Machine Learning Research
A Research Agent for All Biology: Biomni, an AI agent for multidisciplinary biology research
An agent designed for broad biological research could accelerate the work of scientists in specialties from anatomy to zoology.
Machine Learning Research
Machine Learning Research
Apple Sharpens Its GenAI Profile: Apple updates its on-device and cloud AI models, introduces a new developer API
Apple revamped two vision-language models in a bid to catch up with fast-moving competitors.
Machine Learning Research
LLM Rights Historical Wrongs: Stanford and Princeton researchers fine-tune a language model to identify racial discrimination in property
In Northern California, old property deeds may still include racial clauses: language, made illegal decades ago, that was designed to ban people of color from owning or living in certain homes.
Machine Learning Research
More Reasoning for Harder Problems: OpenAI debuts o3-pro, an updated reasoning model that applies more tokens at inference
OpenAI launched o3-pro, a more capable version of its most advanced reasoning vision-language model.
Machine Learning Research
Better Video, Fewer Tokens: STORM Processes Fewer Tokens And Still Beats GPT-4o On Video Understanding Benchmarks
Researchers reduced the number of tokens needed to represent video frames to be fed to a transformer.
Machine Learning Research
More Consistent Characters and Styles: Black Forest Labs Launches FLUX.1 Kontext for Generating and Alterating Images with Consistent Details
Same character, new background, new action. That’s the focus of the latest text-to-image models from Germany’s Black Forest Labs.
Machine Learning Research
Phishing for Agents: Columbia University researchers show how to trick trusting AI agents with poisoned links
Researchers identified a simple way to mislead autonomous agents based on large language models.
Machine Learning Research
Next-Level DeepSeek-R1: DeepSeek-R1’s update leads all open models and brings it up to date with the latest from Google and OpenAI
DeepSeek updated its groundbreaking DeepSeek-R1 large language model to strike another blow for open-weights performance.
Machine Learning Research
How DeepSeek Did It: Researchers describe training methods and hardware choices for DeepSeek’s V3 and R1 models
DeepSeek made headlines late last year, when it built a state-of-the-art, open-weights large language model at a cost far lower than usual. The upstart developer shared new details about its method.
Business
Google I/O Overdrive: Google’s new AI offerings include Veo 3 video generator, lightweight Gemma 3n, updates to Gemini Pro and Ultra, and more
Google revamped its roster of models, closed and open, and added more AI-powered features to its existing products.
Machine Learning Research
Claude 4 Advances Code Generation: Anthropic debuts new Claude 4 Sonnet and Claude 4 Opus models, featuring top benchmarks in coding
Anthropic continued its tradition of building AI models that raise the bar in coding tasks.
Machine Learning Research
4-Bit Efficiency, 16-Bit Accuracy: Microsoft researchers show that heavily quantized versions of Llama can perform as well as near-full-precision
Using an 8-bit number format like FP8 during training saves computation compared to 16- or 32-bit formats, but it can yield less-accurate results. Researchers trained models using 4-bit numbers without sacrificing accuracy.