AI"s inability to continually learn remains one of the biggest problems standing in the way to truly general purpose models.

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Rising alert volumes, talent shortages, and tool sprawl have pushed security operations beyond a sustainable cost structure.

TrueFoundry launches TrueFailover, an AI failover system that automatically reroutes enterprise traffic to backup models when ...

AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Quantum Transportation Ltd. - a minority-owned subsidiary of Quantum X Labs Ltd., the Israeli quantum tech group Viewbix is in the process of acquiring - has successfully completed Milestone 1 in its ...

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

An analysis of NeurIPS 2025 papers by startup GPTZero reveals how AI-generated citations are slipping into elite academic ...

These developments suggest AI’s impact on materials R&D is as much organisational as it is technical, shifting labs toward ...

A new medical large language model (LLM) achieved over 91 percent accuracy in identifying female participants diagnosed with major depressive disorder after analyzing a short WhatsApp audio recording ...

Support our mission to keep content open and free by engaging with theCUBE community. Join theCUBE’s Alumni Trust Network, ...