Articles about AI Research in Technology & AI
A new AI startup called Axiom just did something incredible: its AI found solutions to four long-standing math problems that have stumped humans for years. This isn't just about faster calculations; it's a huge leap in AI's reasoning abilities.
OpenAI is making a huge play for science, and chatbots are suddenly asking for your ID. Let's break down what's really going on in the world of AI and technology this week.
A new AI model from Nous Research, NousCoder-14B, is showing impressive results on olympiad-level coding challenges. Let's break down how it uses reinforcement learning to think like a competitive programmer.
AI agents often struggle with memory, forgetting key details or getting lost in context. New research from Alibaba and Wuhan University introduces AgeMem, a framework that teaches LLMs to manage their own memory.
OpenAI is asking freelance contractors to upload projects from their past jobs. It's a bold strategy to teach AI how to handle real office work, but it comes with a major catch you need to know about.
Forget human training. A new kind of AI is learning by getting curious and asking its own questions. This could be a massive leap forward, but what does it really mean for us?
Ever wonder why training massive AI models can be so difficult? DeepSeek AI found a major source of instability and fixed it by dusting off a clever matrix normalization algorithm from 1967. Here's how it works.
We've all hit the context window limit with LLMs. A new approach called Recursive Language Models (RLMs) flips the script, treating massive prompts not as a wall of text to read, but as an environment to explore with code. Here’s how it works and why it’s a huge deal.
Liquid AI just dropped an experimental model, LFM2-2.6B-Exp, that uses pure reinforcement learning to boost its skills. It's a tiny 2.6B model that's now punching way above its weight class, even outperforming models hundreds of times its size.
NVIDIA's AI research team just dropped something wild: NitroGen, a foundation model that learns to play video games by watching 40,000 hours of gameplay videos from the internet. Here's how it works and why it's a big deal.
Ever seen a demo of an AI agent that can do anything, only for it to fall apart when you try it? A new paper from Stanford and Harvard finally explains why this happens and lays out a clear path to building AI that actually works.
Ever wonder how AI could understand the world like we do? Meta's new PE-AV model is a huge step forward, learning to connect sights, sounds, and text in a single, unified brain. Let's break down how it works and why it's a big deal for the future of AI.