Rohan Arni, 17, used AI to analyse mysterious radio flashes from space; his model classified repeating and non-repeating bursts with 98% accuracy

A 17-year-old student has used artificial intelligence to investigate mysterious flashes of radio waves travelling across ...
phoronix.com

PyTorch 2.10 Released With More Improvements For AMD ROCm & Intel GPUs

PyTorch 2.10 is out today as the latest feature update to this widely-used deep learning library. The new PyTorch release continues improving support for Intel GPUs as well as for the AMD ROCm compute ...
Reuters

Google works to erode Nvidia's software advantage with Meta's help

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...
letsdatascience

Let's Data Science

An autoencoder trained on representative normal data learns to reconstruct that distribution. Inputs that differ materially from its training examples can produce ...
Scientific Research Publishing

An, J. and Cho, S. (2015) Variational Autoencoder Based Anomaly Detection Using Reconstruction Probability. Special Lecture on IE, 2, 1-18.

ABSTRACT: Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera ...
Yahoo Finance

Merck & Co., Inc. (MRK) Partners with Variational AI to leverage AI in Enhancing Drug Development

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FierceBiotech

Merck inks $349M biobucks deal to apply AI to challenging targets

Merck & Co. has doubled down on its partnership with Variational AI, striking a deal worth up to $349 million to collaborate on small molecule candidates against two targets. Variational disclosed a ...