Supervisor SHUTS DOWN The Post Office Instead Of Following The Law!
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Robots that spare warehouse workers the heavy lifting
There are some jobs human bodies just weren’t meant to do. Unloading trucks and shipping containers is a repetitive, grueling task — and a big reason warehouse injury rates are more than twice the national average. The Pickle Robot Company wants its machines to do the heavy lifting. The company’s one-armed robots autonomously unload trailers, picking up boxes weighing up to 50 pounds and placing them onto onboard conveyor belts for warehouses of all types. The company name, […]
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Stay Ahead of AI Risks – Free Live Session for Tech Leaders
Exclusive working session about trustworthy AI, for senior tech leaders. View PowerPoint presentation, here. AI isn’t slowing down, but poorly planned AI adoption will slow you down. Hallucinations, security risks, bloated compute costs, and “black box” outputs are already tripping up top teams, burning budgets, and eroding trust. That’s why this session blends three things you can’t get from a typical AI webinar: Practical expertise: GenAI pioneer Vincent Granville will share a real-world framework for deploying hallucination-free, secure, and […]
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Why Cursor’s CEO believes OpenAI, Anthropic competition won’t crush his startup
After reaching $1 billion in annualized revenue, Anysphere CEO Michael Truell explained the features his company is focused on building out.
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AI system learns from many types of scientific information and runs experiments to discover new materials
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables. Compare that with human scientists, who work in a collaborative environment and consider experimental results, the broader scientific literature, imaging and structural analysis, personal experience or intuition, and input from colleagues and peer reviewers. Now, MIT researchers have developed a method for optimizing materials recipes and planning experiments […]
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Teaching robots to map large environments
A robot searching for workers trapped in a partially collapsed mine shaft must rapidly generate a map of the scene and identify its location within that scene as it navigates the treacherous terrain. Researchers have recently started building powerful machine-learning models to perform this complex task using only images from the robot’s onboard cameras, but even the best models can only process a few images at a time. In a real-world disaster where every second counts, a search-and-rescue […]
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WW-PGD: Projected Gradient Descent optimizer
Announcing: 𝗪𝗪-𝗣𝗚𝗗 — 𝗪𝗲𝗶𝗴𝗵𝘁𝗪𝗮𝘁𝗰𝗵𝗲𝗿 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝗲𝗱 𝗚𝗿𝗮𝗱𝗶𝗲𝗻𝘁 𝗗𝗲𝘀𝗰𝗲𝗻𝘁 I just released WW-PGD, a small PyTorch add-on that wraps standard optimizers (SGD, Adam, AdamW, etc.) and applies an epoch-boundary spectral projection using WeightWatcher diagnostics. Elevator pitch: WW-PGD explicitly nudges each layer toward the Exact Renormalization Group (ERG) critical manifold during training. 𝗧𝗵𝗲𝗼𝗿𝘆 𝗶𝗻 𝘀𝗵𝗼𝗿𝘁 • HTSR critical condition: α ≈ 2 • SETOL ERG condition: trace-log(λ) over the spectral tail = 0 WW-PGD makes these explicit optimization targets, rather than […]
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The UK Has It Wrong on Digital ID. Here’s Why.
In late September, the United Kingdom’s Prime Minister Keir Starmer announced his government’s plans to introduce a new digital ID scheme in the country to take effect before the end of the Parliament (no later than August 2029). The scheme will, according to the Prime Minister, “cut the faff” in proving people’s identities by creating a virtual ID on personal devices with information like people’s name, date of birth, nationality or residency status, and photo to verify their […]
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New algorithms enable efficient machine learning with symmetric data
If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science parlance, the molecule is “symmetric,” meaning the fundamental structure of that molecule remains the same if it undergoes certain transformations, like rotation. If a drug discovery model doesn’t understand symmetry, it could make inaccurate predictions about molecular properties. But despite some empirical […]
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