wolverine
Michigan exercises clock demons from week one win, vanquishes 11th ranked Oklahoma in Ann Arbor
Former ESPN host hypocritically calls network a'political lobbying firm' after Ted Cruz appearance Team USA survives Spain scare with fourth-quarter surge to reach FIBA Women's World Cup final It's only week two, but Kansas QB Isaiah Marshall might have completed the pass of the year WWE's Roxanne Perez earns No 1 contender spot for AAA Reina de Reinas Championship at Triplemania 34 Ted Cruz got booed so loudly during'College GameDay' interview you couldn't hear a thing he said Alabama vs Kentucky over 48.5 is the college football betting play as both offenses look strong Texas Longhorns seek revenge against top-ranked Ohio State after last season's seven-point loss OutKick's Craig Carton reveals the real reason Nike stock is in the tank: 'They're failing miserably' Missouri coach explains why he tried to'embarrass' rival Kansas in final seconds Yankees, sports world remember 25th anniversary of 9/11 with'God Bless America' and moments of silence GOP pours millions into Paxton's Texas US Senate bid Rogers addresses El-Sayed's football challenge Anthropic CEO issues warning about advanced AI's capabilities Rep Luna urges Congress to act on AI after Anthropic CEO's warning Tom Brady took us back to relive Michigan's controversial Hail Mary survival vs. Michigan didn't need any help from a phantom clock this week. The Wolverines used a steady dose of quarterback runs and won the turnover battle en route to a 17-10, grind-it-out win over 11th-ranked Oklahoma in Ann Arbor. Just one week removed from a controversial victory against Western Michigan, in which officials added an extra second to the clock to allow for a game-winning Hail Mary, many had written the Wolverines off for dead. Instead, head coach Kyle Whittingham and his team buckled down and rose to the challenge. Make no mistake about it, this was a vintage Big Ten performance.
Review: 'Marvel's Wolverine' is gleefully bloody fun and will leave you emotionally bleeding too
Mashable Selects Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Creator Playbook Look Up Back to School Say More Trending Now Good Connection: Uplifting stories for a digital age Switch Off Mashable Voices Safety Net Versus All Series Review: 'Marvel's Wolverine' is gleefully bloody fun and will leave you emotionally bleeding too We've been waiting a long time to play this one. George is a freelance gaming and tech writer. He started in 2019 and has written for places including Mashable, the,, and . For Mashable, George has reviewed new games like, as well as the new ROG Xbox Ally X gaming handheld. In his career, George has also written guides, reviews, interviews, and features for a variety of gaming genres, including Japanese RPGs, first-person shooters, and action-adventure games.
Factual and Personalized Recommendations using Language Models and Reinforcement Learning
Jeong, Jihwan, Chow, Yinlam, Tennenholtz, Guy, Hsu, Chih-Wei, Tulepbergenov, Azamat, Ghavamzadeh, Mohammad, Boutilier, Craig
Recommender systems (RSs) play a central role in connecting users to content, products, and services, matching candidate items to users based on their preferences. While traditional RSs rely on implicit user feedback signals, conversational RSs interact with users in natural language. In this work, we develop a comPelling, Precise, Personalized, Preference-relevant language model (P4LM) that recommends items to users while putting emphasis on explaining item characteristics and their relevance. P4LM uses the embedding space representation of a user's preferences to generate compelling responses that are factually-grounded and relevant w.r.t. the user's preferences. Moreover, we develop a joint reward function that measures precision, appeal, and personalization, which we use as AI-based feedback in a reinforcement learning-based language model framework. Using the MovieLens 25M dataset, we demonstrate that P4LM delivers compelling, personalized movie narratives to users.
Sony reveals 'God of War 2,' 'Spider-Man 2' and 'Wolverine' game at PlayStation 5 showcase
Sony issued a disclaimer ahead of Thursday's showcase that the next generation of PlayStation's virtual reality tech wouldn't make an appearance. Also absent was a much-anticipated update about the PS5′s expanded storage feature. Over the summer, Sony launched a beta program for the long-awaited feature, which allows users to expand their device's storage using specific M. 2 solid-state drives, for select users in the United States, Canada, France, Japan, Germany and the U.K. When it will roll out to the general public remains unclear.
The Steiner Multigraph Problem: Wildlife Corridor Design for Multiple Species
Lai, Katherine J. (Cornell University) | Gomes, Carla P. (Cornell University) | Schwartz, Michael K. (USDA Forest Service Rocky Mountain Research Station) | McKelvey, Kevin S. (USDA Forest Service Rocky Mountain Research Station) | Calkin, David E. (USDA Forest Service Rocky Mountain Research Station) | Montgomery, Claire A. (Oregon State University)
The conservation of wildlife corridors between existing habitat preserves is important for combating the effects of habitat loss and fragmentation facing species of concern. We introduce the Steiner Multigraph Problem to model the problem of minimum-cost wildlife corridor design for multiple species with different landscape requirements. This problem can also model other analogous settings in wireless and social networks. As a generalization of Steiner forest, the goal is to find a minimum-cost subgraph that connects multiple sets of terminals. In contrast to Steiner forest, each set of terminals can only be connected via a subset of the nodes. Generalizing Steiner forest in this way makes the problem NP-hard even when restricted to two pairs of terminals. However, we show that if the node subsets have a nested structure, the problem admits a fixed-parameter tractable algorithm in the number of terminals. We successfully test exact and heuristic solution approaches on a wildlife corridor instance for wolverines and lynx in western Montana, showing that though the problem is computationally hard, heuristics perform well, and provably optimal solutions can still be obtained.