#Machine Learning

10 posts tagged with "Machine Learning"

Biology's Secret Weapon: Physics-Based Benchmarks for Training RL Agents

2025-12-03•16 min read

#reinforcement learning #biological benchmarks #protein design #rna design #computational biology #machine learning #alphafold #drug discovery

Why biological systems offer the ideal training ground for reinforcement learning: automated verification through physics, not human judgment. From protein design with AlphaFold to RNA folding with ViennaRNA, biology provides the verifiable inverse problems that RL needs at scale.

The Dark Matter of Biology: What Machine Learning Reveals About the Invisible Proteome

2025-12-02•20 min read

#machine learning #computational biology #protein structure #rna #alphafold #intrinsic disorder

Machine learning is illuminating biology's hidden half: intrinsically disordered proteins and RNA structures that traditional methods could never capture. But can we trust what we're seeing?

What Are World Models? The AI Architecture That Learns to Dream

2025-11-13•22 min read

#ai #machine learning #reinforcement learning #world models #robotics #autonomous vehicles

World models enable AI agents to imagine futures and plan actions, achieving 10-100x better sample efficiency than traditional reinforcement learning. From DreamerV3 collecting diamonds in Minecraft to foundation models like Sora and Genie, world models represent AI's shift from pattern matching to simulating reality itself.

The Complexity Cliff: Why Reasoning Models Work Right Up Until They Don't

2025-11-05T21:59:08Z•7 min read

#ai #machine learning #research #llms #reasoning

New research reveals a disturbing truth: reasoning models maintain high performance until they hit a complexity threshold, then collapse entirely. They don't degrade gracefully - they fall off a cliff.

How an AI System Independently Discovered a New Bacterial Survival Strategy (And Got It Right)

2024-11-05T09:29:56Z•12 min read

#ai #biology #research #machine learning #bacteria #gene transfer #deepmind

An AI system at Google DeepMind discovered how bacteria share genes across species barriers using 7 days of computational reasoning. When tested, it matched unpublished experimental observations exactly.

Foundation Models Are Rewriting the Rules of Biology

2024-10-30T11:35:02Z•24 min read

#ai #machine learning #biology #bioinformatics #foundation models #alphafold #drug discovery #dark matter biology #rna #benchmarks #metagenomics

Foundation models trained on biological data are transforming protein structure prediction, genomics, drug discovery, and pathology. Learn how machine learning benchmarks in 2024 are revealing biology's dark matter through RNA analysis and metagenomic discovery.

DeepAgent: Teaching AI Agents to Remember and Learn

2024-10-28T17:58:48Z•15 min read

#ai #machine learning #ai agents #reinforcement learning #memory systems

DeepAgent bridges the gap between research and production AI agents with autonomous memory folding and reinforcement learning that scales from tens to thousands of tools.

How Transformers Reprogram Themselves: Understanding In-Context Learning

2024-10-28T14:44:32Z•11 min read

#ai #machine learning #transformers #in-context learning #deep learning

When you provide GPT-4 with examples, it adapts without training. This post reveals the mechanism: ghost fine-tuning through implicit weight updates.

The Embedding Dilemma: Why Your RAG Fails and How to Think in Chunks

2024-10-24T10:56:28+01:00•7 min read

#ai #rag #embeddings #vector databases #machine learning #nlp

Discover why monolithic embeddings fail for RAG systems and learn how chunking strategies can transform your retrieval performance.

Beyond the Page: The Rise of Graph-Structured Knowledge in Language Models

2024-10-15T13:36:43+01:00•34 min read

#ai #machine learning #nlp #knowledge graphs #graph neural networks

How graph-based representations are transforming language models beyond sequential text to unlock deeper reasoning capabilities