#Machine Learning

Why Google’s AI can’t spell Google (or anything else)

Learn how to work with Google's AI platform and understand why even advanced AI systems can make embarrassing spelling errors like Google's AI failing to spell 'Google' correctly.

MEMO: A Modular Framework for Training a Dedicated Memory Model on New Knowledge Without Modifying LLM Parameters

Researchers from NUS, MIT, and A*STAR introduce MEMO, a modular framework that enables LLMs to learn new knowledge without modifying core parameters.

The Man Behind AlphaGo Thinks AI Is Taking the Wrong Path

David Silver, creator of AlphaGo, has launched a new company aiming to build AI 'superlearners' that can learn more efficiently like humans do.

Google Introduces Simula: A Reasoning-First Framework for Generating Controllable, Scalable Synthetic Datasets Across Specialized AI Domains

Learn how Google's Simula framework creates synthetic datasets to help AI models learn in specialized fields like cybersecurity, law, and medicine, where real data is scarce.

Databricks co-founder wins prestigious ACM award, says ‘AGI is here already’

Databricks co-founder Matei Zaharia wins the ACM A.M. Turing Award and claims AGI is already here, challenging common perceptions about artificial intelligence's development.

OpenAI's chief scientist trusts AI with experiments but says it's not at the level to design complex systems

OpenAI's Chief Scientist Jakub Pachocki uses AI to automate experiments but remains cautious about delegating complex system design to the technology.

Yann LeCun just raised $1bn to prove the AI industry has got it wrong

Yann LeCun has raised $1.03 billion to challenge the AI industry's reliance on large language models, launching AMI Labs with a new vision for machine learning.

Talk like a graph: Encoding graphs for large language models

HEAL: A framework for health equity assessment of machine learning performance

Andrej Karpathy says programming is "unrecognizable" now that AI agents actually work

This article explains what AI agents are, how they work, and why their rise is changing the landscape of programming. It also explores the limitations of current AI training methods like RLHF.