DTM: New Hardware Architecture Reduces Energy Consumption by 10,000x Compared to GPUs

1 November 2025

DTM: New Hardware Architecture Reduces Energy Consumption by 10,000x Compared to GPUs

Researchers from Extropic Corporation presented an efficient hardware architecture for probabilistic computing based on Denoising Thermodynamic Models (DTM). Analysis shows that devices based on this architecture could achieve performance parity…

Mabl: Mobile App Testing Made Easy with AI

28 April 2024
mabl testing

Mabl: Mobile App Testing Made Easy with AI

Mabl, the testing automation platform, has announced the launch of its AI-powered service for mobile app testing. With this service, developers can create tests for iOS and Android apps covering…

Prithvi: NASA Model and Dataset for Ecological Phenomena Analysis

6 August 2023
prithvi

Prithvi: NASA Model and Dataset for Ecological Phenomena Analysis

NASA and IBM have unveiled the open-source model Prithvi, designed to empower scientists in tracking the consequences of climate change, monitoring deforestation, predicting agricultural crop yields, and analyzing greenhouse gas…

Vision Outlooker architecture sets a record for image classification accuracy without pre-training

27 June 2021

Vision Outlooker architecture sets a record for image classification accuracy without pre-training

Vision Outlooker (VOLO) is a variation of the Vision Transformer architecture. Designed to reduce reliance on additional training data, VOLO reached a record 87.1% on ImageNet without pre-training. The code…

Neural network generates photo captions for people with vision problems

17 February 2021

Neural network generates photo captions for people with vision problems

A neural network from Facebook AI generates descriptions for photos for users with vision problems. The app uses object recognition to generate textual descriptions of the image. It makes the…

VGG16 – Convolutional Network for Classification and Detection

20 November 2018
vgg16

VGG16 – Convolutional Network for Classification and Detection

VGG16 is a convolutional neural network model proposed by K. Simonyan and A. Zisserman from the University of Oxford in the paper “Very Deep Convolutional Networks for Large-Scale Image Recognition”.…

AlexNet – ImageNet Classification with Deep Convolutional Neural Networks

29 October 2018

AlexNet – ImageNet Classification with Deep Convolutional Neural Networks

AlexNet is the name of a convolutional neural network which has had a large impact on the field of machine learning, specifically in the application of deep learning to machine vision. It famously won the…