Papers | Joshua Berkowitz

7 Articles

machine learning ×

Rapid and Automated Alloy Design with Graph Neural Network-Powered Large Language Model-Driven Multi-Agent AI

The search for new materials with enhanced mechanical properties has previously been constrained by the sheer complexity of the compositional design space. Multi-principal element alloys offer excepti...

alloy design artificial intelligence computational materials dislocation dynamics graph neural networks machine learning materials science multi-agent systems

Nov 10, 2025

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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 7810

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

0 627

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 1507

Uni-LoRA: Ultra-Efficient Parameter Reduction For LLM Training

Low-Rank Adaptation (LoRA) revolutionized how we fine-tune large language models by introducing parameter-efficient training methods that constrain weight updates to low-rank matrix decompositions (Hu...

computational efficiency isometric projections linear algebra LoRA machine learning mathematics neural networks optimization parameter efficiency projection methods

Sep 20, 2025

0 2585

Scaling Laws Unveiled: The Mathematical Blueprint Behind Smarter, Cheaper AI Models

Training a state-of-the-art language model can cost tens of millions of dollars and months of computation time, not to mention the expertise needed for development. Yet until now, researchers have bee...

AI Chinchilla deep learning GPT-3 language models machine learning neural networks optimization principal component analysis scaling laws statistical methodology

Sep 20, 2025

0 3025

Universal Deep Research: A User-Programmable Deep Research Agent

Universal Deep Research (UDR) is a research prototype from NVIDIA Research that fundamentally rethinks how deep research agents work. Instead of hard-coding a fixed search-and-synthesis loop around on...

artificial intelligence machine learning natural language processing research agents

Sep 7, 2025

0 5863

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