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Google Torch TPU enables native Py Torch AI execution
1+ hour, 19+ min ago (745+ words) Google has launched Torch TPU, an engineering stack enabling Py Torch workloads to run natively on TPU infrastructure for enterprise AI. The machine learning talent pool almost universally writes code in Python using the Py Torch framework. However, extracting maximum…...
Faster Process Development via "Transfer Learning
1+ day, 28+ min ago (540+ words) By Gareth John Macdonald Credit: Robert Essel NYC/ Getty Images An emerging artificial intelligence technique called "transfer learning" could help drug makers use data to speed up the development of biopharmaceutical manufacturing processes, according to new analysis. In transfer learning,…...
Google open-sources Torch TPU, a native Py Torch backend
1+ day, 2+ hour ago (185+ words) Switching off NVIDIA AI infra could be a lot easier with Google's new Py Torch backend. Google has officially confirmed and detailed its "Torch TPU" project, first reported back in December, that gives its TPU chips a native, open-source Py…...
Py Torch Foundation adds Helion and Safetensors - and the open AI stack gets a little harder to ignore
1+ day, 6+ hour ago (510+ words) To understand why Helion matters, it helps to know how GPU programming actually works - because it is considerably more involved than most people realize. Above the kernel layer sits Triton, a compiler developed by Open AI that makes it possible…...
Hugging Face Contributes Safetensors To Py Torch Foundation To Secure AI Model Execution
1+ day, 6+ hour ago (391+ words) Announced today from the Py Torch Conference EU in Paris is word that Hugging Face has contributed their Safetensors project to the Py Torch Foundation, which is an umbrella organization under the Linux Foundation for hosting AI initiatives. Safetensors aims…...
Py Torch Foundation Announces Safetensors as Newest Contributed Project to Secure AI Model Execution
1+ day, 9+ hour ago (174+ words) Apr 08, 2026, 03: 00 ET Safetensors is welcomed into the Py Torch Foundation to secure model distribution and build trusted agentic solutions As AI model development accelerates, security risks in the production pipeline inherently increase, necessitating secure, high-performance formats that can keep pace…...
Senior / Lead Machine Learning Engineer, Serving - Serbia
1+ day, 14+ hour ago (357+ words) Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. Who We're Looking For A year ago, reliably working agentic…...
Torch TPU: Running Py Torch Natively on TPUs at Google Scale
1+ day, 20+ hour ago (706+ words) The challenges of building for modern AI infrastructure have fundamentally shifted. The modern frontier of machine learning now requires leveraging distributed systems, spanning thousands of accelerators. As models scale to run on clusters of O(100, 000) chips, the software that powers…...
Curating AI Training Data for Domain-Specific and Regulated Applications
3+ day, 5+ hour ago (287+ words) General-purpose datasets reflect broad language patterns but fail to capture the nuance of specialized environments. In regulated sectors, terminology carries legal and operational meaning. Ambiguity is not acceptable, and hallucination risk must be constrained before deployment. Curated datasets must be…...
Right Now AI Releases Auto Kernel: An Open-Source Framework that Applies an Autonomous Agent Loop to GPU Kernel Optimization for Arbitrary Py Torch Models
3+ day, 8+ hour ago (393+ words) Writing fast GPU code is one of the most grueling specializations in machine learning engineering. Researchers from Right Now AI want to automate it entirely. The Right Now AI research team has released Auto Kernel, an open-source framework that applies…...
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