15 Moments that Defined the History of Artificial intelligence

The emergence of artificial intelligence can be dated as far back as seventy years ago when humans started conceiving the idea of computers having...

Combining Deep and Reinforcement learning

Machine learning fundamentally involves learning from the data and making conclusions/decisions about a given problem. It utilizes the following popular approaches.

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...

GE Healthcare wins first FDA clearance for A.I. powered X-ray system

The FDA gives green signal to GE Healthcare's new AI based X-ray device (Critical Care Suite) to prioritize critical cases for pneumothorax,...

AI Chipmaker ‘Hailo’ Accelerates Deep Learning At The Edge With The Launch of 2...

Artificial intelligence chip company Hailo Technologies Ltd. is going to launch two new acceleration modules with the aim of boosting the processing capabilities of...

Leveraging ML Compute Framework For Accelerated TensorFlow Performance On Mac

TensorFlow 2 offers best-in-class training performance on various platforms, devices, and hardware. This empowers researchers and professionals to work on their favored...

Tracking 3-D Motion using Deep Learning and a Structure-Aware Temporal Bilateral Filter

Researchers at Tohoku University have proposed a novel approach to recapture 3-D motion data from a flexible magnetic flux sensor array, using...

DeepMind Open-Sources The FermiNet: A Deep Learning Model For Computing The Energy Of Atoms

The Fermionic Neural Network (FermiNet) is one of the first deep learning demonstrations for computing atomic energy. Fermionic Neural Network is a...

Allen Institute for AI open-sources AllenAct, a framework designed with a focus on Embodied-AI...

Allen Institute for AI open-sources AllenAct, a modular and flexible learning framework designed to focus on the unique requirements of Embodied-AI research....

Google AI Introduces Performer: A Generalized Attention Framework based on the Transformer architecture

Transformer model, a deep learning framework, has achieved state-of-the-art results across diverse domains, including natural language, conversation, images, and even music. The core block of any...
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