Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

TikTok has seen a sharp uptick in users removing the app since the company revealed plans to place its U.S. operations under ...

What users are exposed to is rivalry around pricing and marketing, but some of the most intense competition is over data and ...

I think we really have to think politically and really think about our values and what we need to protect there," Michael Livermore said.

As ad platforms turn into black boxes, signal optimization offers a way to predict downstream value early and improve CAC and ROAS.

AI is rapidly entering clinical care, but malpractice law has not kept pace. As adoption accelerates, clinicians are being ...

Researchers at the California NanoSystems Institute at UCLA published a step-by-step framework for determining the ...

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

During the penetration process of hypersonic glide vehicles (HGV), the maneuvering forms are varied, which brings some challenges for tracking them, such as difficulty in the stable matching of single ...