A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

Machine learning enables real-time PCB defect detection using a FOMO model on a Raspberry Pi. Learn how with this ...

A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used ...

Estimating the location of contact is a primary function of artificial tactile sensing apparatuses that perceive the environment through touch. Existing contact localization methods use flat geometry ...

What Are Non-Human Identities and Secrets Security Management? How does one navigate the intricate web of cybersecurity if non-human identities are participating in networks as much as humans? The ...