We’re happy to have TDK SensEI supporting IIoT World Energy Day 2026 as a sponsor.
They’re bringing a practical look at energy infrastructure to the event. CPO Sundeep Ahluwalia will be breaking down how moving AI to the edge helps operators anticipate equipment failure and keep
MACHINE LEARNING
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TDK SensEI Brings Edge AI to Energy Infrastructure
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Improving Deep Agents Performance Through Harness Engineering
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Improving Deep Agents with harness engineering Our coding agent went from Top 30 to Top 5 on Terminal Bench 2.0. We only changed the harness. The goal of a harness is to mold the inherently spiky intelligence of a model for tasks we care about. Harness Engineering is about
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Why AI adoption is uniquely favorable in software development
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Coding is a uniquely favorable domain for AI because it's verifiable, it has lots of data, AI researchers know it well, and coders are extremely receptive. I wouldn't jump to conclusions about other domains from it.
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AI Applications in Rare Disease and Cancer Diagnosis
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Any evidence?
I guess you haven't followed the field for diagnosis of people with rare diseases, cancer (risk and treatment), rapid neonatal sequencing for sick babies, diagnostic workup for developmental disorders, and many other areas -

Unified Latents: DeepMind’s Automatic Latent Information Training
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now trending on alphaXiv "Unified Latents (UL): How to train your latents" in latent diffusion you’re choosing how much information the latent should carry, and there’s no automatic “right” setting. But in this DeepMind paper, they showed that you don't have to guess
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SwingArena: AI Models Evaluated on Real Software Engineering Tasks
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Can AI models handle the complexity of real-world software engineering beyond simple code snippets? Researchers from HKU, UCLA, LMSYS Org, and several global institutions just released SwingArena. It is a competitive evaluation framework that mimics a professional development
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Human neurons fire similarly to synthetic neural network neurons
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you know human neurons fire the same way neural networks synthetic neurons fire right?
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Neural net learns like humans, comments miss the point
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yes read the comments, all of a sudden it’s fine. they don’t understand a neural net learns similar to how we learn, therefor they are not keeping up
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Graph Machine Learning 2nd Edition with PyTorch Geometric Techniques
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2nd Edition — now at http://
amzn.to/45Y3LyI v/ @PacktDataML Graph Machine Learning — Latest advancements in Graph Data to build robust #MachineLearning algorithms 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Master new graph ML techniques through updated examples using PyTorch Geometric and