Introduction Deep learning neural networks, which are at the heart of modern artificial intelligence, are frequently characterized as “black boxes” with mysterious inner workings. However, recent research casts doubt on… Read More »Recent Studies Find Ways To Demystify AI Black Boxes
The rapid rise in machine learning applications in criminal justice, hiring, healthcare, and social service intentions substantially impacts society. These wide applications have heightened concerns about their potential functioning amongst… Read More »CMU AI Researchers Present A New Study To Achieve Fairness and Accuracy in Machine Learning Systems For Public Policy
The Chinese e-commerce giant Alibaba launched a new server chip, Yitian 710, which it hopes will help boost its cloud computing business and compete against U.S.-based companies like Amazon in this… Read More »Alibaba Unveils ‘Yitian 710’, Custom ARM-Based Server Chip To Boost Its Cloud Computing Business
Today’s artificial intelligence technology is intended to mimic nature and replicate the same decision-making abilities that people develop naturally in a computer. Artificial neural networks, like living brains, are made… Read More »MIT CSAIL, TU Wien, and IST Researchers Introduce Deep Learning Models That Require Fewer Neurons
Every day, people make countless decisions based on their understanding of their surroundings as a continuous sequence of events. Artificial intelligence systems that can predict people’s future activities are critical… Read More »Facebook AI Introduces ‘Anticipative Video Transformer’ (AVT): An End-To-End Attention-Based Model For Action Anticipation In Videos
Facebook has teamed up with 13 universities in 9 countries to create the first-person perspective dataset Ego4D. It contains more than 700 project participants, wearing cameras and collecting 2200+ hours worth… Read More »Facebook AI Introduces Ego4D Dataset, A Step Towards Egocentric Perception
The world is a prominent, confusing place. We have all the technology to make navigation more accessible. However, we still rely on traffic lights and steel for safety measures because… Read More »AI Researchers Developed A Deep Learning Model To Predict Traffic Crashes Before They Happen
Cambridge Quantum (“CQ”) announced the release of the world’s first toolkit and an open-source library for Quantum Natural Language Processing (QNLP), called ‘lambeq’. Speaking in simple words, ‘lambeq’ is the… Read More »Cambridge Quantum (CQ) Open-Sources ‘lambeq’: A Python Library For Experimental Quantum Natural Language Processing (QNLP)
The Life Science company Sartorius open-sourced ‘LIVECell’, a deep learning dataset for label-free quantitative segmentation of live cell images. This was announced via a research paper published in Nature Methods magazine. The… Read More »Sartorius Open-Source ‘LIVECell’, A Deep Learning Dataset For Label-Free Live Cell Segmentation