Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...

Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...

Meta Platforms (META) is a strong buy after its price dip, driven by AI-fueled growth and high margins. Read here for detailed investment analysis.

Amesite Inc. (NASDAQ: AMST) today announced the launch of the NurseMagic™ EMR, marking a significant expansion of the Company’s platform following a year of strong sequential revenue growth and ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Stanford's AI system guides robots autonomously on the ISS, enabling faster, safer navigation and task execution in space.

2025 Guidance -- First quarter GMV forecasted at $90 million to $96 million (down 2% to up 5%), net revenue at $21.7 million to $22.8 million (down 2% to up 3%), and adjusted EBITDA margin loss of 12% ...

Abstract: The application of Machine Learning for predictive analysis in healthcare, particularly for diseases like diabetes, has proven highly beneficial. This study introduces an optimized Light ...

Abstract: In a real federated learning (FL) system, communication overhead for passing model parameters between the clients and the parameter server (PS) is often a bottleneck. Hierarchical federated ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

Stanford researchers have successfully demonstrated a machine-learning-based control system aboard the International Space Station (ISS) for the first time. The achievement marks a turning point for ...