In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

SHANGHAI, SHANGHAI, CHINA, January 20, 2026 /EINPresswire.com/ -- The global healthcare sector is witnessing a paradigm ...

Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...

University of Virginia School of Data Science researcher Heman Shakeri has been awarded a major new research grant to lead work at the intersection of machine learning and diabetes care.

In 2024, North America held a dominan market position, capturing more than a 38.2% share, holding USD 1.3 Billion revenue.

Machine learning is becoming a key tool in food production, reshaping how food is processed, preserved, monitored, and delivered across global supply chains. Climate volatility, rising energy costs, ...

Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...

Abstract: Urban transportation systems increasingly demand responsive and scalable predictive frameworks to manage fluctuating passenger volumes in real time. This study proposes a novel adaptive ...

The exponential growth of digital financial services has created unprecedented challenges in fraud prevention and identity verification. Traditional rule-based systems struggle to keep pace with ...