Microsoft’s open-source SkillOpt automatically upgrades AI agent skills without touching model weights

Microsoft's SkillOpt brings deep-learning discipline to AI agent skills, replacing manual prompt tweaking with mathematically ...
news.ucsb.edu

Proving the value of an old algorithm in training deep-learning models for AI

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...
TMCnet

WiMi Achieves Breakthrough in Deep Convolutional Neural Network Technology Based on Quantum Parameterized Circuits

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company") is a leading global Hologram Augmented Reality ("AR") Technology provider. A quantum deep convolutional neural network technology ...
GlobalSpec Insights

Deep learning versus continual learning for environmental control

The use of artificial intelligence in environmental control systems often centers on two contrasting approaches, static deep ...
Hosted on MSN

AI-Driven Learning Strategies Are Accelerating LMS ROI in 2026

In 2026, organizations are compressing LMS ROI timelines from 18.5 to 10.1 months by combining structured post-launch optimization with AI-driven personalization, integrated compliance systems, ...
ascopubs.org

Optimizing chemotherapy decisions in low-resource settings with deep learning: A novel approach for unresectable NSCLC.

Validating a semantic similarity approach for automated data extraction in phase II oncology trials. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...
ascopubs.org

Development and validation of a deep learning clinical decision support system to optimize inpatient mortality and palliative care referrals in cancer patients.

The wasting shadow: Underweight/cachexia as a consistent predictor of adverse inpatient outcomes and escalated resource use across common solid tumors.