Research & Benchmarks - Page 2 of 43
Academic AI research, performance benchmarks, scientific breakthroughs, and peer-reviewed studies advancing artificial intelligence frontiers.
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Newest AI Quest Maps the Human Brain, Builds on Fruit Fly Brain Map
Google Research and the Stanford Accelerator for Learning released "Polar Peaks" on Tuesday, the third installment in their AI Quests series built for students ages 11 to 14.
iLands AI agents pitch WIRED for fact-checking, editor Vojdani says they spam
Jayden has a byline-less track record, two rejected pitches in the past week alone, and no idea it's been rejected. Jayden is also not human.
Stanford, UC Berkeley TokenGate Speeds Long-Context Prefill Up to 11.3x
Long-context inference has a math problem: attention cost scales quadratically with sequence length, so feeding a model 128,000 tokens means every layer grinds through all of them, whether they matter or not.
Anthropic co-founder Jack Clark moves self-improving AI prediction to 2027
Jack Clark has moved up his timeline. The Anthropic co-founder now says recursive self-improvement in AI systems, the point where models start building their own successors, could arrive by 2027. A year ago, he was pointing to 2028.
Microsoft's Agensh Multi-Agent Harness Scales to 1,024 AI Agents
Microsoft Research has put out Agensh, a harness for running large swarms of coding agents without a boss agent telling them what to do.
Kimi K3.1 Pro Rivals Claude Opus in Coding and Reasoning
Moonshot AI put a price tag on its new flagship model this week, and it's a fraction of what Anthropic or OpenAI charge for comparable performance.
Study: Fancy coding harnesses cost more but not better across 447 tasks
Two researchers at Shandong University ran 447 coding tasks through five language models and three agent harnesses, then checked whether the fancier tooling actually earned its keep. The answer, laid out in a paper titled "What does a harness buy?
Kyutai Trains 1.2B-Parameter Model on 76,000 Hours of Video
Kyutai put out CADRE this week, a set of video autoencoders built for world models that react to input in real time rather than just generate pretty clips.
OpenAI to stop training AI models on live internet over access risks
OpenAI will stop letting its models browse the live internet during training, the company said Friday, pointing to what it called "significant risks" in giving AI systems unsupervised access to the open web.
MIT's Martha Minow: AI threatens independent thinking in democracy
Martha Minow stood before an MIT audience Thursday and delivered a blunt diagnosis of American self-government, then turned to the technology she says is accelerating its decline.
TinyFish Moves Planning Into Orchestrator's Unified Reasoning Loop
A search agent that aces a demo can still fall apart in production the moment retrieval comes back incomplete, retries loop on the same failed action, or a task blows past its time and cost budget.
Agent4Sci testbed measures agents on 20 scientific ML benchmarks in 11 domains
A new benchmark called Agent4Sci puts frontier coding agents through 20 scientific machine learning tasks spanning 11 domains, testing a claim that's gotten louder as models like Claude Opus and Codex get folded into research pipelines: that these...
Shenfeld et al. compare SFT and SDFT on three tasks for continual learning
Shenfeld et al. posted their paper on self-distillation and continual learning in late January 2026. Nine months later, several dozen follow-up papers have piled in, some extending the idea, some picking at its weak spots.
Does Agentic RAG Retrieve Better Evidence? Test on 298 Questions
Agentic RAG promises something simple: let the AI decide when it needs to search again.
Researchers say AI agents learn skills by exploring without a goal
Thirteen AI agents spent 30 hours alone on a virtual desert island with no instructions and no score to chase. No one told them what to build, climb, or collect.
8 NVIDIA DGX Spark Nodes Scale Frontier-Class AI Models With ConnectX-7 RoCE
NVIDIA used GTC Berlin to confirm that DGX Spark, its desk-sized AI box introduced earlier this year, now officially scales to eight-node clusters.
96% of AI teams anticipate needing faster archive retrieval for inference workloads
Western Digital put a number on something most AI infrastructure teams haven't fully budgeted for yet.
Perplexity, NVIDIA Researchers Introduce JOLT Joint Teacher-Student RL Method
Researchers at Perplexity and NVIDIA built a reinforcement learning method that asks one model to grade its own homework, literally.
NVIDIA Cosmos Data Factory Blueprints Speed Physical World Model Training
NVIDIA is adding new tools to its Cosmos platform aimed at the unglamorous but necessary work behind physical AI: building and testing world models that let robots, cars and factory systems understand real environments before they act in them.
Shopify Gains 4.5x Speed Boost With NVIDIA AI Software
Shopify's engineers just cut their AI serving costs by 90 percent, and they did it by walking away from the biggest frontier models rather than chasing them.
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