Diffusion Model Trained to Predict Chemical Reactions

27 December 2023
mit duffusion model

Diffusion Model Trained to Predict Chemical Reactions

MIT scientists have developed a model that predicts the likelihood of a molecule reaching a transition state—critical for determining the probability of a chemical reaction. Furthermore, researchers will use the…

14 Free Courses on Machine Learning, Data Science, Data Analysis, and Python

30 August 2023
free machine learning data science analysis python courses

14 Free Courses on Machine Learning, Data Science, Data Analysis, and Python

The prevailing trend in online education is the rise of Massive Open Online Courses (MOOCs). Free courses on machine learning, data science, data analysis, and Python are readily available, based…

PIGINet: Generating Optimal Sequence of Robot Actions

30 July 2023
robotic tasks piginet

PIGINet: Generating Optimal Sequence of Robot Actions

MIT researchers have introduced PIGINet, a neural network designed to teach robots how to navigate through various tasks. PIGINet evaluates potential action sequences based on task descriptions, scene images, and…

ConPLex: Language Model for Drug Development

11 June 2023
ConPLex

ConPLex: Language Model for Drug Development

ConPLex is a language model trained to analyze chemical databases and search for potential drug molecules that interact best with specific target proteins. The model enables the exploration of over…

Automatic Creation of Personalized GIFs: a New State-of-the-Art Approach

27 July 2018
automatic-gif-creation

Automatic Creation of Personalized GIFs: a New State-of-the-Art Approach

Suppose you have a 10-minutes-video but are interested only in a small portion of it. You are thinking about creating a 5-second GIF out of this video, but video-editing can…

“What Is Going On?” Neural Network by Facebook Detects and Recognises Human-Object Interactions

11 July 2018
object-detection

“What Is Going On?” Neural Network by Facebook Detects and Recognises Human-Object Interactions

Deep learning played an important role in the past years for the improvement of visual recognition of individual instances e.g detecting objects and pose estimation. However, recognizing individual objects is…

“What I See” vs “What My Camera Sees”: How DNN Can Bring Details Back to Overexposed and Underexposed Images

28 April 2018
How DNN Can Bring Details

“What I See” vs “What My Camera Sees”: How DNN Can Bring Details Back to Overexposed and Underexposed Images

Human eyes are better than any known camera, so far. When we look at scenes where there’s a huge gap between the bright and dark tones (for example sunrise and…