The Pelican comparison grid for Astra is pretty interesting
The Pelican comparison grid for Astra is pretty interesting 4th September 2026 I got access to GPT-6 Astra this afternoon, so naturally I used it to generate SVGs of pelicans…
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Deploy a multimodal WhatsApp ordering assistant with Amazon Bedrock AgentCore
This post shows how to deploy a multimodal WhatsApp ordering assistant built with Amazon Bedrock AgentCore and Amazon Nova 2. Many quick-service restaurants spread ordering across an app, a website,…
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What Kind of Chief Purpose Officer Does Your Company Need?
Rob Dobi The Research The authors identified 56 individuals with purpose leadership roles who were representative of a variety of industries, company sizes, and regions. Of the CPOs interviewed, 60%…
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Train YOLO26 on a Custom Dataset with YOLOE-26 Auto-Labeling
Access the code to this tutorial and all other 500+ tutorials on PyImageSearch Enter your email address below to learn more about PyImageSearch University (including how…
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Our most advanced global weather AI model
Real-world data at continuous global scale WeatherNext 3’s biggest leap forward is what it learns from. Most AI weather models, including WeatherNext 2, are trained on data from numerical weather…
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PyTorch 2.14 Release Blog – PyTorch
Featured projects We are excited to announce the release of PyTorch® 2.14 (release notes)! The PyTorch 2.14 release features the following changes: NVGEMM brings CuTeDSL-generated CUTLASS kernels to Inductor, with…
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Boston Scientific recall of spinal cord stimulator leads tied to more than 1,000 injuries
Listen to the article 3 min This audio is auto-generated. Please let us know if you have feedback. Dive Brief: Boston Scientific is recalling Infinion CX leads used with its…
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Anthropic uses Claude to formalize proof of Fermat’s Last Theorem
Anthropic PBC has used Claude to create a computer-verifiable version of a famous, highly complicated mathematical proof. The company detailed the project in a blog post published today. A proof…
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Why Transformers Need Positional Encoding For Time Series: A Visual Guide
While digging into foundation models for time series, I realized that I could not really understand them without first understanding transformers. I did not want to use these models as…
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an efficient Multimodal-native and Multilingual Encoder
TL;DR We introduce NeoMME, a family of 260M and 800M multilingual multimodal encoders. Unlike many generative visual language models, NeoMME does not use a separate pretrained vision tower or a…
