Lantern Pharma’s predictBBB.ai Evolves Into a Real-Time Large Quantitative Model (LQM) for Precision Molecular Intelligence — Comprehensive Small Molecule Chara…

Lantern Pharma Inc. (NASDAQ: LTRN), a clinical-stage biotechnology company advancing precision oncology through its ...
Frontiers

NeuroAI and the brain: Integrating brain-inspired computational models and large-scale AI architectures with computational theories of neural function

The rapid ascent of large-scale artificial intelligence has provided neuroscience with a new set of powerful tools for modeling complex cognitive functions.
Phys.org

Large AI models can speed catalyst discovery by predicting performance before synthesis

Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...

The AI industry’s massive bet on transformer models may not be enough for true AGI

As Big Tech pours unprecedented resources into scaling large language models, critics argue that transformer-based systems ...
Ars Technica

Large genome model: Open source AI trained on trillions of bases

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...

In real-world test, an AI model did better than doctors at diagnosing patients

Researchers based at Harvard Medical School and Beth Israel Deaconess Medical Center found that an AI reasoning model, ...
Frontiers

Brain-inspired learning and adaptation in large models

Recent advances in large-scale AI models, including large language and vision-language-action models, have significantly expanded the capabilities of ...

White House wants to vet powerful AI models for risks − a computer scientist explains why AI safety is so difficult

Once powerful AI models are released, it’s nearly impossible to keep them from being misused. Minimizing the risk means ...
Fast Company

This is the next big thing in corporate AI

For the past two years, artificial intelligence strategy has largely meant the same thing everywhere: pick a large language model, plug it into your workflows, and start experimenting with prompts.

The AI nobody’s talking about is already picking winners

Editor’s Note: I’ve been doing this long enough to know what a structural shift looks like. It doesn’t announce itself. It doesn’t show up in the headlines. It shows up first in the data —pressure ...