The draft order, obtained by WIRED, instructs the US Justice Department to sue states that pass laws regulating AI. US President Donald Trump is considering signing an executive order that would seek to challenge state efforts to regulate artificial intelligence through lawsuits and the withholding federal funding, WIRED has learned. A draft of the order viewed by WIRED directs US Attorney General Pam Bondi to create an "AI Litigation Task Force," whose purpose is to sue states in court for passing AI regulations that allegedly violate federal laws governing things like free speech and interstate commerce. Trump could sign the order, which is currently titled "Eliminating State Law Obstruction of National AI Policy," as early as this week, according to four sources familiar with the matter. A White House spokesperson told WIRED that "discussion about potential executive orders is speculation."

As the deep integration of machine learning and intelligent education, Computerized Adaptive Testing (CA T) has received more and more research attention.

Deep neural networks are known to be vulnerable to small adversarial perturbations in test data. To defend against adversarial attacks, probabilistic classifiers have been proposed as an alternative to deterministic ones. However, literature has conflicting findings on the effectiveness of probabilistic classifiers in comparison to deterministic ones.

Private inference framework CoPriv adopts CypTFlow2 [39] protocol for private inference. MBps bandwidth and 80ms echo latency. We train our proposed CoPriv with self-distillation. For the network re-parameterization mentioned in Section 4.2, here we provide the For some input size, the input cannot be covered by tiles. The correctness and equivalence can be proved with Eq. 1. Also, [ Winograd convolution for stride of 2. The algorithm can be nested with itself to obtain a 2D algorithm The correctness analysis is the same with Section D.3.

In this paper, we reconstruct naturalistic images directly from macaque brain signals using a convolutional neural network (CNN) based decoder.

HTTP/3 is a new application layer protocol supported by most browsers. It uses QUIC as an underlying transport protocol. QUIC provides multiple benefits, like faster connection establishment, reduced latency, and improved connection migration.

Nvidia's CEO Jensen Huang says of the idea there is an artificial intelligence bubble, From our vantage point, we see something very different." Nvidia delivered a surprisingly strong revenue forecast and pushed back on the idea that the artificial intelligence industry is in a bubble, easing concerns that had spread across the tech sector. Sales will be about $65 billion in the January quarter, the chipmaker said in a statement on Wednesday. Analysts had estimated $62 billion on average, according to data compiled by Bloomberg. The outlook signals that demand remains robust for Nvidia's artificial intelligence accelerators, the pricey and powerful chips used to develop AI models. Nvidia has faced growing fears that the runaway spending on such equipment isn't sustainable.

Record sales, a strong financial forecast, and CEO Jensen Huang's impassioned arguments on his company's earnings call weren't enough to push Nvidia shares back to their October high. Nvidia CEO Jensen Huang speaks to the media in Tainan, Taiwan on November 7, 2025. Nvidia CEO Jensen Huang didn't need any prompting on Wednesday to address the elephant in the room . "There's been a lot of talk about an AI bubble," he said on an earnings call before quickly getting to his main point: "From our vantage point, we see something very different." Huang went on to spend about five minutes trying to explain how the chipmaker, which has soared to become the world's most valuable publicly traded company over the past three years, would be able to sustain unprecedented customer demand.

Preparing training data for deep vision models is a labor-intensive task.

Then, we propose FreTS, a simple yet effective architecture built upon Fre quency-domain MLPs for T ime S eries forecasting.