Machine Learning

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A Coding Implementation to Training, Optimizing, Evaluating, and Interpreting Knowledge Graph Embeddings with PyKEEN

ai, AI (Artificial Intelligence), AI Shorts, Applications, Artificial Intelligence, Editors Pick, Knowledge Graphs, Machine Learning, Staff, Technology

In this tutorial, we walk through an end-to-end, advanced workflow for knowledge graph embeddings using PyKEEN, actively exploring how modern embedding models are trained, evaluated, optimized, and interpreted in practice. We start by understanding the structure of a real knowledge graph dataset, then systematically train and compare multiple embedding models, tune their hyperparameters, and analyze […]

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Developers say AI coding tools work—and that’s precisely what worries them

ai, AI (Artificial Intelligence), AI Agents, AI and work, AI coding, anthropic, Artificial Intelligence, Biz & IT, claude, Claude Code, GitHub Copilot, Large Language Models, Machine Learning, Microsoft, OpenAI, openai codex, Programming, software development, vibe coding

Software developers have spent the past two years watching AI coding tools evolve from advanced autocomplete into something that can, in some cases, build entire applications from a text prompt. Tools like Anthropic’s Claude Code and OpenAI’s Codex can now work on software projects for hours at a time, writing code, running tests, and, with

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A Coding Deep Dive into Differentiable Computer Vision with Kornia Using Geometry Optimization, LoFTR Matching, and GPU Augmentations

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We implement an advanced, end-to-end Kornia tutorial and demonstrate how modern, differentiable computer vision can be built entirely in PyTorch. We start by constructing GPU-accelerated, synchronized augmentation pipelines for images, masks, and keypoints, then move into differentiable geometry by optimizing a homography directly through gradient descent. We also show how learned feature matching with LoFTR

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Ant Group Releases LingBot-VLA, A Vision Language Action Foundation Model For Real World Robot Manipulation

agentic ai, ai, AI (Artificial Intelligence), AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Machine Learning, New Releases, Open Source, physical ai, Robotics, Staff, Tech News, Technology, Uncategorized, Vision Language Model

How do you build a single vision language action model that can control many different dual arm robots in the real world? LingBot-VLA is Ant Group Robbyant’s new Vision Language Action foundation model that targets practical robot manipulation in the real world. It is trained on about 20,000 hours of teleoperated bimanual data collected from 9

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New OpenAI tool renews fears that “AI slop” will overwhelm scientific research

Academic publishing, ai, AI (Artificial Intelligence), AI assistants, ai slop, AI writing, Artificial Intelligence, Cambridge University Press, cornell university, GPT-5, Kevin Weil, Large Language Models, Machine Learning, OpenAI, peer review, Science, Science journal, scientific research, Yian Yin

On Tuesday, OpenAI released a free AI-powered workspace for scientists. It’s called Prism, and it has drawn immediate skepticism from researchers who fear the tool will accelerate the already overwhelming flood of low-quality papers into scientific journals. The launch coincides with growing alarm among publishers about what many are calling “AI slop” in academic publishing.

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Does Anthropic believe its AI is conscious, or is that just what it wants Claude to think?

ai, AI (Artificial Intelligence), AI alignment, AI anthropomorphism, AI behavior, AI consciousness, AI Ethics, AI psychosis, AI sycophancy, AI welfare, Amanda Askell, anthropic, Anthropic Claude, Artificial Intelligence, Biz & IT, chatbots, claude, Constitutional AI, Dario Amodei, Features, Large Language Models, Machine Learning, rlhf

Anthropic’s secret to building a better AI assistant might be treating Claude like it has a soul—whether or not anyone actually believes that’s true. But Anthropic isn’t saying exactly what it believes either way. Last week, Anthropic released what it calls Claude’s Constitution, a 30,000-word document outlining the company’s vision for how its AI assistant

Does Anthropic believe its AI is conscious, or is that just what it wants Claude to think? Read More »

Google DeepMind Unveils AlphaGenome: A Unified Sequence-to-Function Model Using Hybrid Transformers and U-Nets to Decode the Human Genome

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Google DeepMind is expanding its biological toolkit beyond the world of protein folding. After the success of AlphaFold, the Google’s research team has introduced AlphaGenome. This is a unified deep learning model designed for sequence to function genomics. This represents a major shift in how we model the human genome. AlphaGenome does not treat DNA

Google DeepMind Unveils AlphaGenome: A Unified Sequence-to-Function Model Using Hybrid Transformers and U-Nets to Decode the Human Genome Read More »

MBZUAI Releases K2 Think V2: A Fully Sovereign 70B Reasoning Model For Math, Code, And Science

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Can a fully sovereign open reasoning model match state of the art systems when every part of its training pipeline is transparent. Researchers from Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) release K2 Think V2, a fully sovereign reasoning model designed to test how far open and fully documented pipelines can push long horizon

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Report: China approves import of high-end Nvidia AI chips after weeks of uncertainty

ai, AI (Artificial Intelligence), AI chips, AI GPU, AI Infrastructure, Alibaba, Artificial Intelligence, Biz & IT, bytedance, china, datacenters, Jensen Huang, Machine Learning, nvidia, semiconductors, Tencent, US-China relations

On Wednesday, China approved imports of Nvidia’s H200 artificial intelligence chips for three of its largest technology companies, Reuters reported. ByteDance, Alibaba, and Tencent received approval to purchase more than 400,000 H200 chips in total, marking a shift in Beijing’s stance after weeks of holding up shipments despite US export clearance. The move follows Beijing’s

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Top 10 Python Libraries for AI and Machine Learning

ai, AI (Artificial Intelligence), Artificial Intelligence, Beginner, Listicle, Machine Learning

Python dominates AI and machine learning for one simple reason: its ecosystem is amazing. Most projects are built on a small set of libraries that handle everything from data loading to deep learning at scale. Knowing these libraries makes the entire development process fast and easy. Let’s break them down in a practical order. Starting

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