Summary: Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are ...

It can take years for humans to solve complex scientific problems. With AI, it can take a fraction of the time.

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

So far few applications of deep learning have been explored. This is definitely going to cater to solving issues in several new application domains, sub-domains using deep learning. A review of these ...

Developers seeking jobs in AI-driven organizations want to know what tech leaders and hiring managers are looking for. Here’s our list.

Ansys SimAI is a physics-agnostic and cloud-enabled computer-aided engineering tool that predicts performance of complex ...

Hanut Singh, a robotics application engineer, said roles like his are the future of the tech industry.

Senior ML Engineer at Dropbox with over a decade of experience in NLP-focused applied machine learning. At Dropbox, she plays ...