(1) Integration with Artificial Intelligence and Machine Learning ...

Researchers have developed a smart pen designed not only for writing, but as a potential tool to make early detection of ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Future OCR table recognition systems will also have adaptive learning capabilities, enabling them to automatically adjust recognition models based on user feedback and changes in ...

Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...

With artificial intelligence (AI) becoming an omnipresent focus of innovation in the healthcare sector, it should come as no ...

As AI moves into real-time applications—from autonomous vehicles to instant medical diagnostics—the systems processing it can ...

Nature action is climbing up the boardroom agenda. Yet significant data gaps remain, and sustainability professionals are ...

Six principles for thinking about AI from the robotics pioneer behind the Roomba and former head of the MIT Artificial Intelligence Lab.

Learn how AI is improving Parkinson’s diagnosis, treatment, and clinical trials through earlier detection, precision care, ...

TransCore has been honored with the prestigious International Bridge, Tunnel and Turnpike Association’s (IBTTA) Toll ...

Akshay Jagadeesh's path is a shining testament to how deep scholarly knowledge of neuroscience can shift gears to ...