Author: Shruti

Shruti
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http://www.marktechpost.com
Shruti is a consulting intern at MarktechPost. She is currently pursuing her B.Tech from the Indian Institute of Technology(IIT), Kanpur, India.

UK Based AI Computer Company, Graphcore, Unveils Next-Generation AI Chip Called ‘Bow’ To Speed AI By 40% 

Graphcore, a U.K.-based AI computer company, improved the performance of its computers without changing anything about their specialized AI processor cores. TSMC's wafer-on-wafer 3D...

Microsoft’s PyTorch-DirectML Release-2 Now Works with Python Versions 3.6, 3.7, 3.8, and Includes Support for GPU Device Selection to Train Machine Learning Models

Machine learning (ML) is becoming a more critical application for developers since it allows them to train models that can do various prediction-based activities....

Princeton University Researchers Introduce ‘DataMUX’: A Technique That Enables Deep Neural Networks to Process Multiple Inputs Simultaneously Using a Single Compact Representation

A Princeton University research team proposed Data Multiplexing for Neural Networks in their new study DataMUX: Data Multiplexing for Neural Networks (DataMUX). This new...

Researchers From Microsoft and CMU Introduce ‘COMPASS’: A General-Purpose Large-Scale Pretraining Pipeline For Perception-Action Loops in Autonomous Systems

Humans have the essential cognitive capacity to comprehend the world via multimodal sensory inputs and use this ability to perform a wide range of...

Pytorch Introduces ‘TorchRec’: A Python-based PyTorch Domain Library For Recommendation Systems (RecSys)

Recommendation Systems (RecSys) are a big part of today's production-ready AI, although you wouldn't know it from glancing at Github. In contrast to domains...

Researchers From Deepmind and Swiss Plasma Center at EPFL Developed a Deep Reinforcement Learning (RL) System to Control a Nuclear Fusion Reactor

Researchers have been looking for a source of clean, inexhaustible energy to alleviate the global energy dilemma for a long time. One option is...

IBM Researchers Built a Machine Learning Model That can Help Harness the Power of Enzymes for Greener Chemistry

The development of ecologically acceptable biochemical substitutes for industrial processes might be accelerated thanks to nature's molecular machinery. Enzymes are the master accelerators of nearly...

Deepmind Open-Sources DM21: A Deep Learning Model For Quantum Chemistry

Deepmind Open-sources 'DM21', a neural network model for mapping electron density to chemical interaction energy, a critical component of quantum mechanical modeling. DM21 outperforms...

MIT Researchers Propose a New Deep Reinforcement Learning Algorithm Trained to Optimize Doses of Propofol to Maintain Unconsciousness During General Anesthesia

According to a recent study from MIT and Massachusetts General Hospital (MGH), robust artificial intelligence systems may soon be able to help anesthesiologists in...

Latest LinkedIn AI Research on Using Bayesian Optimization for Balancing Metrics in Recommendation Systems

The majority of large-scale recommender systems, such as newsfeed ranking, people recommendations, job recommendations, and so on, have many objectives that must be optimized...

UT Austin Researchers Demonstrate a Deep Learning Technique That Achieves High-Quality Image Reconstructions Based on MRI Datasets

During a magnetic resonance imaging (MRI) scan, time seems to stand still for many individuals. Those who have experienced one understand the difficulty of...

Google’s Latest Machine Learning Research on Using Differential Privacy in Image Classification on a Large Scale

From recommendations to automatic picture classification, machine learning (ML) models are increasingly helpful for increased performance across several consumer products. Despite aggregating massive volumes...

🐝 FREE AI WEBINAR: A Synthetic Data Deep Dive (July 30 2024)

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