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Penn State football players offer thanks to their families, at home and at school [opinion]AP Sports SummaryBrief at 6:18 p.m. EST

Looking Forward

Sebastian Mack made up for a pair of missed late free throws by converting a three-point play with 33 seconds remaining as No. 22 UCLA earned a 65-62 victory over No. 14 Gonzaga on Saturday in the West Coast Hoops Showdown at Inglewood, Calif. Eric Dailey Jr. led UCLA with 18 points and shot 4 of 5 from 3-point range. Kobe Johnson scored all 12 of his points on 4-of-6 shooting from beyond the arc for the Bruins and added eight rebounds. Skyy Clark scored 11 points for UCLA (11-2) with a game-high nine rebounds, while dishing out seven assists. Graham Ike led all scorers with 24 points on 11-of-16 shooting from the floor for Gonzaga (9-4) and snared eight rebounds. Ryan Nembhard finished with 16 points and eight assists for the Bulldogs. Tied 58-58 with 1:18 remaining, Mack drew a shooting foul on Gonzaga's Ike but missed both free throws. Ike's rebound led to Nembhard's go-ahead, pull-up jumper with 56 seconds to go as Gonzaga led 60-58. Mack earned a chance at redemption when he scored on a floater with contact from Emmanuel Innocenti. Mack's bonus foul shot put the Bruins ahead 61-60 to help make up for a rough 1-of-7 shooting afternoon. Clark made a pair of free throws after Dusty Stormer's missed 3-point attempt as UCLA grabbed a 63-60 lead with 13 seconds remaining. The Bruins needed the cushion, as Gonzaga executed a length-of-the-court play that sprung Nembhard for a streaking layup while he was fouled by Mack. But Nembhard missed the free throw that would have tied the game. Down by three in the closing seconds, Nembhard inexplicably took a shot from well beyond half court with four seconds still remaining that was off target. The victory was the Bruins' first over the Bulldogs since 2015, and the fourth game between the teams since the 2020-21 season that was decided by four points or fewer. Gonzaga lost guard Khalif Battle early in the first half when he was ejected for a flagrant foul call on a blocked-shot attempt against Dailey. Battle's ejection contributed to a rough opening for Gonzaga, which trailed by 11 before pulling within two points by halftime. Neither team led by more than six points over the final 17:12. --Field Level Media

In a rapidly evolving digital landscape, Balachandar Ramalingam's leadership in implementing an AI-driven 3D Data Classification and Standardization System marks a groundbreaking achievement in component management for global product lines. In this interview, we discuss the challenges, innovations, and significant impact of this project, which has redefined intelligent manufacturing processes. Could you start by telling us what motivated you to pursue this AI-based transformation in component management? Certainly! The motivation stemmed from the complexities of managing increasingly diverse product portfolios. As operations expanded globally, legacy systems struggled to keep pace with the demand for accurate component identification. This led to inefficiencies, higher inventory costs, and longer procurement cycles. We needed a solution that could automate and standardize the way we classified and managed components, and AI was the perfect fit for this challenge. What was the core idea behind the AI-based system you developed? The core idea was to build an intelligent, shape-based component classification system powered by AI. We focused on creating a centralized repository of standardized component data, accessible across all our global operations. The AI model we developed could automatically identify, classify, and match components based on their shapes, ensuring consistency and reducing redundancies. This system also made it easier for teams to quickly find and reuse components across different product lines, which was a game-changer for us. How did the collaboration with cross-functional teams play a role in the success of this project? Collaboration was crucial. We worked closely with data scientists, design engineers, supply chain teams, and manufacturing experts. Each team brought unique insights into the classification process and its challenges. This cross-functional collaboration helped refine the AI model and ensure its successful implementation across various regions. Having a unified approach allowed us to address complex problems more effectively and align our efforts with the global strategy. What were the measurable outcomes of this initiative? The impact was substantial. We achieved a 20% reduction in inventory costs through improved component identification and reuse. Our supply chain efficiency also increased by 18%, thanks to better component standardization and streamlined procurement processes. Most importantly, overall profitability improved by 10%, which highlights the broader operational benefits of the system. The project didn’t just save costs – it also optimized our resources and accelerated product development cycles. How did this project improve time-to-market and resource utilization? By reducing procurement lead times and enabling teams to reuse components more efficiently, we could get products to market much faster. The AI system also helped identify underutilized components across product lines, improving resource allocation. This meant that manufacturing teams could focus on innovation instead of spending excessive time sourcing and managing new parts. What were some key insights you gained from this transformation process? One key insight was the importance of having high-quality training data for machine learning models. The accuracy of the system depended heavily on the data we fed it. Another important lesson was the need for continuous improvement – the AI model had to be constantly refined based on real-world feedback. We also learned that proper integration and alignment across teams were essential for successful system adoption. Looking ahead, what does the future hold for AI in manufacturing? This project has set a strong foundation for future AI applications in manufacturing. The success we’ve seen with component classification can be extended to other areas like predictive maintenance and supply chain optimization. I believe AI will continue to revolutionize manufacturing by improving efficiency, reducing costs, and driving innovation. Finally, how has this project impacted your career? This project has been a significant milestone in my career. It not only deepened my expertise in AI but also gave me invaluable experience in leading large-scale systems deployment. The success of this initiative has positioned me as an innovator in manufacturing technology, and I’m excited to continue exploring new ways AI can enhance industrial processes.Leader of California white supremacist group gets two years in prison

WILMINGTON, Del. (AP) — Attorneys for Fox Corp. asked a Delaware judge Friday to dismiss a shareholder lawsuit seeking to hold current and former company officials personally liable for the financial fallout stemming from Fox News reports regarding alleged vote rigging in the 2020 election. Five New York City public employee pension funds, along with Oregon’s public employee retirement fund, allege that former chairman Rupert Murdoch and other Fox Corp. leaders deliberately turned a blind eye to liability risks posed by reporting false claims of vote rigging by election technology companies Dominion Voting Systems and Smartmatic USA. Smartmatic is for defamation in New York, alleging damages of $2.7 billion. It recently in the District of Columbia against One America News Network, another conservative outlet, over reports of vote fraud. Dominion also filed several defamation lawsuits against blaming its election equipment for Donald Trump’s loss in 2020. Last year, a defamation lawsuit filed by Dominion in Delaware for $787 million. The shareholder plaintiffs also allege that Fox corporate leaders ignored “red flags” about liability arising from a 2017 report suggesting that Seth Rich, a Democratic National Committee staffer, may have been killed because he had leaked Democratic party emails to Wikileaks during the 2016 presidential campaign. Rich, 27, was shot in 2016 in Washington, D.C., in what authorities have said was an attempted robbery. Fox News retracted the Seth Rich story a week after its initial broadcast, but Rich’s parents sued the network for falsely portraying their son as a criminal and traitor. Fox News in 2020 for “millions of dollars,” shortly before program hosts Lou Dobbs and Sean Hannity were to be deposed, according to the shareholder lawsuit. Joel Friedlander, an attorney for the institutional shareholders, argued that Fox officials waited until the company’s reporting about Rich became a national scandal before addressing the issue. Similarly, according to the shareholders, corporate officials, including Rupert Murdoch and his son, CEO Lachlan Murdoch, allowed Fox News to continue broadcasting false narratives about the 2020 election, despite internal communications suggesting that they knew there was no evidence to support the conspiracy theories. “The Murdochs could have minimized future monetary exposure, but they chose not to,” Friedlander said. Instead, he argued, they engaged in “bad-faith decision making” with other defendants in a profit-driven effort to retain viewers and remain in Trump’s good graces. “Decisions were made at the highest level to promote pro-Trump conspiracy theories without editorial control,” Friedlander said. Defense attorneys argue that the case should be dismissed because the plaintiffs filed their lawsuit without first demanding that the Fox Corp. board take action, as required under Delaware law. They say the plaintiffs also failed to demonstrate that a pre-suit demand on the Fox board would have been futile because at least half of the directors face a substantial likelihood of liability or are not independent of someone who does. Beyond the “demand futility” issue, defense attorneys also argue that allegations that Fox officials breached their fiduciary duties fail to meet the pleading standards under Delaware and therefore should be dismissed. Defense attorney William Savitt argued, for example, that neither the Rich settlement, which he described as “immaterial,” nor the allegedly defamatory statements about Dominion and Smartmatic constitute red flags putting directors on notice about the risk of defamation liability. Nor do they demonstrate that directors acted in bad faith or that Fox “utterly failed” to implement and monitor a system to report and mitigate legal risks, including defamation liability risk, according to the defendants. Savitt noted that the Rich article was promptly retracted, and that the settlement included no admission of liability. The Dominion and Smartmatic statements, meanwhile, gave rise themselves to the currently liability issues and therefore can not serve as red flags about future liability risks, according to the defendants. “A ‘red flag’ must be what the term commonly implies — warning of a risk of a liability-causing event that allows the directors to take action to avert the event, not notice that a liability-causing event has already occurred,” defense attorneys wrote in their motion to dismiss. Defense attorneys also say there are no factual allegations to support claims that Fox officials condoned illegal conduct in pursuit of corporate profits, or that they deliberately ignored their oversight responsibilities. They note that a “bad outcome” is not sufficient to demonstrate “bad faith.” Vice Chancellor J. Travis Laster is expected to rule within 90 days.

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