Top news of the week: 29.07.2021.
Research
Geometric Deep Learning on Molecular Representations
Geometric deep learning (GDL), which is based on neural network architectures that incorporate and process symmetry information, has emerged as a recent paradigm in artificial intelligence. ...
STMicroelectronics Strengthens Support for Efficient Machine Learning in STM32Cube.AI Ecosystem
STMicroelectronics has expanded the variety of machine-learning techniques available to users of the STM32Cube.AI development environment, giving extra flexibility to solve classification, ...
Open-Ended Learning Leads to Generally Capable Agents
In this work we create agents that can perform well beyond a single, individual task, that exhibit much wider generalisation of behaviour to a massive, rich space of challenges.
Shifts Challenge: Robustness and Uncertainty under Real-World Distributional Shift
We invite researchers and machine learning practitioners from all over the world to participate in our NeurIPS 2021 Shifts Challenge on robustness and uncertainty under real-world ...
Dimensionality reduction in neural data analysis
It’s become commonplace to record from hundreds of neurons simultaneously. If past trends extrapolate, we might commonly record 10k neurons by 2030. What are we going to do with all this ...
Microsoft invests in and partners with OpenAI to support us building beneficial AGI
Microsoft is investing $1 billion in OpenAI to support us building artificial general intelligence (AGI) with widely distributed [https://openai.com/charter/] economic benefits. We're ...
The Secret Guide To Human-Like Text Summarization
In this story, I will share how I use Google’s T5 (Text-to-Text Transfer Transformer) model to create a human-like summarizer with just a few lines of code!