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Month: November 2023

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  • Meet circ2CBA: A Novel Deep Learning Model that Revolutionizes the Prediction of circRNA-RBP Binding Sites

Meet circ2CBA: A Novel Deep Learning Model that Revolutionizes the Prediction of circRNA-RBP Binding Sites

In a recent development, a team of researchers from China have introduced a deep learning model, named circ2CBA, that promises to revolutionize the prediction of binding sites between circular RNAs…

HiLabs adds two leadership positions to its Product Delivery team

HiLab’s product leadership additions underscore the AI health tech’s commitment to customer success amid rapid growth.  HiLabs, maker of the healthcare data AI engine MCheck, announced it has added two…

CTIA Wireless Foundation awards Catalyst 2023 Winners

ReThink, a start-up using 5G to prevent cyberbullying, receives top grant of $100,000 CTIA Wireless Foundation announced the 2023 winners of Catalyst, a competitive grants program for social entrepreneurs using 5G and…

BreachLock recognized as Fast Mover in 2023 GigaOm PTaaS Radar Report

BreachLock has been recognized by GigaOm as a market leader and fast mover in the 2023 GigaOm PTaaS Radar Report BreachLock, the global leader in human-delivered, AI-powered penetration testing services is…

Researchers at the University of Oxford Introduce DynPoint: An Artificial Intelligence Algorithm Designed to Facilitate the Rapid Synthesis of Novel Views for Unconstrained Monocular Videos

The computer vision community has been focusing significantly on novel view synthesis (VS) due to its potential to advance artificial reality and enhance a machine’s ability to understand visual and…

This AI Paper from Stanford Introduces Codebook Features for Sparse and Interpretable Neural Networks

Neural networks have become indispensable tools in various fields, demonstrating exceptional capabilities in image recognition, natural language processing, and predictive analytics. However, there is a longstanding challenge in interpreting and…

MIT Researchers Introduce LILO: A Neuro-Symbolic Framework for Learning Interpretable Libraries for Program Synthesis

Big language models (LLMs) are becoming increasingly skilled in programming in various contexts, such as finishing partly written code, interacting with human programmers, and even figuring out challenging programming riddles…

MIT Researchers Introduce LILO: A Neuro-Symbolic Framework for Learning Interpretable Libraries for Program Synthesis

Big language models (LLMs) are becoming increasingly skilled in programming in various contexts, such as finishing partly written code, interacting with human programmers, and even figuring out challenging programming riddles…

Alternating updates for efficient transformers

Posted by Xin Wang, Software Engineer, and Nishanth Dikkala, Research Scientist, Google Research Contemporary deep learning models have been remarkably successful in many domains, ranging from natural language to computer…

Alibaba Cloud Unveils AI Innovations To Challenge Amazon And Microsoft

At its annual flagship tech event Apsara Conference, Chinese tech giant Alibaba unveiled its upgraded artificial intelligence (AI) model as part of its ongoing commitment to fuel AI advancement in…