Have a problem with many competing variables? Why not solve it with a computer algorithm based on cooling metal? Hosted by: ...

Gift from Thomas and Susan Dunn supports creation of the Bike Shop @UChicago, which aims to shape AI development and build ...

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...

Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...

For millions of gig workers driving for companies such as Uber Eats, DoorDash and Deliveroo, there is no human manager to ...

A U.S. data center power outage caused view and upload glitches as users allege censorship after new ownership and app uninstalls briefly spiked ...

Abstract: The slime mould algorithm (SMA) simulates the mechanism by which slime moulds optimize paths through chemical signaling and morphological changes, enabling efficient exploration and ...

Primal-dual methods in online optimization give several of the state-of-the art results in both of the most common models: adversarial and stochastic/random order. Here we try to provide a more ...

Netflix would like you to know that Adolescence has been watched for more than 555 million hours this year, a number so large it feels almost impossible to quantify. (You don’t rack up a figure like ...