Tech Xplore

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Opinion

Former Amazon Robotics Engineer Highlights Need for Unified Safety Frameworks in Autonomous Systems

Industry assessor cites growing fragmentation of responsibility across autonomy technology stacks ATLANTA , GA, UNITED STATES, January 2, 2026 /EINPresswire.com/ — As autonomous systems continue to ...
Communications of the ACM

AI Context Engineering: The Missing Linker in the Agentic Stack

Norm Hardy’s classic Confused Deputy problem describes a privileged component that is tricked into misusing its authority on ...
CU Independent

The Role of AI and Machine Learning in People Search Accuracy

See how AI and machine learning are transforming people search accuracy. Learn how ML improves precision and recall, powers ...
IEEE

Predicting the Compressive Strength of Recycled Concrete Using Ensemble Learning Model

Abstract: This research proposes a stacking machine learning method to accurately predict the compressive strength of recycled concrete. The model integrates eXtreme Gradient Boosting (XGBoost), Extra ...

M4 Pro Macs Stack : Thunderbolt 5 Links Make Mac AI Go Way Faster

RDMA via Thunderbolt 5 brings 10x faster links for Apple Silicon clusters, helping you run larger AI models on affordable M4 ...
Business Insider

LEAD's Solid-State Battery Cell Stacking Machine Redefines Next-Generation Cell Manufacturing Standards

WUXI, China, Nov. 21, 2025 (GLOBE NEWSWIRE) -- As the global energy transition accelerates, solid-state batteries are emerging as the next-generation energy storage technology, offering exceptional ...
Frontiers

Stacking data analysis method for Langmuir multi-probe payload

Figure 2. Trajectory of ions attracted by the probe. Under orbital motion-limited theory, the relationship between ion saturation current and probe voltage for a cylindrical Langmuir probe can also be ...
C&EN

Simulation of Core Flooding with Predicted Oil and Water Relative Permeabilities Using Bagging, Boosting, and Stacking Machine Learning Techniques

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Despite global efforts to transition from fossil fuels to ...