Cantor Fitzgerald says Robinhood and Coinbase are best positioned to dominate the prediction market space by leveraging their ...

The result supports earlier studies that used brain imaging to find evidence that the same neural circuits are involved in ...

Peter Molyneux, Google DeepMind's Richard Evans, and more on the making and legacy of Black & White as it turns 25.

Artificial intelligence terminology continues to expand as researchers and companies develop new systems, prompting the need ...

Artificial intelligence powerhouse OpenAI Group PBC is lending its expertise to Novo Nordisk A/S in a new partnership ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

Challenging the classic view, two cognitive scientists argue in a new review that categorization is not a late, specialized ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...

his is what computer science looks like at its best — advancing discovery while improving lives on a global scale.

Prediction markets let people wager on just about anything — from basketball games to elections. And among more jarring bets ...