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 ...
IEEE

Research on High-Speed Electric Spindle Thermal Error Modeling Based on Stacking Ensemble Learning Method

Abstract: Spindle thermal error is a significant factor affecting the machining accuracy of CNC machine tools. This study addresses the limitations of single thermal ...
New Electronics

Alif Semiconductor providing support for ExecuTorch Runtime in Ensemble MCUs

Alif Semiconductor, a supplier of Artificial Intelligence and Machine Learning (AI/ML) microcontrollers (MCUs) and fusion ...

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

Alif Semiconductor®, the leading global supplier of secure, connected, power efficient Artificial Intelligence and Machine ...

Explainable AI Market Will Reach $34.6 Billion by 2033 - Interview Kickstart's Adds XAI Specialization to Machine Learning Course

SANTA CLARA, CA - October 30, 2025 - - The global demand for Explainable AI (XAI) is accelerating as organizations seek ...

Lantern Pharma to Present AI-Driven Cancer Drug Development & Research Platforms at Inaugural AI for Biology and Medicine Symposium at UNT

DALLAS--Lantern Pharma to Present AI-Driven Cancer Drug Development & Research Platforms at Inaugural AI for Biology and ...

Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
IEEE

Transformer and RF Ensemble Learning to Solve Large-Scale Security Constrained Unit Commitment

Abstract: This paper focuses on the security constraint unit commitment (SCUC) problem in large-scale power systems and proposes a Transformer and random forest (RF) ensemble learning method to solve ...
Frontiers

Advancing Computational Material Science and Mechanics through Integrated Deep Learning Models

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...
Devdiscourse

Machine learning to deep learning: The new frontline in global phishing defense

According to the authors, this evolution marks a clear transition from traditional rule-based security toward data-driven, ...
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 ...