NFL Week 2 Sunday takeaways: Packers are Jekyll and Hyde, Bengals have a defense, Chargers' season is over Cowboys' Cobie Durant gets stepped on in worst place possible during win over Commanders Browns' Deshaun Watson may have silenced doubters after outlasting Baker Mayfield and 2-hour weather delay Bengals' Ja'Marr Chase scores jaw-dropping first touchdown of the season after lackluster Week 1 start Mississippi gov trolls Lane Kiffin, LSU after Ole Miss defeats Tigers in coach's return to Oxford Abigail Spanberger slammed after admin ends women's sports protection proposal Trump pushes'AI Force' proposal as regulation debate grows Trump-Xi mini summit will require some'finesse': Brian Kilmeade China wants to dominate the future and will'cripple' the US to do so, expert says The'summer of the DSA' presented the Republicans with a life jacket: Hugh Hewitt Congress is moving in the'right direction' on AI: Sen Mike Rounds OutKick Sports Falcons' Drake London shouts at fan amid team's blowout loss to Panthers Atlanta Falcons star Drake London didn't want to hear anything from anyone as they were getting blown out by the Carolina Panthers on Sunday. The FOX broadcast caught London yelling back at a fan who was apparently shouting at him in the third quarter as the Falcons trailed 34-3. The wide receiver had some team personnel around him as he pointed at the fan and yelled back at him. Drake London #5 of the Atlanta Falcons leaves the field after his team's 34-3 loss to the Carolina Panthers at Mercedes-Benz Stadium on Sept. 20, 2026, in Atlanta, Ga. It appeared London was shouting expletives.

Mike Vrabel snaps at reporter over Drake Maye's struggles after Pats win: 'you're not going to ruin my Sunday' Fat Bear Week bracket is set: meet the heavyweights, underdogs and defending champ in this year's tournament Riley Green drops 19-track album'That's Just Me' and country music fans can't get enough Attorney reveals Lane Kiffin used ChatGPT for legal advice during LSU's failed bid to add pro players Baker Mayfield loses bet to coach Todd Bowles, has'rough couple of days' including at press conference Falcons star Kyle Pitts Sr predicts CFB players will unionize, says pro players returning to school is'crazy' New trailer for'Other Mommy' with Jessica Chastain reveals a sinister entity terrorizing a young girl'God has been so good to me': Ella Langley reacts to incredible nine CMA Awards nominations'How can you fight during a love song?' Riley Green defuses crowd fight at New Mexico show Netflix drops full trailer for Ben Affleck's'Animals' and expectations are already soaring Dan Lanning spars with reporter after Dante Moore misses media following Oregon's loss to Oklahoma State Best hikes to try around Lubbock ahead of Texas Tech's week one matchup with Abilene Christian Elon Musk's mom uses Grok 10x times a day. "Why Does The NCAA Even Exist?" Craig Carton TORCHES Its Pathetic Michigan Hail Mary Statement | The Craig Carton Show OutKick Atlanta Falcons are dealing with the worst quarterback situation in the NFL and it isn't even close Falcons' QB Cooper Rush and Head Coach Kevin Stefanski address the media following Atlanta's Week 1 loss to the Pittsburgh Steelers. And it isn't very close at all. The Falcons on Sunday started third-stringer Cooper Rush for the second time this season while Michael Penix Jr. and Tua Tagovailoa were designated as inactive due to ongoing health issues. This page may contain affiliate links to legal sports betting partners.

NBA star Kyrie Irving jumps into NFL drama, offers to pay player's fine for Gaza-themed eye black NFL's highest-paid TE George Kittle reveals favorite purchase: A 50-foot flagpole for a massive American flag Bill Belichick would like you to know that his 25-year-old girlfriend isn't running things at UNC Bijan Robinson believes Texas' comeback over Ohio State can change entire season trajectory Barstool chief Dave Portnoy blasts Macklemore's shady past, strongly supports Patriots owner Robert Kraft Lane Kiffin's return to Ole Miss comes with betrayal, lawsuits and memories of him trying to burn it all down Paige Spiranac and her'cans' go to bat for Sydney Sweeney, Ole Miss-LSU gets nasty & UF alumni speak out Falcons star Bijan Robinson wants every NFL team to play indoors one day: 'That would be sick' GOP congressman presses WNBA to define'women' after Enes Kanter Freedom, Royce White ruled ineligible Lane Kiffin's daughter disgusted by'vulgar' bed sheet banners accusing her of having sex with a player Charles Payne: People need to be careful about this'sudden epiphany' on AI'Money and power' is behind AI doomerism, expert says If anyone can defy'political gravity' it's Trump and his team: Kellyanne Conway War Department official lays out plan to rebuild munitions stockpile: 'Ahead of this problem' Brian Kilmeade: Taxing billionaires is not a program, it's a slogan that doesn't work Caitlyn Jenner argues California is'one big scam' as homeless fraud scandal rocks Golden State The industry is telling us'we want regulation': Rep. Sam Liccardo The industry is telling us'we want regulation': Rep. Sam Liccardo Kellyanne Conway: Vance is'correct' to say this Hasan Piker claims US is'pound for pound' worse than Al Qaeda Hasan Piker claims US is'pound for pound' worse than Al Qaeda Caitlyn Jenner argues California is'one big scam' as homeless fraud scandal rocks Golden State OutKick Human vs. ChatGPT NFL Week 2 betting picks: AI looks to rebound after disastrous 0-5 debut Are the Titans actually that bad? Last week, I kicked off a season-long experiment in which I go head-to-head with ChatGPT on NFL bets. I also openly predicted that artificial intelligence would wipe the floor with me. It's important to be nice to our future overlords and pray that they show mercy. Apparently, ChatGPT felt sorry for me because it proceeded to go 0-5.

CC Sabathia says Yankees could do a better job helping young players handle the pinstripes: 'Different beast' Florida State fans pining for Jimbo Fisher's return are living in the past, not in reality Roman Reigns survives Penta's World Heavyweight Championship challenge, LA Knight makes a statement of his own Introducing OutKick's first original animated series, 'Sports Talk with Cal McCallister' WWE star Roxanne Perez reminds fans to respect wrestlers' boundaries while on the road: 'We are just humans' Pastor on Erika Kirk forgiving her husband's assassin: 'She modeled something beautiful' Ryan Serhant predicts the next US real estate EPICENTER is'dead center' in America #shorts Democrats believe they can use AI dispute for'more political power,' expert says AG Todd Blanche defends Trump's criticism of Supreme Court mail ballot ruling AG Todd Blanche defends Trump's criticism of Supreme Court mail ballot ruling Sen Rand Paul accuses Dems of bribing voters, calls out'terrible' welfare system There's a lot of good in the Protect College Sports Act, says Baseball Hall of Famer AI companies have been saying this'very consistently,' Axios co-founder Colin Kaepernick claims stalled NFL career was'political' move by organization Former 49ers player Colin Kaepernick said that NFL teams refusing to hire him after his protest was a political move by the organization on The View. Colin Kaepernick claims he wakes up every morning and still trains as if he were in the NFL. He reiterated to Jemele Hill at the Black Footwear Forum on Saturday in Detroit, Michigan, that he still believes he can play in the league and is waiting for that opportunity. Unfortunately, despite our attendance, OutKick could not ask him about his position because he and Hill chose not to take questions from the crowd. Hill, of course, did not challenge Kaepernick on his statement.

LIV Golf Team Championships in Michigan'highly likely' to be canceled: we're'disappointed' Lynx star Kayla McBride becomes latest to speak out on WNBA 3-point contest drama: 'Half a-- invite' Arch Manning isn't backing down from expectations, and neither is Steve Sarkisian, as CFP semis aren't enough USA Today writer invokes Emmett Till, says Caitlin Clark puts Black and queer players'in danger' by flopping Smokin' Hot Charley Hull suffers a brutal quadruple bogey, USA Today gasbags & Angel Reese is back at it! First overall pick Fernando Mendoza signs guaranteed deal with Raiders, who seem to be an'arrow up' NFL club White House defends WNBA star Sophie Cunningham after she speaks out in support of protecting women's sports NHL's top American-born scorer Patrick Kane signs deal to return to Chicago Blackhawks Florida coach Jon Sumrall's cell phone comments cause fans and media members to lose their minds, he responds Shane Bieber's strong Rays splits make Toronto Blue Jays the smart first 5 innings MLB bet Maria Sharapova attacks the dog days of summer by hopping into the pool, it pays to be OSU's QB & Shatner Ukrainian drone strikes knock 40% of Russia's oil refining capacity offline A'bigger than ever' attack on Iran could be coming: Report Gordon Chang warns of China's'people's war' against the US Linda McMahon says we shouldn't be afraid of AI Stephen A Smith is only looking out for Stephen A Smith, not Ryan Clark | Don't @ Me w/Dan Dakich Dan Dakich reacts to Stephen A Smith's message about Ryan Clark being laid off by ESPN Welcome to our 32-team 2026 NFL Season Preview Series! As we count down to kickoff, we're breaking down every franchise division-by-division. Today, we're spotlighting the Atlanta Falcons in the NFC South. Each preview analyzes the team's offseason moves, coaching staff, projected strengths and weaknesses, schedule, win total and best futures bet. Atlanta missed the playoffs in 2025-26 for an eighth consecutive season and fired now-former head coach Raheem Morris afterward.

Large language models have been widely applied, but can inadvertently encode sensitive or harmful information, raising significant safety concerns. Machine unlearning has emerged to alleviate this concern; however, existing training-time unlearning approaches, relying on coarse-grained loss combinations, have limitations in precisely separating knowledge and balancing removal effectiveness with model utility. In contrast, we propose Fine-grained Activation manipuLation by Contrastive Orthogonal uNalignment (FALCON), a novel representation-guided unlearning approach that leverages information-theoretic guidance for efficient parameter selection, employs contrastive mechanisms to enhance representation separation, and projects conflict gradients onto orthogonal subspaces to resolve conflicts between forgetting and retention objectives. Extensive experiments demonstrate that FALCON achieves superior unlearning effectiveness while maintaining model utility, exhibiting robust resistance against knowledge recovery attempts.

Large language models have been widely applied, but can inadvertently encode sensitive or harmful information, raising significant safety concerns. Machine unlearning has emerged to alleviate this concern; however, existing training-time unlearning approaches, relying on coarse-grained loss combinations, have limitations in precisely separating knowledge and balancing removal effectiveness with model utility. In contrast, we propose $\textbf{F}$ine-grained $\textbf{A}$ctivation manipu$\textbf{L}$ation by $\textbf{C}$ontrastive $\textbf{O}$rthogonal u$\textbf{N}$alignment (FALCON), a novel representation-guided unlearning approach that leverages information-theoretic guidance for efficient parameter selection, employs contrastive mechanisms to enhance representation separation, and projects conflict gradients onto orthogonal subspaces to resolve conflicts between forgetting and retention objectives. Extensive experiments demonstrate that FALCON achieves superior unlearning effectiveness while maintaining model utility, exhibiting robust resistance against knowledge recovery attempts.

Designing analog circuits from performance specifications is a complex, multi-stage process encompassing topology selection, parameter inference, and layout feasibility. We introduce FALCON, a unified machine learning framework that enables fully automated, specification-driven analog circuit synthesis through topology selection and layout-constrained optimization. Given a target performance, FALCON first selects an appropriate circuit topology using a performance-driven classifier guided by human design heuristics. Next, it employs a custom, edge-centric graph neural network trained to map circuit topology and parameters to performance, enabling gradient-based parameter inference through the learned forward model. This inference is guided by a differentiable layout cost, derived from analytical equations capturing parasitic and frequency-dependent effects, and constrained by design rules. We train and evaluate FALCON on a large-scale custom dataset of 1M analog mm-wave circuits, generated and simulated using Cadence Spectre across 20 expert-designed topologies. Through this evaluation, FALCON demonstrates >99\% accuracy in topology inference, <10\% relative error in performance prediction, and efficient layout-aware design that completes in under 1 second per instance.

However, progress is limited by a lack of standardized datasets and comparison metrics, causing methods to be compared in an ad hoc manner.

IntheHE-based MLaaSsetting,aclientencrypts thesensitive data, and uploads the encrypted data to the server that directly processes the encrypted data without decryption, and returns the encrypted result to the client. The client'S data privacy is preserved since only the client has the private key. Existing HE-enabled Neural Networks (HENNs), however, suffer from heavy computational overheads.