Papers

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AlphaEvolve: AI-Powered Mathematical Discovery at Scale

Google DeepMind's AlphaEvolve is moving the bar yet again in how artificial intelligence tackles mathematical discovery. Published (preprint) in November 2025 by researchers Bogdan Georgiev, e t al at...

AI AlphaProof automated reasoning combinatorics DeepMind evolutionary computation FunSearch large language models machine learning mathematical discovery mathematics optimization Terence Tao

Nov 7, 2025

0 1166

Papers

AI-Assisted Discovery of Small-Molecule TREM2 Agonists That Activate Microglia

A new bioRxiv preprint from Weill Cornell Medicine and collaborators reports a structure-guided, AI-assisted campaign to discover and optimize small-molecule agonists of Triggering Receptor Expressed ...

ADME/PK Alzheimer's disease Deep Docking Drug discovery Microglia TREM2

Nov 4, 2025

0 704

Papers

Astrocytes as Memory Powerhouses: Rethinking How the Brain Stores Information

For decades, neuroscientists have believed that memories reside primarily in the connections between neurons specifically in the synaptic weights that determine how strongly one neuron influences anot...

artificial intelligence astrocytes brain research computational neuroscience dense associative memory glial cells memory neuroscience synaptic plasticity transformers

Nov 4, 2025

0 297

Papers

Deep Learning Resurrects Ancient Antibiotics: Mining Extinct Proteomes for Modern Medicine

In a groundbreaking fusion of paleobiology and artificial intelligence, researchers from the University of Pennsylvania have pioneered a revolutionary approach to combat the escalating global antibiot...

antibiotic discovery antimicrobial resistance artificial intelligence computational biology deep learning drug discovery extinct organisms machine learning molecular de-extinction paleogenomics

Nov 4, 2025

0 352

CLIO: A Cognitive Loop for Self-Adaptive Reasoning in Science

Artificial intelligence is increasingly a collaborator in scientific inquiry, but most systems still separate the way models learn to reason from the way end users steer them. The paper "Cognitive Loo...

AI Agents Biology DRIFT Search Graph RAG HLE Medicine Reasoning

Nov 3, 2025

0 671

How Deeply Do LLMs Internalize Scientific Literature And Citations?

A new study asks a deceptively simple question: when you ask a large language model to suggest references for a paper, does it think like a scientist? The Harvard and CLPS authors probe this by prompt...

Citations LLM Matthew Effect Science of Science

Nov 3, 2025

0 979

SLED: Self Logits Evolution Decoding Boosts Factuality Without Retraining

Large language models deliver impressive results across many tasks, yet they still produce incorrect or ungrounded statements, often called hallucinations. A growing body of work explores how to reduc...

Decoding Factuality Inference-Time LLM SLED

Nov 3, 2025

0 550

GraphBAN Marries Graphs and LLMs to Predict New Compound-Protein Interactions

Understanding how small molecules interact with proteins is a cornerstone of modern drug discovery. These compound–protein interactions (CPIs) determine whether a candidate molecule can modulate a bio...

BAN CDAN compound-protein interactions domain adaptation drug discovery graph neural networks knowledge distillation

Nov 2, 2025

0 616

3D Nanoprinted Microneedles That Resist Clogging In Embryo Microinjection

A new study in Microsystems & Nanoengineering introduces a microneedle tip architecture aimed at a common failure in microinjection workflows: clogging during penetration and delivery. The team led by...

3d-printing clogging dlw microinjection microneedle zebrafish

Nov 2, 2025

0 506

Rubrics As Rewards: Reinforcement Learning Beyond Verifiable Domains

When AI Doctors Need Better Report Cards A future where AI is designed to help improve diagnostic medicine and even find rare diseases may be very close thanks to research from ScaleAI. But what does ...

AI training healthcare AI interpretability machine learning reinforcement learning rubrics

Nov 2, 2025

0 924

Test-Time Diffusion for Deep Research: How Google's Breakthrough Approach Revolutionizes AI-Powered Research

Introduction: The Dawn of Iterative Research AI A groundbreaking paper from Google Cloud AI Research introduces Deep Researcher with Test-Time Diffusion (TTD-DR), a revolutionary research agent that f...

ai agents benchmark evaluation comparative analysis deep research diffusion models google research research automation test-time diffusion

Nov 1, 2025

0 3322

Is In-Context Learning - Learning? Evidence From 1.89M Predictions

In-context learning (ICL) is the claim that an autoregressive large language model can learn a task from a handful of examples in its prompt, then generalize without updating weights. The paper Is In-...

chain-of-thought formal languages generalization ICL in-context learning OOD prompting

Nov 1, 2025

0 1771

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