Fine-Tuning Qwen3 with LoRA Using NVIDIA NeMo AutoModel: A Complete Single-GPU Google Colab Workflow Tutorial

In this tutorial, we build an end-to-end NVIDIA NeMo AutoModel workflow in Google Colab and use a single GPU to explore the same configuration-driven training architecture that scales to distributed multi-GPU environments. We verify the available CUDA hardware and precision support, install NeMo AutoModel directly from its source repository, load an official Qwen3-0.6B LoRA fine-tuning…

Read Full News
Waymo says San Francisco service has resumed after one-hour pause

Waymo says San Francisco service has resumed after one-hour pause

Waymo says robotaxi service has resumed after it made “short-term changes” in San Francisco amidst an influence outage that seems to have affected around 7,000 PG&E customers within the metropolis. Based on a screenshot posted on social media, Waymo informed SF prospects that service was “quickly paused” and that “freeway routes are unavailable.” When TechCrunch…

Read Full News

NVIDIA Released DeepStream 9.1: Bringing Agentic AI to Vision AI With 13 Skills and Multi-View 3D Tracking

NVIDIA just released DeepStream 9.1. The update targets a persistent problem in video analytics. Tracking one object across many cameras traditionally requires manual camera calibration and complicated calculations. DeepStream 9.1 addresses this with two additions: Multi-View 3D Tracking (MV3DT) and AutoMagicCalib (AMC). Both ship as agentic skills for coding agents. As a result, developers move…

Read Full News
Immediate Injection Assaults Are Thwarting AI Hacking Brokers

Immediate Injection Assaults Are Thwarting AI Hacking Brokers

Immediate injections, the malicious instructions attackers embed into content material to entice massive language fashions to comply with them, have been attackers’ go-to device for turning AI platforms towards their customers. A well-phrased command sneaked into an electronic mail or calendar invitation is commonly all it takes to trigger the LLM to exfiltrate delicate knowledge…

Read Full News

Sakana AI’s Error Diffusion Trains Dale-Compliant Dual-Stream Networks, Reaching 96.7% MNIST and 61.7% CIFAR-10 Without Backpropagation

Backpropagation dominates deep learning, yet it uses a mechanism the brain likely cannot. Specifically, the backward pass needs exact transposes of forward weight matrices. This is the weight transport problem. Sakana AI’s new paper, Diffusing Blame, confronts this constraint directly. The research team trains networks that obey Dale’s principle while avoiding weight transport entirely. What…

Read Full News