PyTorch Releases Prototype Features To Execute Machine Learning Models On-Device Hardware Engines

PyTorch has recently released four new PyTorch prototype features. The first three enable mobile machine-learning developers to execute models on the full...

DeepMind Open-Sources Lab2D, A System For The Creation Of 2D Environments For Machine Learning

DeepMind recently open-sourced a software system called Lab2D. Lab2D is designed to support the creation of 2D environments for artificial intelligence and machine...

HAMLET: A Hierarchical Agent-Based Machine Learning Platform For AI Research And Development

Machine learning (ML) algorithms are widely used as computational tools for solving various real-world problems, including image, audio, and text classification tasks....

Using Algorithms Derived From Neuroscience Research, Numenta Demonstrates 50x Speed Improvements on Deep Learning...

Numenta is a machine intelligence company that focuses on developing cohesive theory, core software, technology, and applications following the neocortex principles. The...

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

Differentiable rendering is a novel field that helps to calculate the gradients of 3D objects and allows them to get propagated through...

Embold: Static Code Analyzer Uses AI To Help Developers Analyze And Improve Their Code

Embold is a simple but efficient AI-based static code analyzer that can help developers analyze and improve their code. The feature that...

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...

LinkedIn Releases Dagli, An Open Source Machine Learning Library For Java

While machine learning development is increasing every day, a survey from Algorithmia states that most enterprises spend between 8 to 90 days deploying an...

MIT Researchers Explore New Advancements In Asymptomatic COVID-19 Detection Using Artificial Intelligence Through Cough...

It has been affirmed that the asymptomatic people infected with Covid-19 do not exhibit the disease's visible physical symptoms. Thus they are...

Proposed Machine Learning Model To Predict The Power-Conversion Efficiency (PCE) Of Materials That Can...

The researchers at the ARC Centre of Excellence in Exciton Science have created a new type of machine learning model that could...
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