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Why one-hot encoding isn’t always the best approach, and alternative encodings The post Encoding Categorical Data for Outlier Detection appeared first on Towards Data Science.
Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe. Subscribe now AI can decisively out-persuade humans:…“AI systems were reliably more persuasive than expert humans”…Researchers with
The intuition behind neural networks and why they need activation functions. The post Neural Networks, Explained for Beginners: Start Here If They’ve Confused You appeared first on Towards Data Science.
ML system design interviews test how well you can think beyond models. In these interviews, choosing an algorithm is only one part of the answer. You also need to explain how data is collected, how features are created, how predictions are served, and how the system improves over time. Most real ML
(c) SANS Internet Storm Center. https://isc.sans.edu Creative Commons Attribution-Noncommercial 3.0 United States License.
Cloudflare is deepening our investment in AI with the addition of team members from Ensemble AI, focusing on machine learning infrastructure and efficiency.
Researchers at the University of Toronto have built a worm that thinks for itself. Using free off-the-shelf AI models it works out how to break into each new computer it encounters, and hijacks the powerful ones to host its own AI brain. And then the researchers discovered their creation had quietly
AI agents are software systems that can perceive their environment, reason through a problem, and take action to complete a goal, all without you clicking a button for every step. If you’re a developer or freelancer trying to understand what everyone in tech is talking about, you’re in the right pla
This is a submission for the GitHub Finish-Up-A-Thon Challenge What I Built One of the projects I built while learning Machine Learning was a Battery Drain Predictor using Linear Regression. The goal was to explore how machine learning can be used to estimate battery drain patterns based on usage da
Open Lovable, v0, or Bolt. Describe an app. Hit generate. In thirty seconds you have a working UI — cards with rounded corners, a sidebar with icons, a dashboard with soft shadows, a color palette that feels vaguely familiar. It works. It's clean. It's perfectly... fine. And that's exactly the probl
Alibaba this week released Qwen3.7-Plus, the latest AI large language model (LLM) in its globally beloved and increasingly expansive Qwen family, boasting more multimodal capabilities and a 60% lower cost than the prior, text-only Qwen3.7-Max model released just weeks ago. However, like its immediat
Today, Microsoft Build brought the announcement of Project Solara, a new chip-to-cloud platform for AI agents. With the reveal, Microsoft CEO Satya Nadella shared an interesting quote on the company’s vision for an agent-first computing future. more…
This is an honest comparison from someone who runs GPU containers in production daily. Both Docker and Podman are excellent container runtimes. But for AI/ML infrastructure in 2026, Docker has pulled ahead in ways that matter if you're building inference services, training pipelines, or agentic AI w
If you write code for research, you've felt this: there's almost certainly a model for your problem, but finding the maintained one means wading through abandoned repos, broken Colab notebooks, and demos that 404. The existence question is solved. ML now touches structure prediction, materials scree
Palo Alto Networks warns that advanced AI-powered cyberattacks could become widely accessible within months, significantly lowering the barrier for sophisticated attacks. The company's CIO highlights AI's ability to identify and chain vulnerabilities at scale, urging enterprises to rapidly assess in
AI agents are getting smarter fast. They can reason through tasks, manage workflows, call tools, and automate decisions across applications. But as these systems become more capable, one challenge becomes impossible to ignore: reliability. How do you know your AI agent is making the right decisions
Agent Skill is already one of the most widely accepted practices in AI Agent engineering: encapsulating repeatable tasks into capability packages that are discoverable, callable, and injectable into context. This is certainly valuable. Diagnosing bugs can be a skill. Reviewing code can be a skill. G
This is a submission for the GitHub Finish-Up-A-Thon Challenge. I published an AI memory result. Then I added real retrieval and everything broke. This is what I built after I went back and finished it. The AI Memory Judgment Demo is a public research framework for testing whether AI agent memory ca
It's better in all the ways I needed local AI to be better
Alright, I run my agents in YOLO mode. And instead of waking up braced for a disaster, I sleep fine. I didn’t fix it by making the agent careful. You can’t trust a careful agent. The fix is at the architecture level, not “please, don’t make a mistake.” The agent can be fully compromised, actively ma
