Why They Matter for Modern Programming. So, why should you care about high-level languages? Well, for starters, they’re what ...

Google looks for people with unique experiences and fresh ideas, not just fancy degrees. Internships are a great way to get ...

Hugging Face's $299 Reachy Mini leads a DIY robot revolution where open-source humanoids challenge expensive closed-source ...

Someday, we won’t even look at the code that our AI agent produces. We’ll take it for granted, just as we do the assembly ...

Every company, big and small, worries about technical debt. Gartner estimates that about 40% of infrastructure systems have this problem. In a survey of CIOs by McKinsey, nearly a third felt that over ...

Most AI models are developed behind closed doors with unclear documentation and limited visibility into the training data.

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Seabed-origin oil spills pose distinct challenges in marine pollution management due to their complex transport dynamics and ...

Abstract: Image compression-based approaches for defending against the adversarial-example attacks, which threaten the safety use of deep neural networks (DNN), have been investigated recently.

Deep learning has revolutionized image recognition. One significant obstacle still remains, the vulnerability of these models to adversarial attacks. These attacks manipulate images with subtle ...