Yearly Archives: 2021

Machine Learning Metadata (MLMD) : A Library To Track Full Lineage Of Machine Learning Workflow

Version control is used to keep track of modifications made in a software code. Similarly, when building machine learning (ML) systems, it is essential...

Introducing ā€˜Chitrakarā€™ A New AI System That Converts Images Of A Human Face Into The Jordan Curve

Researchers from TCS Robotics Research Lab in India has launched an artificial intelligence (AI) system called 'Chitrakar' that converts an image of a human's...

A Singapore-Based Coffee Bar Builds ‘Ella’: A Fully Autonomous Robot Barista Using Intel Technology

At a small coffee bar named Crown Coffee in downtown Singapore, a fully autonomous robot barista named ā€œEllaā€ makes a perfect cup of coffee...

Getting Started With Pytorch In Google Collab With Free GPU

In this post, we will discuss the basics of pytorch by using the google colab gpu

Researchers From Uber And CMU Develop An AI Language Model That Focuses On Polite And Positive Responses

AI-driven assistants are gaining significant traction in the modern world. AI assistants, like Alexa and Siri, need to exhibit apt social behavior to engage users...

Caltech Open-Sources FNO: A Deep Learning Method For Solving PDEs (Partial differential equations)

Caltech'sĀ Dolcit groupĀ recently open-sourced FNO,Ā Fourier Neural Operator, a deep-learning method for Solving the PDEs (Partial differential equations). FNO being three times faster than traditional solvers...

OpenAI Introduces DALLĀ·E: A Neural Network That Creates Images From Text Descriptions

OpenAI has recently trained a neural network called DALLĀ·E that creates images from text descriptions for various concepts expressible in natural language.  It is possible...

Researchers Introduce A Deep Learning Framework For Drug Repurposing

What is Drug repurposing? Drug repurposing involves investigating existing drugs for new therapeutic purposes. It is a useful approach to distinguish new uses for existing...

Researchers Examine Three Intrinsic Motivation Types To Stimulate Intrinsic Objectives Of Reinforcement Learning (RL) Agents

Reinforcement learning (RL) has enabled tools to make decisions and solve complex problems in unknown environments directly from high-dimensional image inputs, such as locomotion,...

Facebook AI Introduces DeiT (Data-efficient image Transformers): A New Technique To Train Computer Vision Models

Facebook AI has developed a new technique called Data-efficient image Transformers (DeiT) to train computer vision models that leverage Transformers to unlock dramatic advances across many...

Recent articles

spot_img

Be the first to know the latest AI research breakthroughs.

X