⏳ The AI4X Submission Deadline is today! 🚀
The abstract submission deadline is TODAY, 14 March 2025, 23:59 AoE (Anywhere on Earth). If you haven’t submitted yet - this is your last chance!
ai4x.cc/submission/
⏳ Final Call: AI4X Abstract Submission Closes Tomorrow!
Don't miss your chance to be part of AI4X – the largest AI conference revolutionizing Natural Sciences.
📅Dates: 8–11 July 2025 | Singapore
⏳Deadline: 14 March 2025, 23:59 AoE
🔗https://ai4x.cc/submission/
🚀 AI4X Conference Timeline – Mark Your Calendar & Submit Your Abstract! 🚀
⏳ Submission deadline: 14 Mar 2025, 23:59 AoE (Anywhere on Earth)
📢 Decision notification: April 2025
🔗 Submit your abstract now: ai4x.cc/submission/
📢 Submit your abstract by 14 March and be a part of AI4X!
📅 Dates: 8–11 July 2025
📍 Location: Singapore
🔗https://ai4x.cc/submission/
AI for Materials Science
Abhishek Singh (Indian Institute of Science): His work spans ML applications, 2D materials, thermoelectrics, catalysis, optical properties, topological materials, and defect analysis using density functional approaches.
Unconventional Computing
Wei Lu (University of Michigan): His research explores high-density memory based on two-terminal resistive devices (RRAM), memristors, in-memory computing, neuromorphic circuits, aggressively scaled nanowire transistors, and emerging electrical devices.
AI for Biology
Limsoon Wong (National University of Singapore): He currently works mostly on knowledge discovery technologies and their application to biomedicine. He has also done, in the earlier part of his career, significant research in database query language theory and finite model theory.
AI for Chemistry
Artem Oganov (Skolkovo Institute of Science and Technology): He works in the field of computational materials discovery, study of matter at high pressures, and development of novel computational methodologies for predicting the structure and properties of materials.
AI for Chemistry
Xavier Bresson (NUS): His research focuses on Graph Deep Learning, a framework that merges graph theory and neural networks to tackle complex data domains. He will introduce Graph ViT, a novel approach leveraging Visual Transformers (ViT).
🚀Introducing new conference speakers!
We are excited to introduce new additions to our distinguished panel of speakers! These experts are at the forefront of AI applications in chemistry, biology, materials science, and unconventional computing. We are proud to introduce:
Introducing Student Travel Grants!
We’re thrilled to announce a limited number of travel grants which are available for students attending the AI4X conference. Grants will be awarded based on the quality of the submitted abstract.
Learn more & apply: ai4x.cc/registration/
🔹AI4X Abstract Submissions Deadline: One Week to Go! 🔹
The countdown is on: AI4X Abstract Submissions Deadline is just one week away. Get your research ready and save the date:
14 March, 23:59 Anywhere on Earth (AoE).
ai4x.cc/submission/
🚀 Abstract Submission Deadline Extended to March 14! 🎉
Great research deserves to be heard! After a number of requests for extending, we are changing the abstract submission deadline to March 14, 2025. Use this time wisely and get your work ready! 😉
🔗 Submit your abstract: ai4x.cc/submission/
Xujie Si (University of Toronto): He focuses on developing learning-based techniques to help programmers build better software with less effort, integrating logic programming with differentiable learning systems.
#AIforMathematics
@emilyrlines.bsky.social
Emily Lines (University of Cambridge): She will discuss the challenges of using DL for analyzing tree and forest data. Her goal is to improve the extraction of ecologically meaningful information to address questions ranging from fundamental ecology to applied conservation.
@limes-bonn.bsky.social
Jürgen Bajorath (University of Bonn): His research focuses on cheminformatics, ML, and the development of computational methods for drug discovery. He will introduce the concept of chemical language models (CLMs), their preferred architectures, and their challenges.
Ron Dror (Stanford University): An expert in high-performance computing, ML, image analysis, molecular simulation, structural biology, and drug design. He leads a research group that applies molecular simulation and machine learning to guide the development of better medicines.
#AIforBiology
Zhang Yang (National University of Singapore): His research interests include AI and deep neural network learning, protein folding and structure prediction, and protein design and engineering.
#AIforBiology
Alex Aliper (Insilico Medicine): He pioneered the application of AI in multi-omics data for drug discovery and drug repurposing, generative chemistry, and generative biology, putting an AI-designed drug into human clinical trials.
#AIforBiology
🚀 We are excited to announce newly confirmed speakers for the AI4X conference! Meet these amazing experts who are revolutionizing their fields:
With the conference deadline fast approaching this Friday, now’s the time to submit your abstracts! In the meantime, if you have any questions about AI4X, we’ve got the answers.
Find the FAQ here: tinyurl.com/ai4xlinkedin
#AI #Conferences
Mario Lanza (NUS): He focuses on improving electronic devices, integrated circuits, and silicon microchips using all kinds of novel nanomaterials, with especial emphasis on 2D-materials. He will discuss the status of memristor-based neuromorphic computation.
Fabio Sciarrino (University of Rome La Sapienza): In recent years his research activity has focused on the implementation of quantum information protocols via integrated photonic circuits. His talk will explore Adaptive Boson Sampling as a pathway to quantum ML.
Marin Soljacic (MIT): He explores unconventional computing through nanophotonics, leveraging the unique properties of artificially engineered materials to develop novel computing approaches using photons instead of electrons.
Dongling Deng (Tsinghua University): His main research interests are quantum AI and quantum technologies. In his talk, he will provide a concise introduction to the field of quantum AI advantage.
Hsin-Yuan Huang (Caltech/Google Quantum AI): His ultimate goal is to build quantum machines capable of discovering new facets of our universe beyond the capabilities of humans and classical machines.
Wilfred van der Wiel (University of Twente): His research group works with nanoelectronics, comprising the study of electronic and magnetic properties of systems with critical dimensions in the nanoregime, focusing on brain-inspired and quantum electronics.
🌟 AI in Unconventional Computing: Redefining What's Possible 🌟
AI is transforming computation beyond traditional silicon-based architectures, unlocking new possibilities in unconventional computing. At AI4X, leading experts will explore such groundbreaking approaches:
#UnconventionalComputing #AI
Submit your abstract, come to Singapore and listen to these futuristic talks!
📅 Dates: 8–11 July 2025
📍 Location: Singapore
🔗 Submit your abstract: ai4x.cc/submission/
#STEM #FutureOfScience #AI4X #AIforScience #selfdrivinglabs #AI
Kedar Hippalgaonkar (NTU) - His interests are in designing functional materials, especially for energy applications. His approach to materials by design is built on creating and utilizing materials data by high-performance computing and high-throughput experiments.
