With nearly two decades in the automotive industry, Naresh Kalimuthu shares how connected car platforms achieve high reliability at scale. From reducing outages by 90% to strengthening telematics and ...

Stevens Master of Data Science graduate Vandna Rajpal and her team, Neural Navigators, received first place at the D3CODE 2025 Global Hackathon. Her team designed Predicting and Reporting Insights ...

Consulting engineers have always had to deliver services far beyond design, but today’s data-driven projects are giving firms such as WSP/Power Engineers and Jacobs fresh opportunities to turn client ...

Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...

The combination will help optimise cooling operations in real time, enable predictive maintenance, and support scalable and reliable infrastructure for AI workloads.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

We are glad that Isomorphic is helping advance the field and are able to match the level of performance we demonstrated at the ARDD conference in Copenhagen last August. In August, Deep Origin ...

An efficient neural screening approach rapidly identifies circuit modules governing distinct behavioral transitions in ...

Modern companies are getting cramped at the top, as established tech leader roles like CIO and CTO have been joined by the ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

The ideal candidate will have a strong foundation in computer science principles, a proven ability to deliver high-quality ...