A model that runs in a notebook serves one request at a time. A production endpoint receives many requests at once, and each one needs GPU memory for its key-value (KV) cache, a slot in the batch, and a response stream. Plain PyTorch or Hugging Face Transformers can serve the model, but you have to

Summary: A mixed-methods psychological investigation published in Psychology & Marketing reveals the profound emotional vulnerabilities experienced by people who form intimate bonds with artificial intelligence companions. Led by researchers from the University of Surrey and Cardiff University, the team analyzed 1,131 Reddit discussions and surveyed 610 U.S. adults using companion apps like Replika. They discovered

Written by Yuan Zhang | November 3, 2026 The Division of Biostatistics of the Department of Preventive Medicine invites you to attend the following seminar. Time: Monday, November 16, 2026, 2:00 – 3:00 pm CT Venue: Doctor’s Office Building Conference Room 400, 66 N Pauline St, Memphis, TN 38163 ZOOM Virtual Room Connection: Register in advance

See more of our coverage in your search results. Senator Elizabeth Warren and four other lawmakers questioned McDonald’s use of algorithmic pricing tools in a letter to CEO Chris Kempczinski, which the lawmakers shared with Reuters. The letter, dated Nov. 2, cites a Reuters story from Sept. 29 that found McDonald’s uses machine learning algorithms

Netskope is a cybersecurity company that helps organizations securely adopt cloud and AI technologies by protecting data, applications, users, and AI interactions through real-time security and zero-trust controls. You founded Netskope in 2012, long before generative AI became the phenomenon it is today. What problem were you trying to solve at the time, and how

Building cloud solutions with autonomous AI agents should feel fast, safe, and reliable. Without cloud-specific context, coding agents often struggle. They might invent deprecated SDK syntax, guess invalid command flags, or attempt operations without the required Identity and Access Management (IAM) permissions. Even worse, an unguided agent can enable billable APIs or provision cloud resources

A more plausible AI catastrophe may not require sentience, malice, or superintelligence. Just enough access to break things faster than we can fix them. MIT professor Max Tegmark’s proposed 12 potential outcomes for artificial intelligence imagine radically different endings with one largely shared assumption: At some point, artificial intelligence becomes extraordinarily capable. Humans will then

In medicine, predictive models derived from artificial intelligence (AI) and machine learning have some related weaknesses that call for monitoring and correction. Model performance can degrade over time as clinical practice, information systems and patient populations change — a problem known as model drift. Sharon Davis, PhD Another potential weakness is poor generalizability across different