A new open access journal from @AIP_Publishing that will feature research in how machine learning & AI can aid physicists, material scientists, engineers & more
Weβre continuing the conversation β in a new place.
AIP Publishing is now posting on Bluesky: @ https://t.co/Do9EWoiSSK
Follow us there for the latest researchπ§ͺ
Weβre continuing the conversation β in a new place.
AIP Publishing is now posting on Bluesky: @ https://t.co/Do9EWoiSSK
Follow us there for the latest researchπ§ͺ
π¦ Author Spotlight: Esteemed APL Machine Learning author & editorial advisory board member, @ProfBuehlerMIT, shares his insight behind the paper which has been incorporated into the #HuggingFace#codebase
Learn more π
https://t.co/KkHCIrX49p
Author Spotlight: Esteemed APL Machine Learning author & editorial advisory board member, Markus Buehler, shares his insight behind the paper which has been incorporated into the #HuggingFace#codebase.
Learn more π
https://t.co/FHx88k9AVp
The human brain is the most efficient data system we know of, partly due to its ability to perform computations in the same locations where memory is stored. #scilight
Learn more π
https://t.co/0JNfq5tGPa
APL Machine Learning is a proud sponsor of Symposium MT01 β Integrating AI-Assisted Computation and Experimentation for Autonomous Laboratories at #S25MRS!
Learn more π
https://t.co/WcsEe0PmI0
We are so excited to share we have a new Associate Editor! Please join us in welcoming Mahshid Ahmadi, @Robo_Perovskite, to the editorial team!
π https://t.co/LolmRyEXOe
Reminder β
This Special Topic, Machine Learning for Self-Driving Laboratories, is still open for submissions. Submit by February 26, 2025!
Learn more π
https://t.co/6APr5GpIj4
Our growing list of open access journals is a crucial part of our commitment to #OpenScience. As an OA journal, APL Machine Learning has a wide reach and broad audience. Read one of the most downloaded articles in @aplmachinelearn to celebrate #OAWeek!
π https://t.co/VU78zUvzo5
AIP CEO @Michael_AIP congratulates the #NobelPrize2024π₯ winners: βBoth the chemistry and physics prizes this year recognize the growing importance that #AI and #MachineLearning are having across the breadth of modern science.β
Read more:
https://t.co/Qw3pz4PStl
π Congratulations to John J. Hopfield and Geoffrey E. Hinton, recipients of the 2024 #NobelPrize in Physics "for foundational discoveries and inventions that enable machine learning with artificial neural networks." π€π
#Physics#MachineLearning#AI
Congratulations to the winners of the @ECMLPKDD Workshop βDeep Learning Meets Neuromorphic Hardware" Best Poster Award π,
Sofie Studholme @UCNZ and Erik B. Terres-Escudero @deusto!
Proudly sponsored by APL Machine Learning!
π’ Call For Papers
This Special Topic explores the transformative impact of machine learning in self-driving labs and closed-loop experimentation systems, highlighting advancements in AI-driven decision-making. Submit by February 26, 2025!
Learn more π
https://t.co/6APr5GpIj4
APL Machine Learning is proud to sponsor the Best Poster Award at the 7th @tyc_london#EnergyMaterials workshop: from data to discovery of new #energy#materials! Stay tuned for the announcement of the winner! π
π https://t.co/0IuwxOul5D
APL Machine Learning Associate Editor Jie Xu will be presenting today at 1:45 PM PDT on #ElectronicPolymers at #S24MRS!
Proudly sponsored by @aplmachinelearn
π https://t.co/WR6Frrhh5F