AlexNet revolutionized the use of neural networks for computer vision, creating one of the underpinnings of generative AI.

A group of senior career officials tried but ultimately failed to protect the agency’s highly-sensitive database of taxpayer information.

Physicist Michael Vopson proposes that the universe operates on an efficient algorithm, suggesting it behaves like a data ...

An open source license is not enough: manufacturers of AI models should make them open source, including code and training ...

On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 ...

It’s true that a key benefit of open-source technology is that it doesn’t require a licensing fee—but thinking of it as just ...

The Department of Homeland Security and the Internal Revenue Service finalized an agreement Monday to provide sensitive taxpayer data to federal immigration authorities as part of President Donald ...

DSPy shifts the paradigm for interacting with models from prompt hacking to high-level programming, making LLM applications ...

The productivity boost from GenAI is clear, but it creates tension with the industry’s increasing push to secure coding and ...

Learn how to build a custom crypto portfolio tracker using ChatGPT. With this step-by-step guide, you can track your assets ...

In 2022, Musk revealed on X how he ensnared a Tesla worker who had leaked the company’s private information to the press over ...

Data4Life, the nonprofit digital health organization, today announced the open-source release of its research platform Data2Evidence (D2E). With this move, Data4Life is equipping researchers and ...