Atlas3D ensures the generation of self-supporting 3D models that adhere to physical laws of stability under gravity, contact, and friction.

Data serves as the fundamental basis for advancing deep learning.

In this paper, we identify that PINNs can be adversely trained when gradients of each loss function exhibit a significant imbalance in their magnitudes and present a negative inner product value.

Evaluating Large Language Models' (LLMs) anthropomorphic capabilities has

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."

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.

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

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.