Source – https://www.theweek.in/ Soft robots collect more useful information about their surroundings Creating soft robots has been a long-running challenge in robotics. Their rigid counterparts have a built-in advantage: a limited range of motion. Rigid robots’ finite array of joints and limbs usually makes for manageable calculations by the algorithms that control mapping and motion Read More
Tag: deep-learning
Source:-moneycontrol.com Deep learning, a technology based on artificial neural networks, has revolutionized artificial intelligence in the space of a few years. But what exactly is it? Used by Siri, Cortana and Google Now to understand speech and recognize faces, deep learning is often confused with the concept of artificial intelligence (AI), so much so that Read More
Source: xinhuanet.com JERUSALEM, June 17 (Xinhua) — Israeli researchers have developed an innovative microscopic method for creating 3D dynamic cell images, the northern Israel Institute of Technology (Technion) said on Wednesday. This deep-learning technology, published in the journal Nature Methods, may lead to the mapping of biological processes in living cells in super-resolution. The new Read More
Source: infoq.com Google Brain has released the pre-trained models and fine-tuning code for Big Transfer (BiT), a deep-learning computer vision model. The models are pre-trained on publicly-available generic image datasets and can meet or exceed state-of-the-art performance on several vision benchmarks after fine-tuning on just a few samples. Paper co-authors Lucas Beyer and Alexander Kolesnikov gave an overview of Read More
Source: xinhuanet.com JERUSALEM, June 3 (Xinhua) — Israeli researchers have developed a deep-learning framework to predict brain’s age, Ben-Gurion University (BGU) said Wednesday. This method may help trace the brain’s development and provide early warning of diseases, which are essential steps toward developing effective treatments. The brain’s age is not necessarily the same age as Read More
Source: hedgeweek.com RL One is a long/short strategy that generates returns through deep reinforcement learning, a category of machine learning that reacts and learns from its environment by determining which decision will result in the highest risk/reward trade-off. The reinforcement learning model predicts optimal long or short exposure to the S&P 500 Index on a Read More