AB Hernandez advances in California state championship as Save Girls' Sports activists rally nearby Tennis player Rafael Jodar accused of pushing French Open ball girl, but did he really? Steve Hilton rips Steyer for trans athlete support, leads'Save Girls Sports' rally at track title meet Umpire Dan Bellino's baffling foul tip call on Seiya Suzuki renews calls for robot review in MLB Dakich: sports media has created an'industry' out of complaining about white athletes like Caitlin Clark Oregon father issues plea as legislation could free daughter's murderer Rachel Campos-Duffy: AOC driven by'Marxist mindset,' a'true believer' Spencer Pratt responds to Newsom's Bass endorsement, calls them'alleged criminal partners' Speaker Johnson outlines plan to defeat'socialist and extremist' Democrats Trump set for'final determination' on Iran nuclear deal OutKick-Sports The 2007 Mountaineers remain college football's greatest'what-if' story nearly two decades later Rich Rodriguez's spread offense was unstoppable all season until a 13-9 loss to Pitt in the Backyard Brawl ended it all When you ask any college football fan worth their salt which season was the craziest one they can remember, most of them will answer 2007 without hesitation. And who could blame them? After all, it was a year that featured one of the most shocking upsets in college football history, with Appalachian State stunning Michigan in the Big House, and that was just the appetizer. In all, 62 ranked teams lost to lower ranked or completely unranked squads in 2007, and teams ranked No. 2 in one of the three major polls lost seven times in the final nine weeks of the season.

Cuban Foreign Minister Bruno Rodriguez Parrilla calls State Secretary Marco Rubio a liar, accusing him of deceiving the American people about Cuba being a threat to the United States.

Cuba says U.S. fabricating pretext for conflict after report on drone purchase Cuba's Foreign Minister Bruno Rodriguez speaks during a news conference in Havana in October 2025. HAVANA - Cuban Foreign Minister Bruno Rodriguez accused the U.S. on Sunday of fabricating a fraudulent case to justify economic sanctions and potential military intervention. The minister's comments followed a report by Axios the same day citing classified intelligence, which said Cuba had acquired more than 300 military drones. Cuba neither threatens nor desires war, Rodriguez said in a post on social media, adding that the country prepares itself to confront external aggression in the exercise of the right to legitimate self-defense recognized by the U.N. Charter. In a time of both misinformation and too much information, quality journalism is more crucial than ever.

Standard sequential inference architectures are compromised by a normalizability crisis when confronted with extreme, structured outliers. By operating on unbounded parameter spaces, state-of-the-art estimators lack the intrinsic geometry required to appropriately sever anomalies, resulting in unbounded covariance inflation and mean divergence. This paper resolves this structural failure by analyzing the abstraction sequence of inference at the meta-prior level (S_2). We demonstrate that extremizing the action over an infinite-dimensional space requires a non-parametric field anchored by a pre-prior, as a uniform volume element mathematically does not exist. By utilizing strictly invariant Delta (or ν) Information Separations on the statistical manifold, we physically truncate the infinite tails of the spatial distribution. When evaluated as a Radon-Nikodym derivative against the base measure, the active parameter space compresses into a strictly finite, normalizable probability droplet. Empirical benchmarks across three domains--LiDAR maneuvering target tracking, high-frequency cryptocurrency order flow, and quantum state tomography--demonstrate that this bounded information geometry analytically truncates outliers, ensuring robust estimation without relying on infinite-tailed distributional assumptions.

Alsoas expected, smaller values (i.e. See Proposition 4 in Appendix B, whereweformallyprovethis specialcaseoflinearpredictors.

Plus: Instagram's CEO Adam Mosseri has denied claims that social media is "clinically addictive" AI is already making online crimes easier. It could get much worse. Just as software engineers are using artificial intelligence to help write code and check for bugs, hackers are using these tools to reduce the time and effort required to orchestrate an attack, lowering the barriers for less experienced attackers to try something out. Some in Silicon Valley warn that AI is on the brink of being able to carry out fully automated attacks. But most security researchers instead argue that we should be paying closer attention to the much more immediate risks posed by AI, which is already speeding up and increasing the volume of scams. Criminals are increasingly exploiting the latest deepfake technologies to impersonate people and swindle victims out of vast sums of money.

Though they have improved, robots hands are still far worse than a human's. Breakthroughs, discoveries, and DIY tips sent every weekday. If you want to guess the purpose of any given futuristic humanoid robot, look at its hands. Last week, a pair of videos released by Boston Dynamics and Figure AI provided clear examples that certain tasks simply require much more "human touch." In the first case, Hyundai-owned Boston Dynamics showed off a new pair of "grippers" for its trimmed-down Atlas factory robot.

But now judges are experimenting with generative AI too. Some are confident that with the right precautions, the technology can expedite legal research, summarize cases, draft routine orders, and overall help speed up the court system, which is badly backlogged in many parts of the US. This summer, though, we've already seen AI-generated mistakes go undetected and cited by judges. A federal judge in New Jersey had to reissue an order riddled with errors that may have come from AI, and a judge in Mississippi refused to explain why his order too contained mistakes that seemed like AI hallucinations. The results of these early-adopter experiments make two things clear.

At four o'clock on a recent Friday, Kevin McCullough found himself staring at a line of text on a poster in the Graham Avenue subway station, in Williamsburg. "Prompt: What comes first, the chicken or the egg?" The poster was an ad for the School of Visual Arts. Beneath the prompt was a crude painting--of an oval-shaped chick, or was it an egg with feet and a beak?--that seemed agnostic on the issue. Something of a literalist, he had always disliked the question, believing it unworthy of endless debate.

The strength of the human hand lies in its ability to manipulate small objects precisely and robustly. In contrast, simple robotic grippers have low dexterity and fail to handle small objects effectively. This is why many automation tasks remain unsolved by robots. This paper presents an optimization-based framework for in-hand manipulation with a robotic hand equipped with compact Magnetic Tactile Sensors (MTSs). The small form factor of the robotic hand from Shadow Robot introduces challenges in estimating the state of the object while satisfying contact constraints. To address this, we formulate a trajectory optimization problem using Nonlinear Programming (NLP) for finger movements while ensuring contact points to change along the geometry of the fingers. Using the optimized trajectory from the solver, we implement and test an open-loop controller for rolling motion. To further enhance robustness and accuracy, we introduce a force controller for the fingers and a state estimator for the object utilizing MTSs. The proposed framework is validated through comparative experiments, showing that incorporating the force control with compliance consideration improves the accuracy and robustness of the rolling motion. Rolling an object with the force controller is 30\% more likely to succeed than running an open-loop controller. The demonstration video is available at https://youtu.be/6J_muL_AyE8.