Overview Most data science work benefits more from stable RAM and CPUs than from GPUs.The best laptops for data science ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

Gmail’s most controversial new trick is not a flashy AI assistant or a redesigned inbox, it is a quiet default that lets the ...

Despite the unique ideological and political advantages of the “Aircraft Power Supply System” course, there are still some deep-seated problems that urgently need to be solved in the current teaching ...

"The large language models (LLMs) that currently underpin artificial intelligence (AI) may appear impressive, but at their ...

Ruyi Ding (Northeastern University), Tong Zhou (Northeastern University), Lili Su (Northeastern University), Aidong Adam Ding (Northeastern University), Xiaolin Xu (Northeastern University), Yunsi Fei ...

AI data trainer roles have moved from obscure contractor gigs to a visible career path with clear pay bands and defined ...

As costs of developing AI and the limited amount of available hardware, DeepSeek has presented a new plan for developing and ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...

A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...

Jaewon Hur (Seoul National University), Juheon Yi (Nokia Bell Labs, Cambridge, UK), Cheolwoo Myung (Seoul National University), Sangyun Kim (Seoul National University), Youngki Lee (Seoul National ...