The post-training revolution: How reinforcement learning is upending the AI infra stack

TechCrunch was proud to host Scale Venture Partners at Disrupt 2025 in San Francisco. Here’s an overview of their AI Stage session.  The reinforcement learning market has exploded, with enterprises ...
TMCnet

Alif Semiconductor elevates generative AI at the edge with new support for ExecuTorch Runtime in its Ensemble MCUs

Together with Arm, Alif demonstrated at the PyTorch Conference generative AI models compiled with the ExecuTorch Runtime ...
Devdiscourse

New AI forecasting model promises greater stability for Kenya’s volatile food prices

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...
Devdiscourse

Explainable AI model achieves breakthrough accuracy in ovarian cancer detection

The researchers argue that the integration of explainable AI into clinical decision-making pipelines could reshape cancer ...
Newspoint on MSN

Guwahati Student to Present AI Research at International Conference in Azerbaijan

Remarkable Achievement by Guwahati Student Huma Abia Kanta, a Class XII student from Royal Global School in Guwahati, Assam, ...
AZoSensors on MSN

ML and Volume Modeling Boosts Corn Biomass Prediction

Advanced UAV sensor integration and machine learning may improve corn AGB predictions, providing scalable solutions for ...
pv magazine International

Machine learning-based fault detection technique for bifacial PV

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...

Jiaying Huang Explores Forecasting Strategies to Optimize Resource Scheduling in Cloud Platforms

A forecasting-driven framework integrates ARIMA, LSTM, and ensemble learning to optimize cloud resource scheduling. By predicting CPU, memory, ...
Frontiers

From Traditional Metabolic Markers to Ensemble Learning: Comparative Application of Machine Learning Models for Predicting NAFLD Risk in Adolescents

The final, formatted version of the article will be published soon. Background: Non-alcoholic fatty liver disease (NAFLD) is increasingly prevalent among adolescents and poses a major public health ...
IEEE

Robust DC Series Arc Fault Detection in Photovoltaic Systems via Multifeature Fusion and Heterogeneous Ensemble Learning

Abstract: The dc arc fault is one of the typical faults in photovoltaic (PV) systems, which can lead to fire accidents in several cases. Therefore, it is necessary to develop an effective arc fault ...
ABC7

3 stabbed at Torrance school; ex-student arrested, claims he placed 2 pipe bombs in area, police say

TORRANCE, Calif. (KABC) -- A former student at a Torrance school allegedly stabbed three staff members and attempted to stab a fourth before he was arrested. The suspect also told authorities he ...