Tech Times on MSN

NVIDIA Molt open-sources agentic RL training that scales to trillion-parameter models

NVIDIA Molt agentic RL framework, open-sourced July 22, 2026, delivers a PyTorch-native training stack of roughly 8,600 lines ...
Electronic Design

Applying Edge AI to DC Arc Fault Detection (Part 3): Compiling and Deploying Models on MCUs

How to translate trained CNNs into MCU-ready artifacts, manage flash/RAM limits, and meet sub-millisecond inference budgets without disrupting real-time control loops or ADC/comm servicing. How to ...
marktechpost

How to Build a Lightweight Vision-Language-Action-Inspired Embodied Agent with Latent World Modeling and Model Predictive Control

In this tutorial, we build an embodied simulation vision agent that learns to perceive, plan, predict, and replan directly from pixel observations. We create a fully NumPy-rendered grid world in which ...
GitHub

Prompt-In-the-Loop Distillation for On-Device Deployment of SAM

EdgeSAM is an accelerated variant of the Segment Anything Model (SAM), optimized for efficient execution on edge devices with minimal compromise in performance. It achieves a 40-fold speed increase ...
unite

Setting Up a Training, Fine-Tuning, and Inferencing of LLMs with NVIDIA GPUs and CUDA

The field of artificial intelligence (AI) has witnessed remarkable advancements in recent years, and at the heart of it lies the powerful combination of graphics processing units (GPUs) and parallel ...
Frontiers

Autonomous detection and sorting of litter using deep learning and soft robotic grippers

Road infrastructure is one of the most vital assets of any country. Keeping the road infrastructure clean and unpolluted is important for ensuring road safety and reducing environmental risk. However, ...
Frontiers

Automated bow shock and magnetopause boundary detection with Cassini using threshold and deep learning methods

Two algorithms set for automatic detection of bow shock (BS) and magnetopause (MP) boundaries at Saturn using in situ magnetic field and plasma data acquired by the Cassini spacecraft are presented.
C&EN

Fault Diagnosis of the Dynamic Chemical Process Based on the Optimized CNN-LSTM Network

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Deep learning provides new ideas for chemical process fault diagnosis, reducing ...