Ongoing research into AI agent framework security identified an exploit chain in AutoGen Studio (AutoGen’s open-source prototyping user interface) that allows untrusted web content rendered by a ...

Researchers at the Department of Energy's Pacific Northwest National Laboratory use a slew of autonomous robots to design and ...

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...

Explore the leading application security tools of 2026 designed for enterprises. Understand their features, pricing models, and integration guidance for Indian and APAC businesses to enhance cyber ...

VS Code can use LLM models other than GitHub Copilot’s built-in providers for AI-assisted development, including local and ...

Objectives This study investigated the impact of heat on the risk of hospital admission due to a range of health conditions in England. Design We used records of over 4 million hospital admissions in ...

Eight-month live online programme by CEC, IIT Roorkee equips professionals to build applied expertise across Python, machine ...

Timely and accurate prediction of poststroke motor outcome is important for efficient rehabilitation planning and resource allocation. Existing bedside models for predicting upper-limb outcome after ...

To systematically review the literature on the application of machine learning models in post-stroke aphasia, and to provide a reference for the construction and clinical application of related models ...

Using AI chatbots for even just 10 minutes may have a shockingly negative impact on people’s ability to think and problem-solve, according to a new study from researchers at Carnegie Mellon, MIT, ...

Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...