LCM-LoRA: Real-Time Image Generation Neural Network

19 November 2023

LCM-LoRA: Real-Time Image Generation Neural Network

Researchers at Tsinghua University have developed the LCM-LoRA algorithm, revolutionizing real-time image generation from text descriptions or sketches. Consequently, this technology marks a significant advancement in the field. Popular text-to-image…

NVIDIA Eureka: Agent for Autonomous Robot Learning

22 October 2023

NVIDIA Eureka: Agent for Autonomous Robot Learning

NVIDIA has unveiled Eureka, an open-source agent based on GPT-4, designed to teach robots complex skills such as performing tricks and handling scissors. This breakthrough leverages the power of large…

Google Introduces Image Generation in Search

15 October 2023
google generative search

Google Introduces Image Generation in Search

Google has announced the integration of image generation in search results based on descriptions and several other AI features. Furthermore, this tool is built on the Imagen model and allows…

MIT Researchers Utilize Neural Network for Remote Diagnosis of Neurological Disorders

17 September 2023
нейросеть удаленно диагностирует неврологические расстройства

MIT Researchers Utilize Neural Network for Remote Diagnosis of Neurological Disorders

Scientists at MIT have developed a neural network that analyzes video recordings of patients with motor or neurological disorders and assesses their clinical condition in real time. This tool operates…

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…

PIGINet: Generating Optimal Sequence of Robot Actions

30 July 2023
robotic tasks piginet

PIGINet: Generating Optimal Sequence of Robot Actions

MIT researchers have introduced PIGINet, a neural network designed to teach robots how to navigate through various tasks. PIGINet evaluates potential action sequences based on task descriptions, scene images, and…

PACGen: Personalized and Controllable Text-to-Image Generation

7 July 2023
pacgen model

PACGen: Personalized and Controllable Text-to-Image Generation

Researchers from the University of Wisconsin-Madison have introduced a text-to-image diffusion model called PACGen (Personalized and Controllable Text-to-Image Generation) for transferring objects from one image to a new scene generated…

Google Try-on: Try Clothes Virtually with Realistic Models

18 June 2023
нейросеть одежда

Google Try-on: Try Clothes Virtually with Realistic Models

Google has introduced Try-on, a diffusion model that allows users of the “Shopping” service to try on clothes on models with different body types and skin tones. With just one…

Stability AI Publishes PickScore Dataset and Evaluation Function for Generative Models

6 June 2023
pickscore оценка изображений

Stability AI Publishes PickScore Dataset and Evaluation Function for Generative Models

Stability AI, in collaboration with Tel Aviv University, has released the PickScore dataset, a collection of over 500,000 images accompanied by user ratings. They have also introduced the PickScore evaluation…

John Deere Unveils the World’s First Self-Driving Tractor for Precision Farming

7 January 2022
John Deere self-driving

John Deere Unveils the World’s First Self-Driving Tractor for Precision Farming

John Deere, the world’s largest manufacturer of agricultural machinery, has started mass production of the first self-driving tractor. It can independently perform simple tasks and transmit data to the control…

Artificial Intelligence System Predicts Worsening Patient in Emergency Room

14 May 2021

Artificial Intelligence System Predicts Worsening Patient in Emergency Room

A group of researchers has created an approach to automatically predict the deterioration of patients’ condition using a neural network. The system was trained on chest x-rays and non-visual clinical…

TransGAN: two Transformer models as one GAN

26 February 2021

TransGAN: two Transformer models as one GAN

TransGAN is a GAN model in which the generator and discriminator are composed of two Transformer architectures. GAN architecture traditionally uses convolutions. In TransGAN, convolutions are replaced with Transformer. The…

Deep Neural Network Learns to “See” Through Obstructions

15 April 2020

Deep Neural Network Learns to “See” Through Obstructions

A group of researchers led by Yu-Lun Liu has proposed a deep learning-based method that removes unwanted obstructions such as raindrops, fences or window reflections from short videos. Very often,…

U-Net: Image Segmentation Network

23 November 2018
u-net

U-Net: Image Segmentation Network

U-Net is considered one of the standard CNN architectures for image classification tasks, when we need not only to define the whole image by its class but also to segment areas of…

New Datasets for 3D Human Pose Estimation

8 November 2018

New Datasets for 3D Human Pose Estimation

Human pose estimation is а fundamental problem in computer vision. Computer’s ability to recognize and understand humans in images and videos is crucial for multiple tasks including autonomous driving, action…

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…