Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...
Learning robust linguistic representations from text has long been a central challenge in natural language processing and language sciences. NLP systems ...
San Francisco-based AI lab Arcee made waves last year for being one of the only U.S. companies to train large language models (LLMs) from scratch and release them under open or partially open source ...
Software developers have spent the past two years watching AI coding tools evolve from advanced autocomplete into something ...
Hackathons using AlphaGenome and other AI models are hunting down the genetic causes of devastating conditions that have ...
Google DeepMind has released D4RT, a unified AI model for 4D scene reconstruction that runs 18 to 300 times faster than ...
Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.
New “AI GYM for Science” dramatically boosts the biological and chemical intelligence of any causal or frontier LLM, ...
Abstract: Background: Accurate identification of bone metastases in lung cancer is essential for effective diagnosis and treatment. However, existing methods for detecting bone metastases face ...
The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
Chinese outfit Zhipu AI claims it trained a new model entirely using Huawei hardware, and that it’s the first company to ...
For the past few years, a single axiom has ruled the generative AI industry: if you want to build a state-of-the-art model, you need Nvidia GPUs. Specifically, thousands of H100s. That axiom just got ...
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