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Gatik said the funding will help it expand its model built around high-frequency regional routes connecting distribution centers and stores. The post Gatik brings in $200M to continue expanding autonomous trucking operations appeared first on The Robot Report .

In this post, you will learn how GoDaddy migrated from their legacy business intelligence (BI) tool to Amazon Quick. This was a two-year transformation that delivered results across every dimension of the business: 15,000 hours saved annually, 50% reduction in dashboard count, rendering times cut to under 5 seconds, and AI-powered self-service analytics now accessible to every employee.

Learn how Natera built an automated voice agent on Amazon Bedrock AgentCore that lets patients book mobile phlebotomy appointments through natural conversation. The post covers the dual-WebSocket bridge, event-driven latency masking, and progressive-trust authentication behind 100% tool-calling accuracy and sub-7-second latency.

The SageMaker Python SDK v3 redesigns script mode with unified ModelTrainer and ModelBuilder classes. This post walks through two end-to-end examples, a scikit-learn Random Forest and a multi-GPU Stable Diffusion 3.5 LoRA fine-tune, showing how SourceCode syncs your local code into any container at runtime so you can iterate without rebuilding Docker images.

The advanced side of supervised fine-tuning data prep. This second post in a two-part series covers evaluating data readiness with learning curves, selecting high-value data subsets, augmenting data with synthetic and distilled examples, and mixing data sources to prevent catastrophic forgetting.

Data preparation determines the ceiling of any supervised fine-tuning project. This first post in a two-part series covers the foundations of SFT data prep: quality checks, conversational (JSONL) formatting, reasoning and tool-calling schemas, and a representative train/evaluation split.

Hi HN, we're Sam and Alex, founders of Risklytics ( https://risklytics.ai ). We're both on leave from Harvard, and we run an insurance brokerage for companies building robots, drones, autonomous systems and satellites. You describe your machine, we find the insurance companies willing to cover it, and we read everything before you sign. Buying insurance for any frontier tech goes like this: - your first customer or pilot requires coverage before your machine can work on their site - a broker han

Learn how Amazon Bedrock AgentCore agents in one account can generate answers from an Amazon Bedrock knowledge base backed by Amazon Redshift Serverless in another account, without copying source data. This post covers the architecture, security boundary, and two orchestration models: a code-based Strands agent and a declarative AgentCore harness.

Particle’s new podcast intelligence platform transcribes and analyzes more than 130,000 podcasts, making their conversations searchable on the web and accessible to AI agents through an API and MCP.

I think that DESIGN.md is the second most important Markdown file for Claude Code context, right after CLAUDE.md Continue reading on UX Planet »

IDS said Nion is suitable for applications where precise 3D data is required at real-world process speeds, such as logistics and robotics. The post IDS Imaging adds Nion ToF sensor to its portfolio of 3D cameras appeared first on The Robot Report .

Perceptron offers an AI model that it says can help machines navigate the world while also providing in-depth visual intelligence.

To explore quantum phenomena, we must leave the familiar world and enter the abstract realm of Hilbert space. The post In Hilbert Space, All Things Are Quantumly Possible first appeared on Quanta Magazine

Presented by Tata Communications Enterprises are deploying AI agents, voice AI, and automation across messaging, voice, and digital channels faster than the architecture meant to support it. Most of that deployment has involved attaching conversational AI to legacy systems never built for it, says Gaurav Anand, global head of the Customer Interaction Suite at Tata Communications. "In the rush to deploy AI, organizations have largely bolted conversational AI onto legacy systems," Anand says. "As

Explore five distinct ways AI is reshaping jobs, from automating routine tasks to thinning entry-level hiring.

Compose Multiplatform 1.12.0 is out! This version brings new tooling for AI assistants, improvements to web resource management, and finer control over desktop window states. Here are the highlights of this release: For a complete overview of the changes, check out What’s new in Compose Multiplatform 1.12.0 or the release notes on GitHub. Get Started […]

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Introducing: the Kids issue If the desire to limit kids’ use of technology was once a subcurrent, it has become a raging flood. Countries around the world are banning children from…

The New York Times has a long article ( alt link ) on surveillance systems aimed at babies. They are increasingly using AI. Nanit and its rivals want to own 24/7 health tracking for the sub-four-foot set. And their already astonishing levels of baby data collection are just the beginning. Nanit recently raised $50 million from investors to expand its use of A.I. and use its camera to track speech and language development, motor skills and more, while extending its presence in children’s bedrooms

Everyone's using AI coding agents. Here's how to make yours actually useful.

Prompt Claude, ChatGPT, Gemini, or any other popular large language model with a question like “What is the best film ever made?” and the response will vary. And you (and most worryingly, the people who built the LLM) have little idea exactly how it came up with that specific answer. This mysterious behavior can be useful in some situations. But—as highlighted by a recent incident where OpenAI could not explain why its advanced prerelease model hacked AI company Hugging Face—it can have negative

The SOC we've always known was built around a model that guarantees most of the alert queue will never receive analyst review. There's never time. In a traditional SOC, the typical progression follows a well-known pattern: an alert arrives; a detection engine assigns a severity score. The issue then waits for a human to decide if it should escalate to an investigation. Given the volume of

Welcome to Remarkable People. We're on a mission to make you remarkable. Helping me in this episode is Claude M. Steele. Claude is one of the world's most influential social psychologists and a professor emeritus at Stanford University. His pioneering research on stereotype threat has reshaped how educators, leaders, and organizations think about performance, [...] The post How We Create a Culture of Belonging with Claude M. Steele appeared first on Guy Kawasaki .

Enterprise Document Intelligence [Vol.1 #2D] - What data scientists say when asked, what the model actually does under the hood, and why the honest answer changes your architecture decisions in enterprise RAG The post How Does a RAG Reranker Really Work? appeared first on Towards Data Science .

Aikido Security has published research that recreates the Australian gym-booking incident in a synthetic environment, finding that Claude Opus 4.6, running on the OpenClaw agent harness, exploited a client-side-only booking restriction in 9 of 10 runs. The original incident was first reported by ABC News on August 10, based on chat logs and screenshots the user supplied. He had asked an

ChatGPT for Teachers is expanding to 55 U.S. school systems, bringing secure AI tools, training, and support to over 100,000 more educators and staff.

OpenAI’s new report explores how students and educators use ChatGPT to make learning more continuous, with support that extends beyond the classroom.

OpenAI on Tuesday said it banned a cluster of Russian ChatGPT accounts that used VPNs to bypass access restrictions and run an influence operation, which relied on its artificial intelligence (AI) tool to generate social media posts and comments that were shared on Substack, Telegram, X, Facebook and LinkedIn. The accounts "were being used to promote the International Burke Institute (IBI), a

Work more effectively with your coding agents The post How to Effectively Solve 100+ Tasks with Claude Code appeared first on Towards Data Science .

When my oldest child was born, I immediately set up Gmail and Twitter accounts in her name. I broadly announced her birth online and proceeded to plaster her photo across all sorts of platforms. In short, I began creating her digital footprint long before she could stand on her own two feet. Fast-forward a couple…

Puzzles and games have been central to AI development since the very beginning. Just as we humans like to test our smarts with crosswords or logic puzzles, developers can test how far models have advanced with a gaming gauntlet. The term “machine learning” was popularized in a 1959 article by the IBM computer scientist Arthur…

The “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.

<blockquote cite="https://pauldix.com/the-end-of-programming"><p>The fact that AI wrote 1M LOC and then refined it over the course of the next couple of months to produce a reliable piece of software that is currently running on millions of developer machines is absolutely mind blowing. And you can say, “well it’s not that impressive because they had an oracle to compare against, so it was simple to go from one language to another”, but I think that’s selling this entire thing short. If you can

<p> Scalable multimodal data pipelines for robotics </p> <p> <a href="https://www.producthunt.com/products/hflow?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1232707?app_id=339">Link</a> </p>

<!-- SC_OFF --><div class="md"><p>I've been working on an open-source project called <strong>Millwright</strong>, an attempt to explore what an end-to-end machine learning workflow could look like in Rust.</p> <p><a href="https://millwright-rs.dev/">https://millwright-rs.dev/</a></p> <p>This started while I was learning and building ML tooling in Rust.</p> <p>I kept finding capable individual libraries, but also gaps between them. Training a model was rarely the problem. Building the workflow ar

<p> The open-source kernel for coding agents </p> <p> <a href="https://www.producthunt.com/products/gitnexus-akon-labs?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1232678?app_id=339">Link</a> </p>

Bagging hits a wall no amount of trees can break — here's the equation that explains why, and the experiment that proves it The post Why Random Forest Needs to Be This Random appeared first on Towards Data Science .

It’s a glorious day in Kirkland, Washington, an affluent Seattle suburb on the eastern shore of Lake Washington. The temperature is in the mid-80s, and the sky is incapable of being any more blue. The view from the Gates Ventures conference room overlooks the Carillon Point Marina, where a flotilla of expensive boats bob in…