China and U.S. signal openness to AI patents in the AI race, but applicants should proceed carefully

Kirk Sigmon and Hengyi Jiang of Banner & Witcoff Ltd. examine recent policy shifts in both China and the U.S. that signal a ...
IEEE

Design of an Ultra-Thin Metamaterial Absorber With Machine Learning-Assisted Absorption Prediction

Abstract: An absorber is a block of material employed to absorb a portion of the energy of an incident particle. Research on absorbers is rapidly expanding as a result of their prospective ...
C&EN

Unlocking Thermoelectric Potential: A Machine Learning Stacking Approach for Half-Heusler Alloys

Department of Physics, Nanoscale Physics Laboratory, Indian Institute of Technology Madras, Chennai 600036, India Functional Oxides Research Group, Indian Institute of Technology Madras, Chennai ...
The Motley Fool

Think It's Too Late to Buy Applied Digital (APLD) Stock? Here's the 1 Reason Why There's Still Time

The stock does seem overvalued, but you might still invest in it -- one way or another. There's that steep price, though, right? I see several ways you can approach the stock, depending on your risk ...
Seeking Alpha

Applied Digital Q1: $1 Billion NOI Is A Game Changer

Applied Digital is poised for significant growth, with Q1 results highlighting underappreciated AI-driven data center expansion and a strong outlook. Applied's partnership with CoreWeave and rapid ...
Seeking Alpha

Applied Digital Corporation (APLD) Q1 2026 Earnings Call Transcript

Good afternoon, and welcome to Applied Digital's Fiscal First Quarter 2026 Conference Call. My name is Constantine, and I will be your operator for today. Before this call, Applied Digital issued its ...
Frontiers

Identifying key features for determining the patterns of patients with functional dyspepsia using machine learning

Background and aims: Pattern identification (PI) provides a basis for understanding disease symptoms and signs. The aims of this study are to extract features for identifying conventional PI types ...
C&EN

Path to Machine Learning-Driven Autonomous Systems for Solid-State Electrolyte Batteries: Design, Fabrication, and Lifetime Prediction

Solid-state batteries (SSBs) promise the step-change in energy density and safety that today’s lithium-ion technology cannot deliver, yet progress is throttled by the slow and fragmented ...
IEEE

Integration of Image Processing and Machine Learning Technique applied in Agriculture Sector Using Python

Abstract: Image processing has emerged as a crucial technology in agriculture, facilitating tasks such as crop monitoring, disease detection, and yield estimation. Python, with its extensive libraries ...