Section 101 eligibility remains one of the most unpredictable and frequently contested areas of U.S. patent practice, particularly for ...

Researchers have published the recipe for an artificial-intelligence model that reviews the scientific literature better than ...

Digital Turbine (NASDAQ:APPS) reported $151.4 million in the fiscal third quarter ended Dec. 31, 2025, up 12% year over year, ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Introduction Mobile health (mHealth) technologies have become increasingly popular for monitoring mental health symptoms and lifestyle behaviours, and are largely reported to be feasible and ...

Human clustering can be rather precarious. Small teams work well because they balance diversity of thought with coherence of ...

Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Once a model is deployed, its internal structure is effectively frozen. Any real learning happens elsewhere: through retraining cycles, fine-tuning jobs or external memory systems layered on top. The ...

AI inverts many constraints that shapes human thought and creates meaning through effort. When thinking becomes frictionless ...

While some consider prompting is a manual hack, context Engineering is a scalable discipline. Learn how to build AI systems that manage their own information flow using MCP and context caching.

With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that ...