AZoRobotics

Detecting IoT Malware in EV Chargers with Deep Learning

A new study presents a deep learning approach for IoT malware detection in EV charging stations, addressing key limitations ...

Meta debuts new AI model, attempting to catch Google, OpenAI after spending billions

Meta debuted its first major large language model, Muse Spark, spearheaded by chief AI officer Alexandr Wang, who leads Meta ...

Meta Unveils New A.I. Model, Its First From the Superintelligence Lab

Meta on Wednesday unveiled a new flagship artificial intelligence model called Muse Spark, its first under the revamped A.I.
Meta - About Facebook

Introducing Muse Spark: MSL’s First Model, Purpose-Built to Prioritize People

Muse Spark powers a smarter and faster Meta AI assistant, and will be rolling out to WhatsApp, Instagram, Facebook, Messenger ...
Morning Overview on MSN

New attack can steal AI models via side-channel leaks, no access needed

A growing body of academic research shows that the internal architecture of deep neural networks running on NVIDIA GPUs can ...
Que.com on MSN

The 2026 machine learning revolution: From generative chatbots to autonomous reasoning agents

The 2026 Machine Learning Revolution: From Generative Chatbots to Autonomous Reasoning Agents The first quarter of 2026 has marked a ...

Nvidia's Nemotron-Cascade 2 wins math and coding gold medals with 3B active parameters — and its post-training recipe is now open-source

Nvidia's Nemotron-Cascade 2 is a 30B MoE model that activates only 3B parameters at inference time, yet achieved gold ...
Opinion

Cursor's Composer 2 was secretly built on a Chinese AI model — and it exposes a deeper problem with Western open-source AI

But the story that matters here is not about one company's disclosure failure. It is about why Cursor — and likely many other AI product companies — turned to a Chinese open model in the first place.
marktechpost

How to Design Complex Deep Learning Tensor Pipelines Using Einops with Vision, Attention, and Multimodal Examples

In this tutorial, we walk through advanced usage of Einops to express complex tensor transformations in a clear, readable, and mathematically precise way. We demonstrate how rearrange, reduce, repeat, ...
IEEE

BLTOO-MFFL: Automated and Adversarially Robust Deep Learning for SAR Image Classification by Bi-Level Three-Objective Optimization and Multi-Feature Fusion Loss

Abstract: The deep learning-based synthetic aperture radar (SAR) image classification model is vulnerable to adversarial attacks. Although automated deep learning (ADL) including neural architecture ...