Dan Herbatschek Leads New Initiative in New York and Los Angeles to Advance Transparency and Interpretability in Machine Learning

The applied mathematician and Ramsey Theory Group founder launches a mission to reshape how organizations understand and ...

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 ...
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 ...
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.
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.

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 ...
The Manila Times

Machine Learning Interview Prep For FAANG ML Jobs - Interview Kickstart Updates ML Engineer Interview Process

Interview Kickstart, a U.S.-based upskilling platform for software and data professionals, has introduced its Machine ...