May 2026

Cost effective deployment of vision-language models for pet behavior detection on AWS Inferentia2

Cost effective deployment of vision-language models for pet behavior detection on AWS Inferentia2

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Tomofun, the Taiwan-headquartered pet-tech startup behind the Furbo Pet Camera, is redefining how pet owners interact with their pets remotely. Furbo combines smart cameras with AI to detect behaviors such as barking, running, or unusual activity, and alerts owners in real time. At the core of this capability are computer vision and vision-language models that interpret pet actions from the video streams. Originally, Furbo’s inference workloads were hosted on GPU-based Amazon Elastic Compute Cloud (Amazon EC2) instances. While […]

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HP and the art of AI and data for the enterprise

HP and the art of AI and data for the enterprise

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Ahead of the AI & Big Data Expo at the San Jose McEnery Convention Center, May 18-19, we spoke to Jerome Gabryszewski, the company’s AI & Data Science Business Development Manager about AI, processing data for AI ingestion, and local versus cloud compute. The technology media is fond of quoting that data is ‘the new oil’, but the reality on the ground is that, despite having access to plenty of first-party information, actually leveraging it to the business’s […]

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Q-learning algorithm implemented in ARMv7 Assembly

Q-learning algorithm implemented in ARMv7 Assembly

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For fun I decided to write an implementation of tabular Q-learning algorithm in assembly. It just solves an easy 8×8 grid world as anything more than that would’ve been very difficult for me to implement in assembly. Repo Link: https://github.com/unexploredtest/AsmRL https://i.redd.it/uq650tpl4jzg1.gif submitted by /u/unexploredtest [link] [comments]

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Vibe coding and agentic engineering are getting closer than I’d like

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I recently talked with Joseph Ruscio about AI coding tools for Heavybit’s High Leverage podcast: Ep. #9, The AI Coding Paradigm Shift with Simon Willison. Here are some of my highlights, including my disturbing realization that vibe coding and agentic engineering have started to converge in my own work. One thing I really enjoy about podcasts is that they sometimes push me to think out loud in a way that exposes an idea I’ve not previously been able […]

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ChatterBot: Build a Chatbot With Python

ChatterBot: Build a Chatbot With Python

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The Python ChatterBot library lets you build a self-learning command-line chatbot with just a few lines of code. You’ll set up a basic bot, clean real WhatsApp conversation data with regular expressions, and train your chatbot on that custom corpus. You’ll also plug in a local LLM through Ollama to augment its replies with contextual knowledge. By the end of this tutorial, you’ll understand that: ChatterBot is a Python library that combines text processing, machine learning, and a […]

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MORL: How to deal with global rewards and reward shaping to incentivize the desired result?

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I’m trying to create a cooperative multi-agent game, where agents have to work together to complete a game. The goal is to finish the game as fast as possible (minimizing time) and to maximize the game score. The game has intermediate subgoals. Currently, I am running episodes to complete a game. My reward structure is a scalar with weights: R = w1*time + w2*score + shaped rewards, where w1+w2 = 1. My struggle is how to deal with […]

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Navigating uncertainty in Amazon's middle-mile network

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Before the “last mile” delivery driver sets off for your home, your Amazon item has moved through the middle-mile network of fulfillment centers and sort centers, which brings products close enough to customers to make our same-day or next-day shipping promises possible. For years, Amazon engineers and scientists have been pushing computational boundaries to optimize this network under uncertainty, and that push has accelerated as the network has grown more complex. What happens when a huge snowstorm closes […]

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US government increases AI suppliers and rethinks Anthropic’s role

US government increases AI suppliers and rethinks Anthropic’s role

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The US administration has added four more AI companies to its roster of favoured suppliers, with the Pentagon signing agreements with Microsoft, Reflection AI (which has yet to release a publicly-available model), Amazon, and Nvidia that mean their products can be used on classified operations. The companies join OpenAI, xAI, and Google as companies that the Department for Defense can deploy “for any lawful use.” The phrase “any lawful use” formed the centre of the recent disagreement between […]

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Quiz: How to Use OpenCode for AI-Assisted Python Coding

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In this quiz, you’ll test your understanding of How to Use OpenCode for AI-Assisted Python Coding. By working through these questions, you’ll revisit how to install OpenCode, connect it to an AI provider, configure project context with AGENTS.md, and take advantage of features like mid-session model switching and built-in language servers. If you’d like a broader look at AI-assisted Python development, you can also follow the Python Coding With AI learning path. [ Improve Your Python With 🐍 […]

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Quiz: Python & APIs: A Winning Combo for Reading Public Data

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In this quiz, you’ll test your understanding of Python & APIs: A Winning Combo for Reading Public Data. By working through this quiz, you’ll revisit how APIs send requests and responses, how the requests library works, what status codes and headers mean, and how to handle authentication, pagination, and rate limits in your own code. Good luck! [ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox […]

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