scientific research – AI.RadicalShift

newsNVIDIA’s cuPyNumeric Accelerated Computing Library Revolutionizes Data Analysis for Scientists Worldwide

Americas, Artificial Intelligence, Data centers, Graphics Processing Unit (GPU), Industrial, Machine learning, Quantum Computing, Supercomputer

November 19, 2024

Sheryl Rivera

accelerated computing, AI tools, Australian National University, Big Data, climate science, computational fluid dynamics, cuPyNumeric, data analysis, data scaling, GH200 Grace Hopper Superchip, GPUs, HDF5, high-performance computing, Los Alamos, Los Alamos National Laboratory, machine learning, matrix calculations, National Payments Corporation of India, NPCI, NumPy, NVIDIA, NVIDIA booth, Python code, real-time digital payment system, research workflows, scientific discovery, scientific institutions, scientific research, SLAC, SLAC National Accelerator Laboratory, supercomputers, Supercomputing 2024, UMass Boston, Venado supercomputer, weather modeling

SANTA CLARA — NVIDIA has introduced a game-changing tool for researchers worldwide—cuPyNumeric, an accelerated computing library designed to enhance data-crunching capabilities without requiring users to alter their existing Python code. This breakthrough in computing technology helps scientists tackle massive data sets, from quantum-level electron behaviors to galactic collisions, by allowing them to efficiently scale their…
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newsGoogle DeepMind’s Demis Hassabis and John Jumper Win Nobel Prize in Chemistry for AlphaFold Breakthrough

AI assistants, Analytics, Artificial Intelligence, Chemicals, Europe, Healthcare, Machine learning, Pharma & Biotech, Science

October 9, 2024

Sheryl Rivera

2024 Nobel Prize, AI, AlphaFold, AlphaFold Protein Structure Database, artificial intelligence, computational protein design, David Baker, DeepMind, Demis Hassabis, Drug Discovery, enzyme design, Google, Google DeepMind, groundbreaking discoveries, Isomorphic Labs, John Jumper, Nobel Prize in Chemistry, protein structure prediction, Royal Swedish Academy of Sciences, scientific research

LONDON — Demis Hassabis, Co-founder and CEO of Google DeepMind and Isomorphic Labs, and Dr. John Jumper, Director at Google DeepMind, have been jointly awarded the 2024 Nobel Prize in Chemistry for their pioneering work on AlphaFold, an AI system capable of accurately predicting the three-dimensional structure of proteins from their amino acid sequences. They…
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newsGeorgia Tech and Meta Collaborate on Groundbreaking Dataset to Drive Innovation in Direct Air Capture Technology

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Datasets, Environment, Machine learning, Open Source LLMs

May 2, 2024

Sheryl Rivera

ACS Central Science, AI, Andrew J. Medford, Anuroop Sriram, Carbon Capture, carbon dioxide removal, carbon emissions, climate change, collaboration, dataset, David Sholl, direct air capture, energy, environmental impact, FAIR, Fundamental AI Research, Georgia Tech, innovation, machine learning, materials chemistry, Matt Uyttendaele, Meta, MOFs, negative-emission technologies, open-source, OpenDAC, quantum mechanics, scientific research, sorbent discovery, sustainability

This post was originally published on the Georgia Tech Blog. MENLO PARK — In an ambitious effort to combat climate change, Georgia Tech and Meta have joined forces to develop a massive open-source dataset designed to advance AI-driven solutions for carbon capture. This initiative, dubbed OpenDAC, aims to accelerate the development of direct air capture (DAC)…
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newsUniversity of Groningen Explores the Value and Challenges of Big Data in Scientific Research

Artificial Intelligence, Big Data, Education, Europe, Responsible AI

April 2, 2024

Sheryl Rivera

algorithmic bias, Algorithms, Big Data, challenges, computational infrastructure, ethical implications, regulatory frameworks, responsible data utilization, scientific research, UG/Campus Fryslân, University of Groningen, Xiaoyao Han

GRONINGEN — In an era marked by the exponential growth of experimental and observational data, the University of Groningen (UG) delves into the complexities and potentials of Big Data within scientific realms. Xiaoyao Han, a PhD student at UG/Campus Fryslân, spearheads research into the added value of Big Data and its implications for scientific understanding.…
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newsFacebook AI and Carnegie Mellon Join Forces to Revolutionize Renewable Energy Storage with AI-Powered Catalyst Research

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Energy, Gas & Oil, Internet & Online, Quantum Computing

October 14, 2020

Oleg Lazarov

AI, AI Models, Carnegie Mellon University, catalysis, chemical engineering, CMU, collaboration, electrocatalysts, energy grid, energy storage, ethanol, Facebook, Facebook AI, hydrogen, low-cost energy solutions, OC20 data set, Open Catalyst Project, quantum mechanical simulations, quantum simulations, Renewable energy, renewable energy storage, scalable energy solutions, scientific research, solar energy, wind energy

MENLO PARK — Facebook AI and Carnegie Mellon University’s (CMU) Department of Chemical Engineering have teamed up to launch the Open Catalyst Project, an initiative aimed at accelerating quantum mechanical simulations with AI to discover new electrocatalysts for more efficient renewable energy storage. By utilizing AI, the project seeks to speed up these simulations by…
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What is RadicalShift AI?

RadicalShift.ai represents the paradigm shift the artificial intelligence (AI) brings upon all of us, from the way we live and work to the way we do business. To help cope with these fundamental changes across life, industries and the world in general, we are obsessively observing (30+ markets across multiple continents) and covering the AI industry while building a scalable open platform aimed at people, businesses and industry stakeholders to contribute across (benefit from) the entire spectrum of the AI industry from news, views, insights to knowledge, deployments, entities, people, products, tools, jobs, investors, pitch decks, and beyond, helping build what would potentially be a resourceful, insightful, knowledgeable and analytical source for AI related news, information and resources, ultimately becoming the AI industry graph/repository.