Xiaomi AI and LLMs: Every model, every feature, everything you need to know

Xiaomi has always been known for affordable smartphones and smart home gadgets. But over the last year and a half, the ...

Microsoft’s open-source SkillOpt automatically upgrades AI agent skills without touching model weights

Microsoft's SkillOpt brings deep-learning discipline to AI agent skills, replacing manual prompt tweaking with mathematically ...
Hackaday

Why Model Collapse In LLMs Is Inevitable With Self-Learning

There is a persistent belief in the ‘AI’ community that large language models (LLMs) have the ability to learn and self-improve by tweaking the weights in their vector space. Although there’s scant ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Google open-sources speedy DiffusionGemma text diffusion model

Google says that DiffusionGemma can generate more than 1,000 tokens per second when running on a single H100, a server-grade ...
Science Daily

AI could uncover new physics faster but there’s a surprising catch

Scientists found that transfer learning can make the search for new physics in the universe much faster, slashing the need ...
News Medical

COMET model enhances disease prediction with deep learning

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...
Johns Hopkins Medicine

Machine Learning Model Improves Accuracy of Liquid Biopsy Results

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...

Machine Learning Model Accurately Predicts Long-Term Risk of Type 2 Diabetes

A novel electronic health record-based prediction model successfully identified patients who were at the highest risk of developing type 2 diabetes up to 10 years later. Researchers presented the ...