Google AI launches Crowdsourcing Adverse Test Sets for Machine Learning (CATS4ML) Data Challenge

Researchers at Google AI have recently launched Crowdsourcing Adverse Test Sets for Machine Learning (CATS4ML) Data Challenge. This challenge focuses on improving...

Researchers From Facebook AI And The University Of Texas At Austin Introduce VisualVoice: A...

Despite being present in surroundings with contaminated and overlapping sounds, the human perceptual system moves massively on visual information to lessen the...

Facebook AI And Sorbonne University Propose A New Benchmark, CTrL, To Evaluate How Efficiently...

In collaboration with Sorbonne University, Facebook AI introduced a new benchmark for continual learning (CL). This presents excellent means to improve traditional...

Facebook AI Introduces M2M-100 : The First Many-To-Many Multilingual Model That Translates 100×100 Languages...

Typical English-centric multilingual models previously used for translations rely on two-step translation. This lacks in preserving the sentences’ actual meaning because of...

Understanding the Basics of MLOps (Machine Learning Operations)

Model-based machine learning and AI, although new, are rapidly becoming a mainstream technology in all large enterprises. The use of such models...

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...

AlphaFold: DeepMind’s AI System With Major Breakthrough To Predict Protein-Folding

Google’s DeepMind introduces an AI system, AlphaFold, that can accurately predict how proteins fold into shapes. Proteins comprise strings of...

Nvidia’s New Technique — Called Adaptive Discriminator Augmentation (ADA) — Allows Researchers To Train...

Nvidia introduces a new method to train AI models using limited data sets. Using minimal study material required for a general GAN,...

Google AI Researchers Introduce Tracln- An Easy Approach To Estimate Training Data Influence

In a paper published at NeurIPS 2020, Google AI researchers have proposed a simple, scalable approach to estimate training data influence- TracIn. The quality of a Machine...

CogMol: Framework developed by IBM based on deep learning to accelerate therapeutic developments for...

The global novel Coronavirus (COVID-19) pandemic is rapidly evolving and expanding. There is still a lot of news coverage about community spread every...
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