Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.

Researchers combine numerical modeling with neural networks to show how nanodiamond aggregation, magnetic fields, and surface ...

Researchers at the Department of Energy's SLAC National Accelerator Laboratory and collaborating institutions recently built a generative AI model that can recreate molecular structures from the ...

Founded by Akanksha Gupta and microbiome researcher Dr Palok, the healthtech startup uses AI-driven metabolite analysis to profile gut microbes and deliver personalised nutrition and probiotic ...

Moloco’s AI will integrate directly with Costco’s identity resolution and audience-building infrastructure so advertisers can ...

Official count may have missed more than 150,000 coronavirus-related fatalities ...

Understanding the difference between simple automation and artificial intelligence could save you millions, writes Satyen K.

Accurate stock trend forecasting is a central challenge in financial economics due to the highly nonlinear and interdependent nature of market dynamics. Traditional statistical and machine learning ...

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...

The U.S. Department of Energy now has two major supercomputing systems aimed at accelerating fusion energy research through ...

Computational analysis has revealed that diatomic molecules with two metal atoms of similar electronegativities can have a much greater dipole moment than those conventionally thought of as polar.

The rapid advancement of artificial intelligence is fundamentally transforming China's education sector, shifting it from a uniform model toward one focused on personalized development, according to ...