[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-spiking-neural-model-predicts-collisions-without-frame-delay":10,"sections":34},{"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":29,"feedback":33,"feedback_at":22,"cost_usd":33,"total_tokens":33},6829,"spiking-neural-model-predicts-collisions-without-frame-delay","Spiking Neural Model Predicts Collisions Without Frame Delay","A spiking neural model processes camera events one by one, hitting near state-of-the-art collision prediction with far lower latency and energy use.","A research team has built a spiking neural network that reads raw camera events one at a time, skipping the frame-by-frame processing that slows down most vision systems.\n\nREACT, a fully spiking state-space model, processes each event as it arrives instead of grouping them into frames or time bins first. It relies on a new type of artificial neuron, called C-SiLIF, whose internal state updates based on the exact time gap between incoming events. Tested on gesture recognition and time-to-collision estimation, REACT hit a 9.59% relative error in collision prediction, within 0.15 percentage points of the best existing method, while responding in 4.6 milliseconds. At typical approach speeds, that latency window covers just 4 centimeters of vehicle movement, versus roughly 1 meter for the next-fastest learned method.\n\nFor anything moving fast, a robot dodging a ball, a car estimating time to impact, milliseconds translate directly into stopping distance. Shrinking that reaction gap from a meter of travel to four centimeters is the kind of unglamorous latency win that matters more than a flashy accuracy chart. The model's INT8 quantized version also cut estimated energy use from 18.5 to 2.8 millijoules per batch of events, a detail that matters for anything battery powered and constantly watching.\n\nIt will not replace conventional cameras in your phone, but for the narrow world of collision-avoidance sensors, being fast and cheap to run beats being marginally more accurate.","[\"spiking neural networks\",\"event cameras\",\"robotics\",\"ai\"]","2026-09-18T04:00:00.000Z","2026-09-18T18:33:07.936Z","2026-09-18T18:33:19.783Z","published",null,[],"ai",[26,27,28,24],"spiking neural networks","event cameras","robotics",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.19204",0,{"sections":35},[36,39,43,48,53,57,61,66,70,75,80,85,90,95],{"name":37,"slug":24,"count":38,"latest_published_at":18},"AI",4016,{"name":40,"slug":41,"count":42,"latest_published_at":18},"Security","security",653,{"name":44,"slug":45,"count":46,"latest_published_at":47},"Policy","policy",338,"2026-09-11T04:00:00.000Z",{"name":49,"slug":50,"count":51,"latest_published_at":52},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":54,"slug":55,"count":56,"latest_published_at":18},"Hardware","hardware",155,{"name":58,"slug":59,"count":60,"latest_published_at":18},"Science","science",121,{"name":62,"slug":63,"count":64,"latest_published_at":65},"Consumer Tech","consumer-tech",99,"2026-09-09T17:27:33.000Z",{"name":67,"slug":68,"count":69,"latest_published_at":18},"Dev Tools","dev-tools",77,{"name":71,"slug":72,"count":73,"latest_published_at":74},"Software","software",75,"2026-09-10T20:41:21.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":79},"Startups","startups",55,"2026-09-09T23:14:29.000Z",{"name":81,"slug":82,"count":83,"latest_published_at":84},"Gaming","gaming",43,"2026-09-10T12:18:06.000Z",{"name":86,"slug":87,"count":88,"latest_published_at":89},"General","general",41,"2026-09-08T01:57:23.000Z",{"name":91,"slug":92,"count":93,"latest_published_at":94},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":96,"slug":97,"count":98,"latest_published_at":99},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]