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Research Published 5 September 2024 Authors Protein Design and Wet Lab teams New AI system designs proteins that successfully bind to target molecules, with potential for…
Machine learning has revolutionized various fields, offering powerful tools for data analysis and predictive modeling. Central to these models’ success is hyperparameter optimization (HPO), where the…
Hypergraphs, which extend traditional graphs by allowing hyperedges to connect multiple nodes, offer a richer representation of complex relationships in fields like social networks, bioinformatics, and…
My goal is to cover the 3Ps: People, Projects and Process. In that order of importance. And my target is the “50:50” rule.Photo by Djim Loic…
Label-efficient segmentation has emerged as a crucial area of research, particularly in point cloud semantic segmentation. While deep learning techniques have advanced this field, the reliance…
Learnings as an AI & Robotics Associate Editor with 100 Peer ReviewsPhoto by Annie Spratt on UnsplashI will share what I have learnt about the academic…
Understanding social interactions in complex real-world settings requires deep mental reasoning to infer the underlying mental states driving these interactions, known as the Theory of Mind…
Dissecting “Reinforcement Learning” by Richard S. Sutton with Custom Python Implementations, Episode IIIWe continue our deep dive into Sutton’s great book about RL [1] and here…
This is part 3 of my new multi-part series 🐍 Towards Mamba State Space Models for Images, Videos and Time Series.Mamba, the model to be said…
The success of ANNs stems from mimicking simplified brain structures. Neuroscience reveals that neurons interact through various connectivity patterns, known as circuit motifs, which are crucial…