Intel to enter PC gaming with it’s me GPU

Intel’s future consumer GPUs will be known as Intel Arc. The new Arc brand will encompass both the hardware and software that enable Intel’s high-end discrete GPUs, as well as several hardware generations. The first of them, originally known as DG2, is scheduled to arrive in Q1 2022 under the codename “Alchemist.” Intel’s Arc-based Alchemist GPUs will be available in both desktops and laptops in early 2022, with Intel intending to compete with both AMD and Nvidia in this space. While we don’t yet know much about the performance of…

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Air learning to train deep reinforcement algorithm for aerial boat navigation

Air Learning, an open-source simulator and gym environment where researchers may train RL algorithms for UAV navigation, was recently built by researchers at Harvard University and Google Research. This one-of-a-kind environment, described in a study published in Springer Link’s Special Issue on Reinforcement Learning for Real Life, has the potential to improve the performance of autonomous UAVs in real-world scenarios Reinforcement learning (RL) algorithms have produced extremely promising results in allowing increased autonomy in robots in recent years. However, most contemporary RL approaches are largely concerned with the architecture of…

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Researchers discovered flexible battery fueled by human sweat

Researchers at Nanyang Technological University, Singapore (NTU Singapore)  have created a flexible and stretchy battery that is fueled by human sweat. The prototype battery is made out of printed silver flake electrodes that create energy when wet. The battery, which is 2 cm by 2 cm and is as flat as a little paper bandage, is attached to a flexible and sweat-absorbing cloth that is stretchy and attachable to wearable devices such as watches. The team of scientists tested its gadget with fake human sweat to illustrate its potential application…

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AI technique to transform stained tissue into special stains : New research

UCLA researchers created a deep learning-based approach that may be used to reduce the requirement for human histotechnologists to generate unique stains by computationally converting existing pictures of H&E stained tissue into special stains. This AI-based technique was demonstrated by generating a full panel of special stains used for kidney tissue, namely Periodic acid–Schiff (PAS), Jones silver stain, and Masson’s Trichrome; all of these special stains were computationally transformed from existing images of H&E stained tissue biopsies using specialised deep neural networks. The researchers used this panel of unique stains…

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