Articles about AI Research in Technology & AI
Ever wonder if plants can sense the world around them? A wild new study from MIT shows that rice seeds can actually "hear" the sound of rain, prompting them to sprout faster.
For decades, we've been hunting for one specific type of dark matter. Now, that search has hit a wall, forcing scientists to get creative and explore some truly wild new ideas. Here’s why the hunt for the universe’s biggest mystery just got a lot more exciting.
A small Miami startup called Subquadratic is making some wild claims about a new AI model that's faster, cheaper, and more powerful than anything from Google or OpenAI. Is it the biggest breakthrough since the transformer, or just hype?
Anthropic quietly changed a policy that would have secretly limited its AI, Claude, when used for research on competing models. Here’s the story of why researchers were outraged and why the company quickly backtracked.
Researchers at Sakana AI have developed DiffusionBlocks, a groundbreaking method that trains massive neural networks one block at a time. This clever approach slashes memory requirements and could change how we build the next generation of AI.
Large language models get stuck in the past, and updating them is a nightmare. A new framework called MEMO offers a clever solution: a separate, dedicated "memory" model that teaches old LLMs new tricks without the cost or chaos.
NVIDIA just dropped Gated DeltaNet-2, a new AI architecture that fixes a major bottleneck in how models remember information. Instead of one control for forgetting and learning, it has two—and the results are pretty impressive.
Researchers have found the exact neurons that make LLMs refuse harmful requests. A new method called CNA can turn them off like a light switch, without damaging the model's performance.
AI agents need your data to be useful, but that's a privacy nightmare. Discover MemPrivacy, a new on-device framework that cleverly protects your info without making your AI assistant useless.
Training AI on long sequences is painfully slow due to attention costs. Nous Research's Lighthouse Attention offers a clever, training-only solution that speeds things up by 1.7x without sacrificing quality.
Ever get survey results that just feel... off? They probably are. We'll walk you through a hands-on guide to spotting and fixing survey bias using Python and Facebook's 'balance' library, turning your skewed data into trustworthy insights.
If you've ever watched a progress bar crawl during AI training, you know the pain. NVIDIA researchers have tackled the single biggest bottleneck with a clever technique that offers a huge speedup without sacrificing quality.