Purpose-built small language models provide a practical solution for government organizations to operationalize AI with the ...

The promise of physical AI is that engineers will be able to program physical agents the same way they do digital ones. We’re ...

Most of the public conversation regarding the use of AI-driven autonomous lethal weapons centers on how much humans should ...

Nearly 80 percent of organizations now use AI in at least one core business process, according to McKinsey, yet widespread adoption has surfaced a persistent problem: a deep shortage of professionals ...

If you have trouble following the instruction below, feel free to join OSCER weekly zoom help sessions. If you're doing deep learning neural network research, tensorflow need no introduction. It is ...

CAMBRIDGE, MA -- Artificial intelligence holds promise for helping doctors diagnose patients and personalize treatment options. However, an international group of scientists led by MIT cautions that ...

OpenAI announced on March 17 that it will acquire Astral, the company behind Python’s widely used developer tools, to bolster its Codex coding platform as it races to close a revenue gap with ...

In the last year, AI agents have become all the rage. OpenAI, Google, and Anthropic all launched public-facing agents designed to take on multi-step tasks handed to them by humans. In the last month, ...

A study led by MIT researchers found that agentic AI developers seldom publish detailed information about how these tools were tested for safety. Macy is a writer on the AI Team. She covers how AI is ...

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...

A new framework from researchers Alexander and Jacob Roman rejects the complexity of current AI tools, offering a synchronous, type-safe alternative designed for reproducibility and cost-conscious ...