DONGGUAN, GUANGDONG, CHINA, January 16, 2026 /EINPresswire.com/ -- The global workplace is undergoing a digital ...
Purpose-driven product decisions might not always lead to flashy headlines, but they do lead to consistently better customer ...
ServiceNow, Inc. (NYSE:NOW) Q4 2025 Earnings Call Transcript January 28, 2026 ServiceNow, Inc. beats earnings expectations. Reported EPS is $0.92, expectations were $0.885. Operator: At this time, I ...
The Cool Down on MSN
Chinese automaker unveils game-changing EV model with impressive features: 'Moving confidently'
"Technology and specs that rival anything else." Chinese automaker unveils game-changing EV model with impressive features: ...
Chromosomes are masters of organization. These long strings of DNA fold down into an ensemble of compact structures that keep needed parts of the genome accessible while tucking away those that aren't ...
Microsoft has released FetchXML-driven customization for Dynamics 365 Contact Center, enabling targeted agent transfers and ...
SAN FRANCISCO, Jan. 15, 2026 (GLOBE NEWSWIRE) -- Sanket Sahu, the co-founder of GeekyAnts and creator of gluestack, recently shared his insights and has been featured in a technical publication by ...
WALTHAM, Mass.--(BUSINESS WIRE)--BostonGene, the developer of the leading AI foundation model for tumor and immune biology, today announced a strategic collaboration with AstraZeneca, a global, ...
Abstract: Accurate drug–drug interaction (DDI) prediction is crucial for optimizing the efficacy of combination therapies and minimizing adverse effects. Most existing methods rely on single features ...
The U.S. National Oceanic and Atmospheric Administration said it has launched a suite of operational, artificial intelligence-driven global weather prediction models that NOAA said marks an ...
Meta is reportedly developing a new AI model, code-named "Avocado," slated for release in the spring of 2026. Unlike its popular Llama series, which embraced an open-source approach, Avocado is ...
Abstract: This work presents an explainable deep learning for turbulence modelling feature discovery in several flow configurations where conventional approaches perform poorly. The proposed neural ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results