highlights included the 988 hotline , which acts as an alternative to 911 for mental health crises. In September, the hotline received more than 14,000 calls. Youngkin said the wider availability of dedicated mental health supports also reduced the amount of time police officers spent monitoring people in crisis at hospitals. To continue the progress, Youngkin pledged an additional $70 million to further the efforts of Right Help, Right Now in a budget proposal he will present next week. Still, there’s work to be done. The bulk of last year’s funding went to developmental disability waivers , distributed quarterly over two years and designed to help children and adults with disabilities receive support at home. Historically, the waitlist to receive these waivers has been thousands of people long. The mental health investment has funded 3,440 slots for top applicants — effectively enough to clear the backlog of people who urgently need support services. But that doesn’t mean there’s enough support to get people help right away. There is a rollout process, and advocates have warned there remains a shortage of service providers who act as an alternative to group homes. “We hear from people when they get (the waiver), and they call excited,” said Tonya Milling, executive director of the Arc of Virginia, an organization that advocates for people with intellectual and developmental disabilities. “And then it’s, ‘Oh my God, what do I do?” To that end, the Arc is lobbying for resources to help waiver recipients navigate the process. Milling said there’s also a difference in how crisis intervention systems work for people with developmental disabilities compared to people accessing the mental health system without one, at least right now. “It’s taken longer to get crisis receiving centers trained, ready and prepared so that they know how to support someone with (intellectual and developmental disabilities) when they come in,” she said. “We have a lot of people with significant support needs that have autism that can manifest as a behavioral health crisis. Calling the cops is still pretty scary, so there needs to be so much more education on 988 and for people to know to call that.” Of the $70 million in spending included in Youngkin’s budget amendments, $35 million would go toward Special Conservators of the Peace, badged officers in hospitals and emergency departments that would take custody of people experiencing a behavioral health crisis. Youngkin said the goal is to reduce the time police officers spend in hospitals. The governor will present his amended budget proposal to state lawmakers next Wednesday. The General Assembly convenes Jan. 8 and will adjourn Feb. 22. During the session, lawmakers will consider this and other amendments Youngkin proposes for the state’s two-year budget plan. Kate Seltzer, katherine.seltzer@virginiamedia.com

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After closing the books on a banner year for US stocks, investors expect to ride seasonal momentum into mid-January when a slew of economic data and a transition of power in Washington could send markets moving. The S&P 500 rose roughly 25% in 2024 through December 27, while the technology-heavy Nasdaq Composite index, which surpassed 20,000 for the first time in December, is up over 31%. On Friday, however, stocks sold off amid some profit-taking and questions about how markets could perform in January, according to analysts and traders. "There are concerns that maybe the first part of (next) year can involve some repositioning and reallocation of funds and those that are trading today and next week are probably just trying to get a little bit ahead of that," said Robert Pavlik, Senior Portfolio Manager at Dakota Wealth. Stocks tend to do well in the last five trading days of December and into the first two days of January, a phenomenon dubbed the Santa Claus rally, which has driven S&P gains of an average of 1.3% since 1969, according to the Stock Trader's Almanac. Despite the Friday sell-off, for the last five trading sessions, the S&P rose 1.77%, while the Nasdaq was up 1.8%. Just how long upward momentum lasts will depend on several forces that could help drive markets in 2025. Monthly US employment data on January 10 should give investors a fresh view into the health and strength of the US economy. Job growth rebounded in November following hurricane- and strike-related setbacks earlier in the year. The market's strength will be tested again shortly after, when US companies start reporting fourth-quarter earnings. Investors anticipate 10.33% earnings per share growth in 2025, versus a 12.47% expected rise in 2024, according to LSEG data, although excitement over President-elect Donald Trump's policies is expected to boost the outlook for some sectors like banks, energy and crypto. "There's the hope that taxes and regulations will be lowered or reduced next year, that will help support corporate profits, which are what drive the market in the first place," said Michael Rosen, Chief Investment Officer at Angeles Investments. Trump's inauguration on January 20 could also throw the markets some curve balls. He is expected to release at least 25 executive orders in his first day on a range of issues from immigration to energy and crypto policy. Trump has also threatened tariffs on goods from China and levies on products from both Mexico and Canada, as well as to crack down on immigration, creating costs that companies could ultimately pass on to consumers. Helen Given, Associate Director of Trading at Monex USA, said a new administration always brings with it a large degree of uncertainty. There is also a good chance the impact of the Trump administration's expected trade policies is far from fully priced into global currency markets, she added. "We're looking ahead to see which of those policies are enacted, which might be further down the pipeline," Given said, adding she expected a big impact on the euro, Mexican peso, the Canadian dollar, and the Chinese yuan. COMMENTS Comments are moderated and generally will be posted if they are on-topic and not abusive. For more information, please see ourGus Atkinson claims England's first Test hat-trick in seven years as the seamer skittles New Zealand's tail to continue his scintillating start to international red ball career

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Steel For Marine Engineering Market Driven by Demand for Immersive Technologies Across Industries 11-23-2024 12:19 AM CET | Advertising, Media Consulting, Marketing Research Press release from: Verified Industry Insights Steel For Marine Engineering Market Global Steel For Marine Engineering Market Impact of AI and Automation The steel for marine engineering market is experiencing significant growth, driven by the expanding global maritime industry and increasing investments in shipbuilding and offshore infrastructure. The rising demand for durable, corrosion-resistant materials in harsh marine environments is propelling the adoption of specialized marine-grade steel. Innovations in high-strength and lightweight steel alloys are enhancing vessel performance and fuel efficiency, aligning with the industry's sustainability goals. Growth in international trade and marine transportation, coupled with the expansion of offshore oil and gas exploration, further supports market development. Additionally, emerging economies in Asia-Pacific are fueling demand through large-scale shipbuilding activities. Government initiatives to modernize naval fleets and upgrade port infrastructure are also contributing to market expansion. As maritime engineering advances, the demand for high-performance steel is anticipated to grow steadily. The steel for marine engineering market is shaped by evolving technological advancements and the increasing need for resilient materials in maritime applications. The market benefits from the growing emphasis on eco-friendly and energy-efficient solutions, driving the development of innovative steel grades with superior corrosion resistance and strength-to-weight ratios. However, fluctuating raw material prices and environmental regulations concerning steel production pose challenges for manufacturers. The rising demand for renewable energy infrastructure, such as offshore wind farms, is creating new growth opportunities for specialized steel products. Competition among global suppliers is intensifying, pushing players to focus on quality, customization, and cost-efficiency. Despite challenges, the market remains resilient, supported by the maritime industry's critical role in global trade and the continuous evolution of marine engineering technologies. The market size of Steel For Marine Engineering Market, valued at USD 10 billion in 2023, is projected to reach USD 15 billion by 2033, expanding at a CAGR of 4.5% between 2024 and 2033. The report comprises various segments and analyzes significant trends and factors influencing market growth.. The growth is being attributed to increasing demand in different sectors, Steel For Marine Engineering technological advancement, and changing habits of consumers and industry towards sustainable and efficient technologies. Request PDF Sample Copy of Report: (Including Full TOC, List of Tables & Figures, Chart)@ https://www.verifiedindustryinsights.com/download-sample/1435796/?utm_source=OpenPr&utm_medium=072 Key Players in the Steel For Marine Engineering Market ArcelorMittal Nippon Steel Corporation POSCO SSAB Thyssenkrupp AG Baosteel Group Tata Steel JSW Steel United States Steel Corporation JFE Steel Corporation Steel Authority of India Limited Global Steel For Marine Engineering Market Segmentation: Steel For Marine Engineering Market by Type Carbon Steel Alloy Steel Stainless Steel High Strength Steel Steel For Marine Engineering Market by Application Shipbuilding Offshore Structures Marine Equipment Ship Repair Others Steel For Marine Engineering Market by End-Use Industry Commercial Shipping Defense Fishing Leisure Market Segmentation Dynamics of Steel For Marine Engineering Market: The global Steel For Marine Engineering market comprises numerous types, each targeting specific market demands. More types that are familiar to the customers are, hardware, software and service based solutions. Hardware solutions comprise tangible goods that include sensors, devices and components for power applications. Software solutions aid in improving functions by automating systems, analyzing data and integrating artificial intelligence to make systems more functional and efficient. Service based offering include providing support, running maintenance and offering consultancy services to ensure that Steel For Marine Engineering systems are able to operate optimally and provide satisfactory value over time. All these segments combine to satisfy customer needs with these different types of helping in growth of global Steel For Marine Engineering market. Global Usage of Steel For Marine Engineering: Businesses, consumers, and governmental bodies use the Steel For Marine Engineering resources within the respective jurisdictions. Steel For Marine Engineering products are incorporated into businesses operating in manufacturing, retail, healthcare, and other industries to increase efficiency, reduce costs, and boost performance. The consumers' needs are evolving due to changing lifestyles, new technologies, and growing demand for easy solutions. At the same time, Steel For Marine Engineering are employed by the governments to sustain the public order, construct and develop infrastructure, and provide better services. Different end-user groups use products for different purposes which determine the development of products and trends in the market. Firms which are able to meet the diverse demands of the end-users stand a good chance to prosper in the competitive landscape of the Steel For Marine Engineering sector. Global Market by Region: North America Europe Asia-Pacific Latin America Middle East & Africa The Steel For Marine Engineering market at the global level depicts notable regional differences wherein North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa all to overall growth. North America has the highest level of technology use and is continually supported by the demands of healthcare, automotive and industrial. Europe has inbuilt objectives of sustainability, compliance with regulations and advances in automotive and energy industries. Asia-Pacific is projected to be the fastest region driven mainly by industrialization, middle class growth and technology investment. Latin America and the Middle East and Africa are considered as new markets with potential growth for infrastructures and adoption of technology. It is essential to appreciate these regional aspects and their interrelations in order to formulate appropriate growth strategies for the Steel For Marine Engineering market. Receive a Discount By Purchasing This Report @ https://www.verifiedindustryinsights.com/ask-for-discount/1435796/?utm_source=OpenPr&utm_medium=072 Frequently Asked Questions (FAQ) on the Global Steel For Marine Engineering Market promotion Q. What is the growth forecast of the global Steel For Marine Engineering market? A. The market size of Steel For Marine Engineering Market, valued at USD 10 billion in 2023, is projected to reach USD 15 billion by 2033, expanding at a CAGR of 4.5% between 2024 and 2033. The report comprises various segments and analyzes significant trends and factors influencing market growth.. It is obvious that demand for Steel For Marine Engineering products will grow in the future as global markets expand. Factors such as rising consumer demand, technological advancements, and increasing industrial applications are fueling the market's expansion. As businesses and industries seek out possible advancement in operational efficiency and customized goods, the market's stable CAGR is expected to be witnessed. Q. Which regions have been influential in creating the need for Steel For Marine Engineering in the countries that they operate in? A. Steel For Marine Engineering's growth in volume has been derived mainly from Asia-Pacific primarily due to - accelerated industrial growth, urban expansion, and technological enhancement. This is closely followed by North America which will primarily be driven by technology enhancement and high consumption. Europe also remains a key market contributing towards Steel For Marine Engineering demand fueled by the increasing trend towards innovative solutions sustainability. South America and Middle eastern and African regions too are increasingly becoming targets with awakening demand from infrastructures development and expanding industries. Q: What are the primary forces impacting the global Steel For Marine Engineering industry? A: The expansion of the global Steel For Marine Engineering market is mainly determined by technical advancement, transformation of customer requirements, and the growing requirement for efficiency across different regions. The infusion of advanced technologies like AI, automation, and IoT is improving the capability of products and creating new opportunities. Also, the trend towards greener approaches, the accompanying regulatory environment, and the rising adoption of Steel For Marine Engineering in the developing economies are some major trends that are expected to influence the market. Q: Who dominates the global Steel For Marine Engineering market? A: The global Steel For Marine Engineering marketplace has matured companies as well as new innovators. The best companies have established excellence in marketing, have a wide range of products and are innovative. These companies are focused on upgrading their products and services, increasing their research and development activities as well as branching out into other core areas for regulatory advantages. Mergers and acquisitions are also part of the strategies that the top players deploy to ensure their success in the market. Q: In what manner are technologies supporting the growth of Steel For Marine Engineering industry? A: Technology is revolutionizing the global Steel For Marine Engineering industry by enhancing the features of products, increasing the efficiency of operations and creating new market opportunities. With the use of advanced technologies like AI, machine learning, automation, the production processes are being made more efficient, costs are being lowered and quality is increasing. The Internet of Things (IoT) also adds to the functionality and connectivity of products, resulting in more value for customers. There is also the emergence of digital transformation and data analytics enabling the businesses to understand their customers more comprehensively and thereby adjust their offers and marketing. Technology is enabling organizations to develop faster and better address the challenges in the market that is perpetually changing. 🔍 For More Information or Query, Visit @ https://www.verifiedindustryinsights.com/report/global-steel-for-marine-engineering-industry/?utm_source=OpenPr&utm_medium=072 Categorized Construction and Manufacturing: Industrial Equipment The Global Steel For Marine Engineering Market which is within the scope of Construction and Manufacturing and further divided into specific structures under Industrial Equipment has been growing tremendously with the increase in demand for new solutions and improvements. This market contains a large portfolio of applications and products to serve the various demands in the industry. With companies increasing the need to be efficient and productive, global Steel For Marine Engineering Market has the potential to grow even further with a healthy outflow of money towards R&D. In addition, the increased demand for sustainability and regulatory measures are also altering the change in focus for the firms, encouraging them to develop green solutions. However, perhaps the most exciting development has been the emergence of a large number of new market participants, as well as existing ones who have an established presence in the industry. The market seems to have plenty of opportunities that stoke the growth and trends well enough to cater to the demand. 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Our primary cause is to enhance our clients through the delivery of a wide range of analytical research modalities that assist with strategic decision making as well as enhancing sustainable development to those clients. Since our establishment, we have experienced analysts and subject matter experts (SMEs) whose responsibilities include analyzing the market trends and competitive forces. In any and all research endeavors, when clients' needs come first, we strive to employ best practices in the industry while constantly being innovative and bold. We work with sectors such as health care, technology, finance, manufacturing and energy and customise our reports per sector. All in all, the aim of Verified Industry Insights is to aid organizations fuse through complex networks or landscapes in business and attain their goals or targeted objectives. Get in Touch with Us Mr. Edwyne Fernandes Verified Industry Insights Tel: +1 743 222 5439 This release was published on openPR.Suva nightclub brawl under investigationVikings have ruled out tight end Josh Oliver. What does that mean for the running game?Aecon Group ( OTCMKTS:AEGXF – Get Free Report ) and Bird Construction ( OTCMKTS:BIRDF – Get Free Report ) are both industrials companies, but which is the superior stock? We will compare the two businesses based on the strength of their institutional ownership, analyst recommendations, dividends, profitability, valuation, risk and earnings. Profitability This table compares Aecon Group and Bird Construction’s net margins, return on equity and return on assets. Analyst Ratings This is a summary of current ratings and target prices for Aecon Group and Bird Construction, as reported by MarketBeat. Valuation & Earnings This table compares Aecon Group and Bird Construction”s top-line revenue, earnings per share (EPS) and valuation. Bird Construction is trading at a lower price-to-earnings ratio than Aecon Group, indicating that it is currently the more affordable of the two stocks. Insider & Institutional Ownership 45.8% of Aecon Group shares are owned by institutional investors. Comparatively, 45.3% of Bird Construction shares are owned by institutional investors. Strong institutional ownership is an indication that large money managers, hedge funds and endowments believe a stock is poised for long-term growth. Dividends Aecon Group pays an annual dividend of $0.35 per share and has a dividend yield of 1.9%. Bird Construction pays an annual dividend of $0.76 per share and has a dividend yield of 4.2%. Aecon Group pays out 95.8% of its earnings in the form of a dividend, suggesting it may not have sufficient earnings to cover its dividend payment in the future. Bird Construction pays out 111.1% of its earnings in the form of a dividend, suggesting it may not have sufficient earnings to cover its dividend payment in the future. Summary Bird Construction beats Aecon Group on 5 of the 8 factors compared between the two stocks. About Aecon Group ( Get Free Report ) Aecon Group Inc., together with its subsidiaries, provide construction and infrastructure development services to private and public sector clients in Canada, the United States, and internationally. It operates through two segments, Construction and Concessions. The Construction segment focuses on civil infrastructure, urban transportation solutions, nuclear power infrastructure, utility infrastructure, and conventional industrial infrastructure market sectors. The Concessions segment engages in the development, building, financing, and operation of construction projects by way of public-private partnership contract structures. This segment also provides development of domestic international public-private partnership; private finance solution; developing strategic partnerships; leading and/or participating in development teams; and operations and maintenance of infrastructure assets services. The company was formerly known as Prefac Concrete Co. Ltd. and changed its name to Aecon Group Inc. in June 2001. Aecon Group Inc. was founded in 1867 and is headquartered in Toronto, Canada. About Bird Construction ( Get Free Report ) Bird Construction Inc. provides construction services in Canada. The company primarily focuses on projects in the industrial, and institutional, and infrastructure markets. It constructs large, complex industrial buildings, including manufacturing, processing, distribution, and warehouse facilities; and provides electrical and instrumentation, high voltage testing and commissioning services, as well as power line construction, structural, mechanical, and piping, including off-site metal and modular fabrication. It also engages in the civil construction operations, such as site preparation and earthworks, underground piping, utilities and foundation, drilling, blasting, and other concrete services, as well as contract mining, mine support, and greenfield and brownfield hydroelectric facilities; steel modular construction; and civil infrastructure operations comprising road, bridge, rail, and underground utilities installation. In addition, it constructs and retrofits institutional facilities, include healthcare facilities, post-secondary education facilities, K-12 schools, public safety and defence facilities, recreation facilities, transportation, courthouses, government buildings, and long term care and senior housing facilities; offers industrial maintenance, repair, and operations services; and constructs new construction and retrofit of warehousing, laboratories, manufacturing and processing facilities, data centers, office buildings, retail spaces, film studio infrastructure, hotels, and mixed-use mid- to high-rise residential buildings. Further, it offers electrical and related system services, such as electrical and mechanical infrastructure design and installation, data communications, telecommunications, security, and lifecycle services. It serves oil and gas, chemicals, liquefied natural gas, natural resources, nuclear, power, renewable energy, and water and wastewater sectors. The company was founded in 1920 and is based in Mississauga, Canada. Receive News & Ratings for Aecon Group Daily - Enter your email address below to receive a concise daily summary of the latest news and analysts' ratings for Aecon Group and related companies with MarketBeat.com's FREE daily email newsletter .

Supercomputers are known for their high performance, which allows them to solve complex computational problems. The fastest computers in the world, these machines can process massive datasets and perform complex calculations at rapid speeds, capable of solving as many as one quintillion calculations per second. Interestingly, just this week, the tech giant Google unveiled its next-gen chip called ‘Willow,' which operates using superconducting qubits and can solve a complex mathematical problem in just five minutes while reducing errors exponentially. Despite its impressive performance, the quantum chip is nowhere close to breaking modern cryptography. Amidst all this, a new artificial intelligence (AI) comes with the capability to solve complex engineering problems even faster than supercomputers. The new technological solution comes from Johns Hopkins researchers, who can be game-changers in the engineering space. The New Era of AI After being a hot topic for years, AI has finally started to be utilized meaningfully across key industries. Its immense potential to enhance efficiency and productivity has its market growing beyond $184 billion this year and is projected to increase revenue by more than $15 trillion by the end of this decade. A recent report found that 68% of organizations are either actively utilizing Gen AI or have developed roadmaps following successful pilot implementations. As AI continues to transform various industries , especially the engineering landscape, people are now facing the challenge of becoming outdated. Estimates suggest that over the next decade, up to 40% of engineering tasks may get automated. To understand AI's impact on the world, we must first understand that AI is simply a technology that enables machines and computers to simulate human thinking, learning, comprehension, problem-solving, decision-making, and creativity. Underneath AI is machine learning, which involves training an algorithm to create models that utilize data to make decisions and predictions. There are different kinds of machine learning algorithms or techniques, with artificial neural networks being one of the most popular types. These networks are modeled after the structure and function of the human brain. Deep learning, a subset of machine learning, uses multilayered neural networks that are even more effective at simulating the complex decision-making power of the human brain. These networks learn from data and are used to solve different problems, ranging from image and speech recognition to processing natural language. Deep Learning is completely changing the way machines interact with complex data, with the capability to surpass human-level performance while achieving high accuracy. Using AI to Address Complex Problems AI offers numerous benefits, such as automation of repetitive tasks, fewer human errors, round-the-clock availability, and enhanced decision-making, which has led to its application in all kinds of businesses across industries. The technology's ability to efficiently analyze vast amounts of data, identify patterns that may have been missed by humans, and finally execute quick calculations makes AI a great tool for solving complex problems . When dealing with large datasets and intricate decision-making scenarios that would be time-consuming or impossible for humans to address alone, AI can be immensely helpful. Hence, a growing focus on utilizing AI to solve intricate issues. A year ago, researchers from MIT and ETH Zurich used machine learning to solve the optimization problem of efficiently routing holiday packages for companies like FedEx. These companies utilize software called mixed-integer linear programming (MILP) solver that splits the problem into smaller pieces and uses generic algorithms to find the best solution, which could take hours and even days. Here, the key part that slows the entire process is that MILP solvers have too many potential solutions. The researchers used a filtering mechanism to simplify this step, which sped up MILP solvers between 30-70% without affecting the accuracy. For this, the technique relied on the principle of diminishing marginal returns and then used machine learning, trained with a dataset specific to the problem, to find the optimal solution from the reduced number of options. Just earlier this month, a London-based startup, PhysicsX, introduced a large geometry model called LGM-Aero for aerospace engineering. The geometry and physics model is expected to help bring notable reductions in aircraft concept development time. The company has made a reference application (‘Ai.rplane') built on LGM-Aero publicly accessible to showcase the capabilities of its model in generating aircraft designs and predicting physics related to aircraft performance. The model is trained on Amazon Web Services (AWS) cloud compute using over 25 million different shapes, representing over 10 billion vertices. Its training data also includes a collection of computational fluid dynamics (CFD) and finite element analysis (FEA) simulations generated in collaboration with Siemens. Much like how LLMs understand text, the LGM has a vast knowledge of the shapes and structures important to aerospace engineering and, as such, “can optimize across multiple types of physics in seconds, many orders of magnitude faster than numerical simulation, and at the same level of accuracy,” said CEO Jacomo Corbo. This year, OpenAI, the Microsoft-backed AI research company behind ChatGPT, also unveiled its latest models, the o1-preview and o1-mini, claiming a significant leap in the reasoning capabilities of large language models (LLMs). The model comes with the ability to use “chain-of-thought reasoning,” similar to what humans do when solving a problem, which involves dividing complex things into small, manageable tasks. The application of human-like reasoning in LLMs has been previously observed by Google Research and others as well. A New AI Model to Solve PDEs As the usage and popularity of AI continue to grow, so do its capabilities, with researchers and companies working on making the technology better and more accurate. The latest AI framework from Johns Hopkins researchers is taking a generic approach to predict solutions to time-consuming and prevalent math equations. The partial differential equations (PDEs) are a pervasive task in the field of engineering and medicine research. However, the computational costs involved in solving these equations can be prohibitively high. Also, solving these massive math problems generally requires supercomputers, but not anymore. The new AI framework enables even personal computers to tackle these partial differential equations that scientists use to translate real-world processes or systems into mathematical representations of how objects change over time and space. This isn't the first time an AI model has been proposed to solve PDEs; in fact, its idea was first shared a few decades ago. In the emerging field of scientific machine learning, solving partial differential equations with neural networks has been gaining a lot of attention this past decade thanks to all the advances in computational ability for training deep neural networks. Despite the success of the neural operator, which uses AI to learn the PDE solution operator, the latest research noted that computational bottlenecks continue to exist when performing tasks in optimization and prognostication. This is because of the neural operators' inability to evaluate PDE solutions that are dependent on geometry. Currently, the majority of neural operator frameworks, as the study noted, are developed on a domain with fixed boundaries. Also, having shape variations requires retraining the neural network. So, with the aim of addressing these computational challenges, the researchers proposed DIMON — Diffeomorphic Mapping Operator Learning. For this, they combined neural operators with diffeomorphic mappings between domains and shapes. The model eliminates the need to recalculate grids with every form change. This way, DIMON can speed up simulations and optimize designs by predicting just how physical elements such as motion, stress, and heat behave across different shapes instead of breaking down complex shapes into small elements. Generally, solving these equations involves breaking complex shapes, such as human organs or airplane wings, into grids or meshes made of small elements. The problem is then solved on each simple piece before it is recombined. However, if these shapes change due to a crash or deformation, the grids must be updated . This means the solutions need to be recalculated, too, which makes the entire computation process not only expensive but also slow. DIMON here employs AI to understand the way physical systems work with various shapes. So, researchers don't have to divide shapes into grids and solve equations again and again; rather, the AI makes use of the patterns it has learned to predict just how different factors will behave, making it more efficient and faster to model shape-specific scenarios and optimize designs. According to co-lead Natalia Trayanova, a biomedical engineering and medicine professor at Johns Hopkins University: “While the motivation to develop it came from our own work, this is a solution that we think will generally have a massive impact on various fields of engineering because it's very generic and scalable.” A Tipping-Point for Engineering Designs The new AI framework provides an approach that allows for fast prediction of PDE solutions on multiple domains. Moreover, it facilitates many downstream applications using AI. Talking about the model's capabilities, Trayanova noted that DIMON can basically work on any problem in any field of science or engineering to solve PDE on multiple geometries. This includes crash testing, analyzing how spacecraft respond to extreme environments, assessing how bridges resist stress, studying how fluids propagate through different geometries, doing orthopedics research, and addressing other complex problems where materials and shapes change. The modeling of all these scenarios can now be made a lot faster thanks to the new AI framework. To demonstrate the applicability of the new model in solving other kinds of engineering problems, the team tested DIMON on more than 1,000 heart “digital twins.” These digital twins are highly detailed computer models of the hearts of real patients. It is by solving partial differential equations that cardiac arrhythmia is studied. The condition causes irregular beating in the heart due to an electrical impulse misbehavior. The digital twins of hearts enable researchers to determine if patients may get this condition, which is often fatal, and then recommend ways to treat it. The new AI framework was found successful in predicting how electrical signals transmit through each unique heart shape with high accuracy without even needing to perform expensive numerical simulations. Trayanova, the director of the Johns Hopkins Alliance for Cardiovascular Diagnostic and Treatment Innovation, applies data-driven approaches, computational modeling, and innovations in cardiac imaging to diagnose and treat cardiovascular disease. They are constantly introducing novel technology into the clinic. However, she noted that their solutions are still too slow as it takes them about a week to scan the heart of a patient and solve PDE to predict if the patient is at high risk for sudden cardiac death and then provide the best treatment plan. But this is seeing a monumental shift with their latest model. “With this new AI approach, the speed at which we can have a solution is unbelievable.” – Trayanova The time it takes to make the prediction of a heart digital twin has been reduced from several hours to just half a minute (30 seconds). This isn't even all; calculating this doesn't even require a supercomputer. Rather, it's all done on a desktop computer, which Trayanova said would allow them “to make it part of the daily clinical workflow.” The versatility of the technology makes it perfect for situations where solving partial differential equations on new shapes is repeatedly needed. “For each problem, DIMON first solves the partial differential equations on a single shape and then maps the solution to multiple new shapes. This shape-shifting ability highlights its tremendous versatility. We are very excited to put it to work on many problems as well as to provide it to the broader community to accelerate their engineering design solutions.” – Minglang Yin, a postdoc fellow at Johns Hopkins Biomedical Engineering, who developed the platform Companies Advancing AI Now, let's take a look at companies that are helping take the technological revolution of AI to new heights. 1. NVIDIA Corporation ( NVDA -2.25% ) A leading provider of GPUs, Nvidia is the world's second-largest company , with a market cap of $3.28 trillion. At the time of writing, its shares are trading at $133.91, up a whopping 171.9% year-to-date (YTD) while having an EPS (TTM) of 2.54, a P/E (TTM) of 52.90, and a ROE (TTM) of 127.21% while paying a dividend yield of 0.03%. NVIDIA Corporation ( NVDA -2.25% ) (function () { var script = document.createElement('script'); script.src = 'https://s3.tradingview.com/external-embedding/embed-widget-advanced-chart.js'; script.async = true; script.innerHTML = JSON.stringify({ 'autosize': true, 'width': '100%', 'height': '440', 'symbol': 'NASDAQ:NVDA', 'range': 'YTD', 'timezone': 'Etc/UTC', 'theme': 'light', 'style': '3', 'locale': 'en', 'hide_top_toolbar': false, 'hide_legend': true, 'allow_symbol_change': false, 'save_image': false, 'calendar': false, 'hide_volume': true, 'withdateranges': true, 'support_host': 'https://www.tradingview.com' }); document.currentScript.parentNode.insertBefore(script, document.currentScript); })(); The company's hardware and software solutions are crucial for deep learning applications and engineering simulations, playing an important role in advancing the AI revolution. Driven by AI mania, Nvidia reported a revenue of over $35 billion for Q3 ended October 27, 2024, which is an increase of 17% from the previous quarter and a massive 94% increase from a year ago. “The age of AI is in full steam, propelling a global shift to NVIDIA computing,” said CEO and founder Jensen Huang, who further noted that AI is not only transforming companies and industries but also countries that are “awakened to the importance of developing their national AI and infrastructure.” 2. Microsoft Corporation ( MSFT -0.51% ) Having a market cap of $3.32 trillion puts Microsoft among the world's top three companies by market cap. Its shares, as of writing, are trading at $447.24, representing an increase of almost 19% YTD. This puts the company's EPS (TTM) at 12.11, P/E (TTM) at 36.92, and ROE (TTM) at 35.60%. The dividend yield paid by Microsoft, meanwhile, is 0.74%. Microsoft Corporation ( MSFT -0.51% ) (function () { var script = document.createElement('script'); script.src = 'https://s3.tradingview.com/external-embedding/embed-widget-advanced-chart.js'; script.async = true; script.innerHTML = JSON.stringify({ 'autosize': true, 'width': '100%', 'height': '440', 'symbol': 'NASDAQ:MSFT', 'range': 'YTD', 'timezone': 'Etc/UTC', 'theme': 'light', 'style': '3', 'locale': 'en', 'hide_top_toolbar': false, 'hide_legend': true, 'allow_symbol_change': false, 'save_image': false, 'calendar': false, 'hide_volume': true, 'withdateranges': true, 'support_host': 'https://www.tradingview.com' }); document.currentScript.parentNode.insertBefore(script, document.currentScript); })(); Microsoft's biggest involvement in AI is through OpenAI, in which it has poured more than $13 billion. In addition to its partnership with OpenAI, which was recently valued at $150bn, Microsoft is also heavily invested in AI research, cloud solutions, and applications for engineering and scientific computing. For the period between July and September, the company reported $65.6 billion in sales, an increase of 16% from a year earlier, while its profits rose 11% to $24.7 billion. This growth was propelled by demand continuing “to be higher than our available capacity,” as per Microsoft's finance chief. 3. ANSYS, Inc. ( ANSS -0.39% ) This one specializes in engineering simulation software for solving complex problems. The company, whose services are used by students, researchers, designers, and engineers, is also increasingly integrating AI to enhance efficiency. With a market cap of $29.75 billion, the shares of Ansys are currently trading at $339.51, down 6.24% this year. This has the company's EPS (TTM) of 6.47, a P/E (TTM) of 52.55, and an ROE (TTM) of 10.48%. ANSYS, Inc. ( ANSS -0.39% ) (function () { var script = document.createElement('script'); script.src = 'https://s3.tradingview.com/external-embedding/embed-widget-advanced-chart.js'; script.async = true; script.innerHTML = JSON.stringify({ 'autosize': true, 'width': '100%', 'height': '440', 'symbol': 'NASDAQ:ANSS', 'range': 'YTD', 'timezone': 'Etc/UTC', 'theme': 'light', 'style': '3', 'locale': 'en', 'hide_top_toolbar': false, 'hide_legend': true, 'allow_symbol_change': false, 'save_image': false, 'calendar': false, 'hide_volume': true, 'withdateranges': true, 'support_host': 'https://www.tradingview.com' }); document.currentScript.parentNode.insertBefore(script, document.currentScript); })(); For 3Q24, Ansys reported $601.9 million in revenue, up 31% from the third quarter last year, while its annual contract value (ACV) was $540.5 million. The GAAP operating profit margin was reported to be 26.8%, while the non-GAAP operating profit margin was 45.8%. Operating cash flows for the period came in at $174.2 million, while its deferred revenue and backlog were $1,463.8 million. Conclusion AI is advancing at a rapid pace, and the introduction of new AI frameworks like DIMON marks a revolutionary step in solving complex engineering problems while drastically reducing the time and computational costs associated with them. This way, the breakthrough not only accelerates engineering design processes but also expands AI's application across diverse fields. As researchers, along with companies like Nvidia, continue to make big discoveries, build powerful models, and advance technologies, the potential for integrating AI into everyday workflows grows exponentially, which points to a new era where AI drives unprecedented efficiency and innovation! Click here to learn all about investing in artificial intelligence.

The Bay Area is abuzz with excitement as innovative events highlight the groundbreaking fusion of artificial intelligence (AI) and robotics. As these two fields increasingly intertwine, experts and enthusiasts alike gather to witness and discuss their transformative impacts on technology and society. Revolutionary Technologies Unveiled In recent gatherings, cutting-edge technology demonstrations have captured the imagination of attendees. Spectacular showcases have featured advancements where AI algorithms empower robots with heightened intelligence and adaptability. These developments promise not only to revolutionize industries but also to redefine everyday life. Industry Leaders and Visionaries Weigh In Throughout the events, key figures from the tech industry have shared insights into how the integration of AI and robotics is speeding up innovation. They painted a picture of the near future where autonomous machines perform complex tasks with ease, from manufacturing to healthcare. This convergence marks a crucial moment in tech evolution, as ideas that once seemed like science fiction steadily become reality. Challenges and Ethical Considerations While the potential benefits are vast, experts caution about the challenges and ethical concerns posed by this technological synergy. Issues such as privacy, security, and the future of employment were recurrent themes in discussions. These concerns highlight the need for responsible innovation and thoughtful governance to ensure these technologies benefit society as a whole. This convergence of AI and robotics heralds a new era of innovation, inviting both anticipation and contemplation about how these technologies will shape our world. AI and Robotics: The Future Unleashed The Bay Area is witnessing a surge of interest as artificial intelligence (AI) and robotics intertwine, leading to transformative impacts across the globe. As these technologies evolve hand in hand, a plethora of new features, challenges, and predictions emerge. Key Innovations and Features Recent events in the Bay Area highlighted groundbreaking innovations in AI and robotics. Developers showcased robots with advanced AI algorithms capable of learning and adapting in real time. This empowers machines to not only perform intricate tasks autonomously but also make decisions that boost efficiency and productivity. For instance, robots in manufacturing now optimize their workflows, minimizing waste and improving output quality. Use Cases and Industry Applications The integration of AI and robotics is revolutionizing various sectors, including healthcare and logistics. In healthcare, robotic systems are being designed to assist with surgeries, provide patient care, and manage hospital logistics. In logistics, AI-powered robots efficiently manage warehouses, handle packaging, and optimize supply chain processes, significantly reducing costs and delivery times. Predictions and Trends As AI continues to evolve, industry experts predict a rise in collaborative robots, or “cobots,” designed to work alongside humans safely. This trend will likely lead to workplaces where humans and robots collaborate, combining cognitive skills with physical capabilities to accomplish tasks. Comparisons and Market Analysis In comparing traditional automation with AI-enhanced robotics, the latter stands out for its adaptability and learning potential. Conventional robots follow pre-set instructions, while AI-driven machines can learn from their environment, adapting to changes without human intervention. This difference offers substantial competitive advantages in rapidly changing industries. According to recent market analyses, the AI and robotics sector is poised for exponential growth, with projections indicating a market value reaching several hundred billion dollars within the next decade. This is driven by increasing demand for automation and smart technologies across all sectors. Challenges and Ethical Considerations However, the rise of AI and robotics brings forth significant challenges. Privacy concerns are paramount, as AI systems require access to vast amounts of data to function effectively. Security is also a concern, with potential vulnerabilities in systems that could be exploited. Moreover, the impact on employment remains a major topic of discussion, urging a reevaluation of job roles in automated environments. Security Aspects and Governance Given the critical importance of privacy and security, industry leaders are calling for stringent governance frameworks. These would ensure AI and robotic systems are designed with robust safeguards, protecting sensitive data and ensuring safe usage. A Call for Sustainability Sustainability is emerging as a crucial focus area, with innovators striving to develop eco-friendly robots that minimize energy consumption and environmental impact. This aligns with global efforts to combat climate change and promote sustainable technological advancement. These developments in AI and robotics signal the dawn of a new era, reshaping industries and redefining how society interacts with technology. The ongoing dialogue around these advancements underscores the importance of balancing innovation with ethics, sustainability, and governance to maximize benefits for all of society. For more information on cutting-edge technologies in AI and robotics, visit TechCrunch .

Which of Your Selves Should Win?None

A man is sharing his frustrations with his roommate's technological inabilities after repeatedly helping him with basic computer issues that the roommate refuses to learn to fix on his own. In a post to , the man, 27, writes that he and his roommate, 31, are "good friends," attending college together and playing card games in their spare time. The man writes that he considers himself to be "pretty good with technology" — "nothing crazy but comfortable enough to do some pretty neat stuff with it." His boyfriend, 33, is also pretty "sharp" with computers and has an IT job. The couple loves playing video games together, especially "massively multiplayer online role-playing games" where thousands of people can join and play together online. The man ran into trouble recently when his roommate wanted to be included in the video game fun. The poster writes that his roommate is "terrible with technology to an inexcusable level. And to make matters worse, despite knowing how to google things or use trial and error, every time he runs into something challenging with technology, he’ll just say he doesn’t know what to do and sit there waiting for someone to fix it for him." Shutterstock/Shakirov Albert The man writes that his roommate's actions make him feel like a nanny, "constantly running into his room to help do the most basic stuff as if he were a baby. I’ve tried telling him to just follow a tutorial, or google it but even then he’ll whine that he doesn’t get it. I’ve gotten fed up because no matter how many times I show him how to do something, the minute he comes across it again he again just sits there and waits for someone else to fix it." Related: The man writes that his frustrations with his roommate have reached a tipping point, and that he's started to "get harsher in telling him he can either google it or log off because I’m not helping, I am so tired of this." His roommate's excuse for not figuring out his tech issues? "He tells me he never had a computer growing up and simply never got good at using them. But I think that’s ridiculous as I didn’t have a lot of things growing up that I know how to use now," the poster adds. The man gave his roommate an ultimatum of three options for when he and his boyfriend are playing video games: "1. Don’t join. 2. Join and google stuff and stop being a chore for others to deal with because he’s too lazy to figure it out on his own. 3. Pay $10 per occupancy of incompetence and asking for help until he gets tired of wasting money and figured it out himself." Related: People in the comments were quick to defend the original poster, with one user commenting: "I think you’re in the right here. It’s frustrating to constantly help someone who doesn’t make an effort to learn or solve problems on their own...Charging him a small fee might be a wake-up call that he needs to put in some effort instead of relying on others." The original poster replied with some context, saying he only came up with the idea of charging money because his boyfriend mentioned that that thanks to his own IT job, he doesn't have a problem helping people with their tech issues. This prompted the poster to realize that his boyfriend "makes a living wage doing it" and "that it was work and a job that I was essentially providing for free, so he suggested I should probably just start charging for it." Read the original article onEL SEGUNDO, Calif. (AP) — Justin Herbert is dealing with an ankle injury for the second time this season. The Chargers quarterback did not practice Wednesday as Los Angeles began preparations for its game Sunday against Tampa Bay. Herbert injured his left ankle during the first quarter of last Sunday's 19-17 loss at Kansas City. Javascript is required for you to be able to read premium content. Please enable it in your browser settings.

Dharavi Redevelopment Project Pvt Ltd (DRPPL), the company undertaking the ambitious plan of revamping Dharavi, Asia's largest slum in Mumbai, has renamed itself as Navbharat Mega Developers Pvt Ltd (NMDPL). ET Year-end Special Reads Take That: The gamechanger weapon's India acquired in 2024 10 big-bang policy moves Modi government made in 2024 How governments tried to rein in the social media beast The rebranding exercise has received the affirmation of its board of directors and the Ministry of Corporate Affairs, the company said. NMDPL is a special purpose vehicle between the Government of Maharashtra--through the Dharavi Redevelopment Project (DRP) / Slum Rehabilitation Authority (SRA)--and the Adani Group . While an Adani Group entity holds 80% stake in the company, the government of Maharashtra controls the balance 20% stake. The change in name does not alter the government’s role in the project. The role of the government of Maharashtra remains unchanged and DRP continues to be the supervising authority for the ambitious project. 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In November 2022, Adani Properties, the realty development company owned by Gautam Adani-led Adani Group, had emerged as the highest bidder to bag the rights to undertake the Rs 20,000-crore project covering nearly 600 acres in the heart of the country's commercial capital. Nominations for ET MSME Awards are now open. The last day to apply is December 31, 2024. Click here to submit your entry for any one or more of the 22 categories and stand a chance to win a prestigious award. (You can now subscribe to our Economic Times WhatsApp channel )