[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-a-faster-path-to-uncertainty-in-neural-networks":10,"sections":35},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":30,"feedback":34,"feedback_at":22,"cost_usd":34,"total_tokens":34},4118,"a-faster-path-to-uncertainty-in-neural-networks","A Faster Path to Uncertainty in Neural Networks","Researchers show that running HMC only on a network's final layer cuts compute costs while keeping uncertainty estimates competitive.","A new paper proposes running a gold-standard uncertainty method on just the last layer of a neural network — and getting most of the benefit at a fraction of the cost.\n\nHamiltonian Monte Carlo has long been the benchmark for measuring how confident a neural network should be in its predictions. The catch: it's expensive. Running it across an entire large model is computationally prohibitive, which is why it rarely shows up outside of small research settings. The new approach, called Last Layer HMC (LL-HMC), sidesteps that by restricting the sampling to only the final layer of a deep neural network. The authors tested it against five competing probabilistic methods on three real-world video datasets focused on driver behavior.\n\nThe results are pragmatic rather than spectacular. LL-HMC matched rivals on in-distribution classification and out-of-distribution detection — the two things that matter most when you need a model to know what it doesn't know. Adding more samples improved OOD detection but didn't help classification, and running multiple chains produced no consistent gains.\n\nFor teams building safety-critical systems — autonomous driving being the obvious example given the datasets used — this is a useful trade-off: reasonable uncertainty estimates without the compute bill that full HMC demands. It won't replace full Bayesian inference where resources allow, but it gives practitioners a more deployable middle ground than most alternatives currently offer.","[\"machine learning\",\"uncertainty estimation\",\"bayesian methods\",\"autonomous driving\"]","2026-07-07T04:00:00.000Z","2026-07-07T17:39:27.517Z","2026-07-07T17:39:31.110Z","published",null,[],"ai",[26,27,28,29],"machine learning","uncertainty estimation","bayesian methods","autonomous driving",[31],{"name":32,"url":33},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2507.08905",0,{"sections":36},[37,41,46,51,56,61,66,71,76,80,85,89,94,99],{"name":38,"slug":24,"count":39,"latest_published_at":40},"AI",2590,"2026-07-16T04:00:00.000Z",{"name":42,"slug":43,"count":44,"latest_published_at":45},"Security","security",294,"2026-07-15T19:59:48.000Z",{"name":47,"slug":48,"count":49,"latest_published_at":50},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":52,"slug":53,"count":54,"latest_published_at":55},"Policy","policy",158,"2026-07-16T00:02:48.000Z",{"name":57,"slug":58,"count":59,"latest_published_at":60},"Hardware","hardware",122,"2026-07-14T19:46:26.000Z",{"name":62,"slug":63,"count":64,"latest_published_at":65},"Consumer Tech","consumer-tech",93,"2026-07-13T13:20:48.000Z",{"name":67,"slug":68,"count":69,"latest_published_at":70},"Software","software",70,"2026-07-13T19:52:25.000Z",{"name":72,"slug":73,"count":74,"latest_published_at":75},"Science","science",66,"2026-07-10T10:29:37.000Z",{"name":77,"slug":78,"count":79,"latest_published_at":18},"Dev Tools","dev-tools",59,{"name":81,"slug":82,"count":83,"latest_published_at":84},"Gaming","gaming",41,"2026-07-09T04:00:00.000Z",{"name":86,"slug":87,"count":83,"latest_published_at":88},"Startups","startups","2026-06-29T20:55:50.000Z",{"name":90,"slug":91,"count":92,"latest_published_at":93},"General","general",29,"2026-07-10T22:28:58.000Z",{"name":95,"slug":96,"count":97,"latest_published_at":98},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":100,"slug":101,"count":102,"latest_published_at":103},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]