Artificial Intelligence

Researchers Develop i-Melt: A Deep Neural Network That Can Predict Glass Quality Based On Melt Composition

Glass can be found all around us. It's in our computer screens, next-generation batteries, medical implants, and even volcanoes. Glass is manufactured by melting something...

A New DeepMind Research Studies Language Modeling At Scale

Language is an essential human component because of its role in demonstrating and promoting comprehension - or intellect. It allows people to express ideas,...

Meta AI Develops A Conversational Parser For On-Device Voice Assistants

A variety of devices such as computers, smart speakers, cellphones, etc., utilize conversational assistants for helping users with tasks ranging from calendar management to...

LinkedIn Formulates Entity Inference As An Inference Problem Using Graph Neural Networks

LinkedIn allows its users to add information about themselves to their profiles, such as their career history, education, abilities, to name a few. They...

Google Research Release Reinforcement Learning Datasets For Sequential Decision Making

Most reinforcement learning (RL) and sequential decision-making agents generate training data through a high number of interactions with their environment. While this is done...

Facebook AI and University of Guelph Open-Sources Graph HyperNetworks (GHN-2): A Meta-Model That Predicts Starting Parameters For Deep-Learning Neural Networks

In machine learning pipelines, deep learning has proved successful in automating feature design. However, many researchers reveal that the techniques for improving neural network...

An MIT Research Develops A New Machine Learning Model That Understands The Underlying Relationships Between Objects In A Scene

Deep learning models do not see the world the same way we humans do. Humans have the ability to see objects and interpret their...

Google Research Open-Sources ‘SAVi’: An Object-Centric Architecture That Extends The Slot Attention Mechanism To Videos

Multiple distinct things act as compositional building blocks that can be processed independently and recombined in humans' understanding of the world. The foundation for...

MetaICL: A New Few-Shot Learning Method Where A Language Model Is Meta-Trained To Learn To In-Context Learn

Large language models (LMs) are capable of in-context learning, which involves conditioning on a few training examples and predicting which tokens will best complete...

Google Highlights How Statistical Uncertainty Of Outcomes Must Be Considered To Evaluate Deep RL Reliably and Propose A Python Library Called ‘RLiable’

Reinforcement Learning (RL) is a machine learning technique that allows an agent to learn by trial and error in an interactive environment from its...

Meta/Facebook AI Releases XLS-R: A Self-Supervised Multilingual Model Trained On 128 Languages For A Variety Of Speech Tasks

Talking to one another is a natural way for people to engage. With advancing speech technology, people are now interacting with devices in day...

A Novel Deep Learning Technique That Rebuilds Global Fields Without Using Organized Sensor Data

A prominent challenge physicist and computer scientist faces is developing ways to accurately rebuild spatial fields from data gathered by sparse sensors. This process...

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