In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.

The Infosys Model Inference Library (IMIL) is a versatile and powerful tool designed to simplify the deployment and utilization of machine learning models, regardless of the framework or model type.

Most drivers learn about car parts the hard way by ordering the wrong component twice. Consulting a specialist can prevent ...

Discover the Leadership Grid—a model assessing leadership styles across five types. Learn how concern for production and people shapes effective leadership.

IIT Bombay’s new deep learning framework, named SpADANet, enhances damage classification accuracy using limited labels across ...

Cyber-attacks have become more frequent, targeted, and complex as the exponential growth in computer networks and the development of Internet of Things (IoT). Network intrusion detection system (NIDS) ...

As the implementation of the Youngstown City School District’s two-pronged reconfiguration plan draws closer, school ...

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic ...

A lot of people feel distress about their porn use, but the reasons aren’t always what they seem. We can understand the ...

Liver disease is a major global health problem, causing over two million deaths worldwide each year. While animal models have ...

But TCS coming to hire two bus loads of kids every year will not happen. The kind of expertise that will be taught in college ...

Nobody has shown more vividly how all this overreliance on statistics in LLMs plays out than the AI safety researcher Owain ...