Visual Language Model Helps Robots Recognize Human Emotions
A new visual language model enables robots to interpret human emotional cues, improving collaboration potential.
ARTICLES BY MAYA CHEN
LATEST NEWS
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Microsoft's SkillOpt Boosts GPT-5.5 With Markdown File
Microsoft's SkillOpt improves GPT-5.5 by over 20 points on procedural tasks using a trained Markdown file, according to a new paper.
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Google's Gemini-SQL2 Leads Text-to-SQL Benchmarks
Google Research's Gemini-SQL2 achieved 80.04% execution accuracy on the BIRD benchmark, outperforming competitors like GPT-5.5-xhigh and Claude Opus 4.6.
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ServiceNow-AI Tests ASR Models on Code-Switching
ServiceNow-AI benchmarked seven ASR systems on code-switched speech, finding ElevenLabs Scribe V2 and AssemblyAI Universal 3-Pro performed best in Spanish-English and French-English pairs.
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HuggingFace Releases PhysicsIntern as Research Sidekick
HuggingFace's PhysicsIntern improved performance on CritPt benchmark, raising Kimi K2.6 to 21.4% and Gemini 3.1 Pro to 31.4%.
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AMD Introduces LoKRA for Enhanced AI Model Adaptation
AMD's LoKRA improves parameter efficiency in AI training by using Kruskal rank, outperforming LoRA by 2.4%-5.0% across multiple models.
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Isomorphic Labs' AI Engine Predicts Hidden Drug Targets
Isomorphic Labs' AI engine can predict hidden binding sites on proteins, potentially speeding up drug discovery by identifying previously unseen targets.
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Anthropic Study Shows AI Can Build Exploits in Hours, Not Weeks
Anthropic's study reveals large language models can create exploits from security patches in hours, not weeks, with Mythos Preview achieving results in under six hours.
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OpenAI's Codex Aids Black Hole Simulations
Astrophysicist Chi-kwan Chan uses Codex to refine algorithms for simulating black hole plasma, improving computational efficiency in extreme physics research.
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Writer's Research Shows Memory Tools Can Harm AI Accuracy
Research from Writer reveals that memory systems can degrade AI model performance by increasing the likelihood of incorrect answers, with models becoming more sycophantic as user preferences fill their context window.
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Timing Trick Cuts LLM Training Energy Use by 14 Percent
A new energy-saving method for large language model training can reduce power consumption by up to 14 percent, according to IEEE Spectrum.
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Cohere Examines Evidence Gaps in AI Workforce Impact Estimates
A 2023 study claiming 80% of U.S. workers face AI exposure has influenced global policy discussions, yet its limitations are growing as AI evolves.