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Matthew Boyd suffers freak injury while playing with his kids as Cubs pitching luck somehow gets worse
Former LSU coach Brian Kelly uses AI to prepare for job interviews, proving he's just like the rest of us Newsom office source responds to planned protest against trans athlete at state playoff girls' track meet Framber Valdez gets what he deserves for punk move, suspended six games after drilling Boston's Trevor Story MLB's new automated strike zone has a hidden feature helping umpires become more accurate than ever FIFA's World Cup ticket defense falls apart when compared to college football and NFL playoff prices Sophie Cunningham tells Angel Reese to'move on' after she reposted boyfriend dunking on rumored ex Pratt issues SHOCKING WARNING to socialist opponent: 'Stabbed in the NECK!' 'Fox & Friends' explores wearable technology's role in health and wellness NJ family outraged over killer's plea deal for slain daughter Jillian Ludwig Craig Counsell called the injury'kind of unexplainable' as Chicago placed Boyd on the 15-day injured list Wednesday Cubs co-owner tells Dan Dakich he believes the MLB will have an Opening Day next season & avoid a strike that bleeds into the start of the season. It's incredible, and also a bit depressing, that the following statement is factually accurate: Chicago Cubs starting pitcher Matthew Boyd will miss a considerable amount of time for being a good father. The 35-year-old sustained a left meniscus injury while reportedly sitting down to play with his kids. Prior to Chicago's contest against the Cincinnati Reds on Wednesday, Cubs manager Craig Counsell revealed that the knee injury would require surgery. It's kind of unexplainable, Counsell very fairly said.
Are lasers the future of anti-drone warfare?
Are lasers the future of anti-drone warfare? A drone appears on the grainy, gray-scaled image of the thermal camera. This is the type of drone used by groups such as Hezbollah, Hamas and the Yemeni Houthis. Seconds later, the wing of the drone snaps off, sending it tumbling down, exploding when it hits the ground. This is a video shared by the Israeli Ministry of Defence and arms producer Rafael, a hint towards the future of anti-drone warfare.
Ukraine proves America's secret weapon works -- now we must double down on it
Fox News chief political analyst Brit Hume explains why President Donald Trump should not remove himself from the peace negotiations between Russia and Ukraine and more on'Special Report.' When Russia invaded Ukraine in February 2022, many experts predicted Kyiv's quick fall. When Ukraine pushed back overextended Russian forces, the same experts confidently said that Russia's mass -- a population almost four times larger than Ukraine -- would certainly grind Ukraine down. Triumph for Putin was inevitable. But, an odd thing happened on the way to Russia's victory parade: Ukraine is outfighting Russia.
Relational Weight Optimization for Enhancing Team Performance in Multi-Agent Multi-Armed Bandits
Kotturu, Monish Reddy, Movahed, Saniya Vahedian, Robinette, Paul, Jerath, Kshitij, Redlich, Amanda, Azadeh, Reza
Using a graph to represent the team behavior ensures that the relationship between Multi-Armed Bandits (MABs) are a class of reinforcement the agents are held. However, existing works either do learning problems where an agent is presented with a set of not consider the weight of each relationship (graph edges) arms (i.e., actions), with each arm giving a reward drawn (Madhushani and Leonard, 2020; Agarwal et al., 2021) or from a probability distribution unknown to the agent expect the user to manually set those weights (Moradipari (Lattimore and Szepesvรกri, 2020). The goal of the agent et al., 2022). is to maximize its total reward which requires balancing In this paper, we propose a new approach that combines exploration and exploitation. MABs offer a simple model graph optimization and MAMAB algorithms to enhance to simulate decision-making under uncertainty. Practical team performance by expediting the convergence to consensus applications of MAB algorithms include news recommendations of arm means. Our proposed approach: (Yang and Toni, 2018), online ad placement (Aramayo et al., 2022), dynamic pricing (Babaioff et al., 2015), improves team performance by optimizing the edge and adaptive experimental design (Rafferty et al., 2019). In weights in the graph representing the team structure contrast to single-agent cases, in certain applications such in large constrained teams, as search and rescue, a team of agents should cooperate does not require manual tuning of the graph weights, with each other to accomplish goals by maximizing team is independent of the MAMAB algorithm and only performance. Such problems are solved using Multi-Agent depends on the consensus formula, and Multi-Armed Bandit (MAMAB) algorithms (Xu et al., formulates the problem as a convex optimization, which 2020). Most existing algorithms rely on the presence of is computationally efficient for large teams.
US Homeland Security will reportedly collect face scans of migrant kids
Update, August 15, 5:50PM ET: The US Department of Homeland Security has issued a statement disputing some of MIT Technology Review's reporting. We've updated our post below with its statement and more details. The US Department of Homeland Security (DHS), which is looking to improve its facial recognition algorithms, is reportedly planning to use the facial data of migrant children entering the country for training. According to MIT Technology Review, the agency intends to collect and analyze facial captures of kids younger than 14. John Boyd, the assistant director of Homeland Security's Office of Biometric Identity Management who's involved in the development of biometric services for the government, told the publication that the collection will include children "down to the infant."
The US wants to use facial recognition to identify migrant children as they age
As Boyd explained at a conference in June, the key question for OBIM is, "If we pick up someone from Panama at the southern border at age four, say, and then pick them up at age six, are we going to recognize them?" Facial recognition technology (FRT) has traditionally not been applied to children, largely because training data sets of real children's faces are few and far between, and consist of either low-quality images drawn from the internet or small sample sizes with little diversity. Such limitations reflect the significant sensitivities regarding privacy and consent when it comes to minors. According to Syracuse University's Transactional Records Access Clearinghouse (TRAC), 339,234 children arrived at the US-Mexico border in 2022, the last year for which numbers are currently available. Of those children, 150,000 were unaccompanied--the highest annual number on record.