Antimicrobial resistance (AMR) remains one of the most serious and urgent global health challenges, which significantly ...

One day, there could be a new test to screen for type 1 diabetes, now that scientists have found markers in the blood of the umbilical cords of ...

Abstract: Fuel efficiency prediction model with TensorFlow, analyzing key vehicle parameters to better inform sustainable auto design and consumer decisionmaking. This model uses the dataset of auto ...

Hartford HealthCare and MIT co-developed H2O, an analytics platform using machine learning to optimize hospital operational ...

Materials intelligence in cosmetics integrates AI and molecular simulation, enhancing formulation efficiency and aligning with sustainability goals.

One day, there could be a new test to screen for type 1 diabetes, now that scientists have found markers in the blood of the ...

Matlantis CSP has already produced early results across multiple systems—oxides, alloys, and phosphides—discovering more than 10 previously unknown stable crystals. In the Ga–Au–Ca system, it ...

The AI terms you’re suddenly expected to understand — explained.

Global Digital Twins in Healthcare Market size is expected to be worth around USD 7.24 Billion by 2033 from USD 0.72 ...

The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Nidhi Vakil, titled: "Foundations for ...

Field notes from our human-AI collaboration summit: the 70/30 problem, why agents don't push back, and AI's role as catalyst ...

ChatGPT-style AI gives itself away by increasing in consistency, while human writing remains erratic throughout. The limited context window of most consumer-facing Large Language Models (LLMs) is one ...