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Saving Jet Fuel

Tutorial optimizes flight paths to cut jet fuel costs using open-source Scikit-decide planning framework and OpenAP aircraft performance models.

A technical walkthrough demonstrates wind-aware flight path optimization using Scikit-decide, an open-source framework for reinforcement learning and automated planning, paired with OpenAP fuel-consumption models built by Dr. Junzi Sun at TU Delft and NOAA wind data. A Boeing 787-9 flying EWR to FCO can require roughly $68K in fuel, and adjusted routing could save thousands. The post uses Python 3.12, DuckDB with spatial extensions, and QGIS for map rendering.

AIUC Raises $40 Million to Certify Enterprise AI Agents

AIUC raised $40 million in Series A funding led by Ribbit Capital to expand its AIUC-1 standard certifying enterprise AI agents against security risks.

AIUC's Series A, led by Ribbit Capital with participation from First Harmonic, brings the company's total funding to $55 million. Its AIUC-1 standard tests AI agents against roughly 5,000 adversarial scenarios covering jailbreaks, prompt injections, hallucinations, anomalous behavior, and data leaks, with quarterly audits. Certified agents include Cursor, ElevenLabs, Fin, Harvey, KPMG, Lovable, and UiPath; the funds will extend audits, standards, and insurance to frontier models.

SecurityWeek · 3h agoAI industry

Mistral X Mozilla: Private, Multilingual AI Browsing

Mistral and Mozilla partnered to power Firefox's Smart Window AI browsing assistant in France and North America, with zero data retention.

Mozilla's Firefox Smart Window (beta) AI browsing assistant is now powered by Mistral models for users in France and North America, with the UK and Germany expected later this year. Conversations are not saved on Mozilla's servers by default, and Mistral agreed to zero data retention. Both companies frame the partnership as advancing open-source, privacy-first, and regionally fine-tuned AI, with models trained on regional languages, dialects, and cultural context.

Hacker News · securityupdated · 1h agofirst · 8h agoAI industry 2 sourcesHN 35↑ · 8 comments

Inside NVIDIA’s cuDNN Graph API: Fusion, Autotuning, and Plan Reuse with cuDNN Frontend

MarkTechPost tutorial walks through NVIDIA's cuDNN Frontend graph API, covering kernel fusion, autotuning, plan reuse, and CUDA graph capture on Colab GPUs.

The tutorial explains how to express GPU computations as operation graphs via the cuDNN Frontend graph API, running the five-step build pipeline of validate, build operation graph, create execution plans, check support, and build plans. It progresses from a single fused convolution with bias and ReLU to autotuning across engine configs, FP8-style epilogues, attention, plan serialization, dynamic shapes, and CUDA graph capture. Each kernel is benchmarked against a PyTorch reference on a single Colab GPU to verify correctness and measure cost. The piece also covers practical setup issues like making libcudnn.so visible to the frontend's dynamic loader.

MarkTechPost · 19h agoAI tools & infra

The AI graveyard: a running list of projects and startups that didn’t make it

TechCrunch compiles a running list of failed AI products and startups, including Relay, OpenAI's Sora, Humane AI Pin, Notion Mail, and Microsoft's Recall.

TechCrunch's 'AI graveyard' tracks notable AI products and startups that shut down or underperformed, citing S&P Global data that about 42% of AI initiatives are abandoned. Examples include the Relay automation startup, OpenAI's Sora video platform (shut March 2026), ChatGPT Atlas browser (discontinued August 9), Notion Mail (shutting September 22), and Apple's delayed Siri AI that contributed to a $250 million settlement. Hardware failures include the Humane AI Pin ($230 million raised, assets sold to HP for $116 million) and the Rabbit R1, which sold 100,000 units but received poor reviews. Microsoft's Recall feature remains controversial after a researcher demonstrated a tool extracting its captured data.

TechCrunch · AI · 21h agoAI industry1