Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
Psychology Today

Diagnosing Schizophrenia With Machine Learning

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Tech Xplore

Study finds 'dosed' nonlinearity can beat linear and fully nonlinear AI

Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Frontiers

Beyond just correlation: causal machine learning for the microbiome, from prediction to health policy with econometric tools

Khelfaoui I, Wang W, Meskher H, Shehata AI, El Basuini MF, Abouelenein MF, Degha HE, Alhoshy M, Teiba II and Mahmoud SS (2025) Beyond just correlation: causal machine learning for the microbiome, from ...
IEEE

MultiSenseNet: Multi-Modal Deep Learning for Machine Failure Risk Prediction

Abstract: Predictive maintenance plays a key role in industrial manufacturing by identifying machine failure risks early. This prevents downtime and improves efficiency, contributing towards industry ...
Communications of the ACM

Formal Reasoning Meets LLMs: Toward AI for Mathematics and Verification

A marriage of formal methods and LLMs seeks to harness the strengths of both.
The Baltimore Sun

Orioles roundtable: Predicting spring training standouts, storylines and more

The 2025 season was one of the most disappointing in Orioles history. The answer to whether it was a harbinger of an organizational downturn or simply an outlier begins this week with spring training.
IEEE

Comparative Analysis of Credit Card Approval Prediction Using Machine Learning in Python and PySpark

Abstract: Over the past few years, using intelligent financial systems has become especially important for assessing credit risks. This study compares the predictive capabilities of Python and PySpark ...
The News Journal

Phillies 2026 roster predictions. Who makes team as spring training nears?

As the Phillies pitchers and catchers report for spring training on Feb. 10, with the first full-squad workout six days later, it's relatively easy to see a veteran roster take shape. Bryce Harper, ...
aasa.org

Student-Centered Learning: Portrait of a Graduate Examples

How a strong Portrait of a Graduate can set the foundation for prioritizing student-centered learning district-wide. A Portrait of a Graduate or learner profile is more than a statement of beliefs. It ...