The current DARPA Advanced Technology Development program retains this theme with a focus on maturing advanced technologies ...

Nicola Dell, a computer scientist studying the role of technology in intimate partner violence, cofounded the Center to End ...

Abstract: Deep Neural Networks (DNNs) have recently made significant strides in various fields; however, they are susceptible to adversarial examples—crafted inputs with imperceptible perturbations ...

TNO drives the future of secure AI - researching, designing, and testing cutting-edge cybersecurity solutions for next-gen ...

Dolby Vision 2 is coming this year, here’s what you need to know Save up to 50% on DeWalt tools right now at Amazon — prices start at just $10 ...

TULSA, Okla. — The voter-approved Vision 2025: Foresight 4 Greater Tulsa funding package put several big projects within sight for Tulsa County and Tulsa proper, and finished earlier this year. It ...

[Dennis] of [Made by Dennis] has been building a Voron 0 for fun and education, and since this apparently wasn’t enough of a challenge, decided to add a number of scratch-built improvements and ...

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A Cornell research team has introduced a new method that helps machines make ...

Ethical disclosures and Gaussian Splatting are on the wane, while the sheer volume of submitted papers represents a new problem for AI to tackle in 2026. Opinion I have followed computer vision and ...

Abstract: Vision-language pre-training (VLP) models excel at interpreting both images and text but remain vulnerable to multimodal adversarial examples (AEs). Advancing the generation of transferable ...