Dr. Elena Polyakova - AI & The Future of Innovation

AI is Powering the Future of Material Science: From Lab to Real-World Breakthroughs Is the future of material discovery already here? Imagine if we could design novel materials for carbon capture or battery storage before…

Hitachi Ventures highlights how AI is revolutionizing material science. By enabling predictive modeling and accelerating real-world deployment, AI is driving innovations that reshape industries globally.: medium.com/@HitachiVent...
#AI #MaterialScience #Innovation #innovation

Addressing #AI bias and lack of transparency for healthcare datasets
Consensus recommendations from a global consortium
thelancet.com/journals/lan...

Feeding the Machines: How AI's Appetite for Scientific Data is Reshaping Knowledge Access A study by researchers at Epoch AI predicts that by 2028, the size of datasets needed to train AI models will equal the total amount of public online text available today, leading to a looming data sh...

AI is hungry for data—and the future of knowledge hangs in the balance. Should scientific research be a public resource or locked behind paywalls? Explore the ethics, challenges, and opportunities in my latest piece. www.linkedin.com/pulse/feedin...
#AI #ArtificialIntelligence #Ethics #Innovation

Towards the #AI virtual cell, which would represent one the most extraordinary achievements in life science
www.cell.com/cell/fulltex... @bunnech.bsky.social

AI Meets Materials Science: The Story Behind the Materials Project's Success The Materials Project set out with a bold goal: to revolutionize how scientists discover and design materials. For centuries, material discovery was slow and labor-intensive, relying on trial and erro...

AI Meets Materials Science 🌟 The Materials Project redefines how we design materials—combining quantum mechanics, HPC, & AI to simulate properties of thousands of materials in hours, not years. Open access, global collaboration, & innovation. 🧪💻 #MaterialsScience #AI www.linkedin.com/pulse/ai-mee...

Learning the Language of Life with A.I. A Hyper-Accelerated Phase of New Foundation Models

An amazing read all times, but today's Ground Truth by @erictopol.bsky.social is an especially great look at a lot of recent mind-blowing advances in life science made possible by generative AI - Large Language Life Models (LLLMs). open.substack.com/pub/erictopo...

Meet a very scholarly bot :)
Liner, a specialized AI search engine for students & researchers, has raised $29M from Samsung Venture, Atinum, Intervest & others

Born in Seoul, Liner's users are from UC Berkeley, NYU, Texas A&M, USC, other top US universities
@bloomberg.com
tinyurl.com/kd2v9rky
#AI

Survey on Metaphors of AI Research We would like to know your perspectives on AI metaphors and the explanations you use for your work. Your responses are anonymous and will help improve the public's understanding of AI. This survey is...

Attention AI researchers! 🚀
Our Journalist-in-Residence, @annahenschel.bsky.social, wants your input on #AI metaphors.

Take 10–15 min to:
💡 Rate popular metaphors.
🗣️ Share thoughts on media coverage.
✨ Get inspired!

Help shape better AI communication 👉 forms.gle/KeWsbGPRfLf6...

I started to put together a starter pack for research in AI+Ecology, check it out and let me know if you would like to be added!

go.bsky.app/8zugFF6

Attributing "discovery" to the AI is like attributing "discovery" to the Hubble or to a scanning electron microscope, or to a particle accelerator. These are all tools: the discovery is the result of the application of the tool in line with the aims of the user.

Humans discover. Machines do not.

Are Vision Language Models ready for scientific research?
🧑‍🔬🧪

We compared leading VLLMs on the three pillars of chemical and material science discovery: data extraction, lab experimentation and data interpretation.
arxiv.org/abs/2411.16955

Time is running out to submit nominations for the Margot and Tom Pritzker Prize for AI in Science Research Excellence!

Don’t miss your opportunity to nominate researchers developing exceptional contributions to AI and the natural sciences or engineering

datascience.uchicago.edu/research/ai-...

🚀 Quantum Computing & AI are tackling big challenges in #MaterialsScience! From superconductors for energy grids to lightweight composites for greener aviation, the potential is huge. 🌍 But can they deliver on the hype? #Innovation #QuantumComputing #AI www.linkedin.com/pulse/quantu...

YouTube video by The Economist How AI is revolutionising science

How AI is revolutionising science - video by @economist.com 🧪
youtu.be/PKN95I93iGE?...

Curious about the different types of quantum computers and how they work? Dive into this guide and explore the tech shaping our future: t.ly/00csG 🌐🔬 #QuantumComputing #Innovation #FutureTech t.ly/EdYqi

Quantum computing: What leaders need to know now | MIT Sloan A framework from MIT researchers can help businesses anticipate when quantum computing might be useful — and when it might not.

Quantum computing is on the rise, but practical applications may still be a decade away. Learn what leaders need to know to stay ahead in this transformative field. 🌐🔬 #QuantumComputing #Innovation #Leadership t.ly/U2oFt

Andre Holder on machine learning and artificial intellegence in critical illness prediction
@SCCM #CCC49 #SccmSoMe #medtwitter #DataScience #AI #AIinmedicine #AIinhealthcare

Two years ago, ChatGPT triggered an AI boom. It may be just getting started. t.ly/00csG

Amazon AI data centers to double as carbon capture machines Reed Albergotti Reed Albergotti Dec 2, 2024, 2:00pm GMT+1 tech net zero Orbital’s 1st Generation Material Orbital Materials Email Copy link In this article: Title icon The News Title icon Know More Title icon Reed’s view Title icon Room for Disagreement Title iconThe News Amazon’s data centers could soon double as carbon capture machines, offsetting the harmful effects of the massive amounts of energy required to run them. Amazon Web Services is partnering with startup Orbital Materials, which used artificial intelligence to create a new material specifically designed for separating carbon from hot air exhaust in data centers, the companies announced Monday.

Meta seeks nuclear power for AI Staff Writer December 5, 2024 Share this article Meta, parent company of Facebook, Instagram and WhatsApp, said in a company blog post that it is seeking proposals from nuclear power developers to support its artificial intelligence (AI) and environment goals. Meta is seeking to add 1-4 GWe of new US nuclear generation capacity in the early 2030s. “We believe that nuclear energy can help provide firm, baseload power to support the growth needs of the electric grids that power both our data centres (the physical infrastructure on which Meta’s platforms operate) as well as the communities around them,” Meta, said. The company is seeking developers with expertise in community engagement, development and permitting, and would consider either small modular reactors (SMRs) or larger nuclear reactors.

THE GREENWASHING CHA Small nobdar Costliness HABITABLE ZONE Costly enough to pastity subsidies, bur infeasible enough that it won't get built Dict Too expensive, too improbable and distant. Empty promises are too obviously empty. D Too cheap, too deployable. Can be held to promises. Profile

2 recent stories:

- Amazon promising carbon removal *inside* its data centres
- Meta asking for nuclear power proposals for its data centres

Different techs, but the same dynamic: the techs are in what I am going to call the 'greenwashing habitable zone'.....

www.semafor.com/article/12/0...

AI found a new way to create quantum entanglement In a surprise discovery, researchers found a new way to generate quantum entanglement for particles of light, which could make building quantum information networks easier

www.newscientist.com/article/2459...

Quantum Computers Can Run Powerful AI That Works like the Brain The influential AI design that makes chatbots tick now runs on quantum computers

www.scientificamerican.com/article/quan....