Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

We are in a fascinating era where even low-resource devices, such as Internet of Things (IoT) sensors, can use deep learning algorithms to tackle complex problems such as image classification or ...

Precision oncology experience at a tertiary care center. Patient-reported outcomes from a phase 2 study of copanlisib in patients with relapsed/refractory indolent B-cell non-Hodgkin lymphoma (iNHL).

The schedule for QCon AI Boston 2026 (June 1-2) is now live. The two-day program groups sessions around context engineering, ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

Unpacking how recent progress in scaling active inference is already demonstrating real improvements for distributed control ...

Historically, we have used the Turing test as the measurement to determine if a system has reached artificial general intelligence. Created by Alan Turing in 1950 and originally called the “Imitation ...

Walk through enough industrial AI deployments and a pattern becomes uncomfortable to ignore. The pilot works. The model performs. The business case stacks up on paper. Then production arrives, and ...

(Nanowerk News) We are in a fascinating era where even low-resource devices, such as Internet of Things (IoT) sensors, can use deep learning algorithms to tackle complex problems such as image ...