NVIDIA Announces ‘Cambridge-1’: UK’s Most Powerful Supercomputer For AI Healthcare Research

NVIDIA announces that it is building a supercomputer named “Cambridge-1,” claiming to be the United Kingdom’s most powerful supercomputer. It aims to...

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

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...

Facebook AI Open-Sources Graph Transformer Networks (GTN) For Automatic Differentiation With Graphs

Graph Transformer Networks (GTN) is an open-source framework with weighted finite-state transducers (WFSTs), a powerful and expressive type of graph. GTN, just...

Google AI introduces TF-Coder, a program synthesis tool that helps you write TensorFlow code

Manipulating tensors is not an easy task as it requires a lot of prerequisites, such as keeping track of multiple dimensions, Dtype...

Multi-Expert Learning Architecture (MELA), A Method To Combine Deep Neural Networks

Researchers at the University of Edinburgh and Zhejiang University have revealed a unique way to combine deep neural networks (DNNs) for creating...

How DeepMind Is Using JAX To Accelerate AI Research

JAX is a Python library developed by Google researchers for high-performance numerical computing. Its API is based on NumPy. NumPy is a...

DeepMind Has Reconciled Existing Neural Network Limitations To Outperform Neuro-Symbolic Models

Neural networks have achieved success in various perceptual tasks. However, it is stated that they are ineffective in solving problems requiring higher-level...

ABBYY Open-Sources NeoML, A Machine Learning Framework For Both Deep Learning And Traditional Algorithms

ABBYY recently announced the launch of NeoML, an open-source library for building, training, and deploying machine learning models. NeoML is a cross-platform framework...

Tired Of Tedious Pre-Processing Tasks? Try TensorFlow Lite Task Library!

Every developer loves TensorFlow and even more when you can implement it directly on Android. But we have to do a lot...

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,...
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