Computer Vision

Researchers From The University of Alberta Propose U2- Net: A Novel Deep Network Architecture That Generates Realistic Pencil Portraits Using Salient Object Detection

In the computer vision field, the process of detection and segmentation of the most noticeable objects from natural scenes is known as salient object...

Exploring The Power Of Data In Quantum Machine Learning

Quantum computers have the capability to develop quantum machine learning algorithms. These algorithms can achieve better performance for modeling quantum-mechanical systems such as molecules, catalysts, or...

Stylized Neural Painter: An Image-To-Painting Translation Method That Generates Vivid And Realistic Painting Artworks With Controllable Styles

Researchers from the University of Michigan, NetEase Fuxi AI Lab, and Beihang University in China recently introduced Stylized Neural Painter. Stylized Neural Painter is a...

Nvidia Researchers Introduces A Modular Primitive To Provide High-Performance Primitive Operations For Rasterization-Based Differentiable Rendering

Differentiable rendering is a novel field that helps to calculate the gradients of 3D objects and allows them to get propagated through images without...

Google AI Releases ‘Objectron Dataset’ Consisting Of 15,000 Annotated Videos And 4M Annotated Images

Computer vision tasks have reached exceptional accuracy with new advancements in machine learning models trained with photos. Adding to these advancements, 3D object understanding...

TensorFlow Introduces Improved Iris Tracking In The Browser With TensorFlow.js Face Landmarks Detection Model

Iris tracking enables many applications, such as hands-free interfaces for assistive technologies and understanding user behavior beyond clicks and gestures. It is also a...

Introducing BVR ‘Bridging Visual Representations’: A Novel Module And Applied Plug-In Designed To Better Integrate Different Computer Vision (CV) Object Representations

Microsoft Research Asia and The Institute of Automation, CAS present a unique module based on an attention-based decoder to integrate different computer vision (CV)...

PyTorch Releases Version 1.7 With New Features Like CUDA 11, New APIs for FFTs, And Nvidia A100 Generation GPUs Support

Team PyTorch has recently released the latest version of PyTorch 1.7, with many changes included in the package.  Significant highlights of the python package are:  It...

Google Meet Introduces In-Browser Machine Learning Solution For Blurring And Replacing Background In A Live Video

Google recently announced ways to blur and replace the background in Google Meet for better focus on the person rather than the surrounding. The...

This Halloween Turn Yourself Into A Zombie With This AI Tool Using StyleGAN2

Many might be interested in an AI tool that changes your picture into a zombie with Halloween season upon us. NVIDIA in early 2019...

Google Launches rǝ: A Browser-Based Toolset To Reconstruct The 3D Structure Of Cities Using Deep Learning and Crowdsourcing

Google launched a browser-based toolset: rǝ (pronounced as re”turn"). rǝ is an open-source and scalable system running on Google Cloud and Kubernetes to reconstruct...

Hayden AI Raises $5M To Bring Safe, Healthy And Equitable Mobility To The Public In Smart Cities

Hayden AI Technologies, Inc. recently raised $5M in a recent funding round. Hayden AI will use these funds to accelerate product development, helping cities...

Nvidia AI Releases Minitron 4B and 8B: A New Series of Small Language Models...

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Large language models (LLMs) models, designed to understand and generate human language, have been applied in various domains, such as machine translation, sentiment analysis,...

Arcee AI Introduces Arcee-Nova: A New Open-Sourced Language Model based on Qwen2-72B and Approaches...

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Arcee AI introduced Arcee-Nova, a groundbreaking achievement in open-source artificial intelligence. Following their previous release, Arcee-Scribe, Arcee-Nova has quickly established itself as the highest-performing...

H2O.ai Just Released Its Latest Open-Weight Small Language Model, H2O-Danube3, Under Apache v2.0

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The natural language processing (NLP) field rapidly evolves, with small language models gaining prominence. These models, designed for efficient inference on consumer hardware and...

The Next Big Trends in Large Language Model (LLM) Research

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Large Language Models (LLMs) are rapidly developing with advances in both the models' capabilities and applications across multiple disciplines. In a recent LinkedIn post,...

CaLM: Bridging Large and Small Language Models for Credible Information Generation

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The paper addresses the challenge of ensuring that large language models (LLMs) generate accurate, credible, and verifiable responses by correctly citing reliable sources. Existing...

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