Congratulations to AlphaFold 2 and its creators Demis Hassabis, John Jumper, and David Baker for winning the 2024 Nobel Prize in Chemistry! Their groundbreaking AI revolutionized protein structure prediction, unlocking new horizons in drug discovery. #NobelPrize#AI#AlphaFold
Preparing #experiments for long term #imaging in your own custom made #microscope can be challenging, but sometimes the outcome is worth it ���
Mice stem #cells for 24 hours. Trying #napari animation for rendering
Hey!! Don't miss the talk by @Loic_Lnlg on GREENER at @the_prbb today at 14:00 CET. This talk will be mainly focused on raising awareness about the carbon footprint of computational research and offering a practical online tool for emissions estimation https://t.co/FBmWcbYiX5
Finally, Diffusion Models use a novel approach to probabilistic modeling, allowing for high-quality image generation. With Diffusion models, AI can create stunning visuals while understanding uncertainty.
A few days ago @TIME nominated @Adobe Photoshop Generative Expand and Generative Fill as one of the best AI inventions in 2023. Generative fill is a smart image editing technique using neural networks to replace or fill parts of an image seamlessly #GenerativeAI#AI 🧵
#Transformers have been a game-changer for text and image generation. They leverage self-attention mechanisms to capture long-range dependencies in data, making them versatile for creative AI tasks.
📝Researchers at @ICFOnians and @IRBBarcelona identify the mechanism by which specific protein condensates transition from liquid to solid states, enabling the stability and transmission of the mechanical forces.
Published in @NatureCellBio
ICFO News👉https://t.co/JPUyUeldT1
Thrilled to announce that our team @NMSBlab received an Oracle Research Grant! We'll be driving a project on #Microscopy techniques for single-shot volumetric imaging using bioluminescent probes in combination with #MachineLearning . Thanks to @OracleResearch for their support!
Deep mind did it again.... Deep reinforcement learning will be the future for self-control processes that requires super-human performance
#MachineLearning#Coding#Robotics
Football players can tackle, get up, kick and chase a ball in one seamless motion. How could robots master these motor skills? ⚽
We trained AI agents to demonstrate these agile behaviours using end-to-end reinforcement learning.
Find out more: https://t.co/LkYtaMeUEd
Training a DDQN agent 🤖 to achieve optimal control in the LunarLander-v2 environment using @PyTorch. Here is a great tutorial that explains the very basics of this algorithm in case you want to give it a try😉https://t.co/n6eMTGXDTW
#reinforcementlearning#programming#Coding
Have you ever wondered how autonomous cars, traffic light control, or even data center cooling work? 🚗🚦💻 All of them work by creating an agent that learns and adapts through powerful algorithms like Double DQN. Check a small blog that I wrote here -> https://t.co/n6eMTGX64o