Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Indian Railways is actively enhancing its safety and operational efficiency through the deployment of advanced Artificial Intelligence (AI) and Machine Learning (ML) devices and smart monitoring ...

Principal Architect Sandeep Patil’s landmark research charts a new course for cloud-native data warehousing — from serverless MPP engines and lakehouse convergence to AI-powered query optimization and ...

Sudhir Kumar Rai, Director of Data Science at Trellix, drives responsible generative AI innovation for enterprise systems, ...

Engineers at the University of Pennsylvania have developed LIBRIS, an automated microfluidic platform that dramatically ...

Product design leader Eugene Reukai argues that successful AI integration depends on human-centered design, clear workflows, and disciplined implementation.

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by York University has found that not only could machine-learning models ...

The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across ...

Moog uses advanced modeling and simulation tools—such as Simulink, MATLAB and its proprietary MAST library—to design and optimize high-performance motion control systems. Real-world applications ...

Explore five intriguing patterns in deep learning research that are shaping the future of AI. Understand key trends, breakthroughs, and insights that every AI enthusiast and practitioner should know. ...