Two Gen Zers turned down millions from Elon Musk to build an AI based on the human brain—and it’s outperformed models from OpenAI and Anthropic

At the time, almost no one was doing this with language models. The only other group exploring RL for LLMs was DeepSeek, the ...

Interpretable machine learning to accelerate nanocatalyst discovery

A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent ...
Science Daily

Scientists uncover the brain’s hidden learning blocks

Princeton researchers found that the brain excels at learning because it reuses modular “cognitive blocks” across many tasks.
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Broncos vs. Commanders NFL player props, SGP: Self-learning AI backs Bo Nix Over 226.5 passing yards on 'SNF'

SportsLine's self-learning AI reveals NFL player props and its SGP picks for Broncos vs. Commanders on 'Sunday Night Football ...
PlasticsToday

Machine Learning Cracks the Plastics Code

Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...

Machine learning model sharpens snowfall forecasts for the Mountain West

The varied topography of the Western United States—a patchwork of valleys and mountains, basins and plateaus—results in minutely localized weather. Accordingly, snowfall forecasts for the mountain ...

Machine learning beats classical method in predicting cosmic ray radiation near Earth

Cosmic rays are high-energy particles that constantly bombard Earth from space and are influenced by the sun's magnetic ...

Hybrid Quantum: Classical Architectures For Machine Learning

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.
Nanowerk

Machine learning speeds platinum nanocatalyst discovery and stops high temperature sintering

A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures.

The Role Of Machine Learning In Telco Marketing Today

While machine learning can help manage many of these complexities facing marketing teams at telcos, it’s not the starting ...
Security Boulevard

NDSS 2025 – Machine Learning-Based loT Device Identification Models For Security Applications

Eman Maali (Imperial College London), Omar Alrawi (Georgia Institute of Technology), Julie McCann (Imperial College London) PAPER Evaluating Machine Learning-Based IoT Device Identification Models for ...