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Deep learning is a subset of artificial intelligence and machine learning that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech recognition, language translation and others. Deep learning is responsible for many of the recent breakthroughs in AI such as Google DeepMind's AlphaGo, self-driving cars, intelligent voice assistants and many more. The accelerated deep learning frameworks/chipsets allow researchers and data scientists can significantly speed up deep learning training, that could otherwise take days and weeks to just hours and days. The chipset's highly flexible architectures can learn directly from raw data and can increase their predictive accuracy when provided with more data.

In 2019, it has been reported that digital therapeutics company named Kaia Health will be launching a virtual trainer app that can track exercises and provides real-time audio feedback feature amongst others. The app is powered by AI-powered motion tracking technology and also uses a smartphone. The same has been developed with the reference of fitness experts and physiotherapists. The combination of personalized training and AI-powered motion tracking technology will be offering a customized full-body workout featuring a whole variety of exercises. The app not only will help you to workout but also save consumers spending an expensive personal trainer fees that is usually paid to training experts for workout training. The application puts users exercise performance in control with a virtual personal trainer which accompanies their steps.

"Artificial Intelligence (AI) in Healthcare – A Hope or another Hype? Recently, cancer diagnosis combines histological staining associated with tissue biopsies, and an assessment of the physical properties regarding potentially cancerous cells. The early detection of cancer still remains a major goal in modern medicine. In 2018, the researchers of Mechanobiology Institute, the Massachusetts Institute of Technology, USA and National University of Singapore, have essentially developed a machine learning pipeline for cell nuclei images analysis which will eventually help in detecting and diagnosing cancer in an early stage."

Connected cars are capable of optimizing their own operations and maintenance processes and also handling the convenience & comfort of passengers using inbuilt sensors. The car can communicate through various ways to other devices such as vehicle-to-vehicle (V2V), Vehicle-to-infrastructure (V2I), vehicle-to-pedestrian/phone (V2P) or vehicle-to-everything (V2X) for providing information like platooning or changing lights when there are no other cars at the same time. Internet access is obtained usually by connecting to a local area network (LAN). Increased consumer demand for connectivity in vehicles enables the customers to connect their cell phones and tablets to the vehicle's infotainment systems and access upgraded entertainment and information, which is expected to accelerate the growth of global connected car m2m connections and services market during the forecast period.

3D Printing in Education Market estimated to exhibit of 16% by 2027, with a significant demand for skill based and practice oriented learning techniques for students says Absolute Markets Insights

Cardiac Rhythm Management (CRM) is the treatment of arrhythmias, which are heart rhythm disorders. Arrhythmias cause dizzy spells, blackouts, palpitations and sudden cardiac arrest in patients. Cardiac Rhythm Management usually involves implanting of electronic devices such as defibrillators and pacemakers. Cardiac rhythm management devices are used to determine heart health and enable the physicians to offer a faster diagnosis. Various CRM devices are also being utilized to monitor patient activity and intracardiac pressures. The extensive use of cardiac rhythm management devices (CRMDs) is substantially improving the long-term prognosis and survival rates.

As countries import & export of good is interlinked with economic growth, marine insurance plays a very crucial role in industrial growth. Thus any transport of cargo or freight is always insured which will drive the market growth in the forecast period. One of the main concern for this market is the new technological advances that are used to moves goods via marine transport. Insurers are facing a challenge in providing policies which can cover the various technological devices used in freight logistics. This may refrain the insurers from providing better policies for freights, which may create an adverse impact on market growth. However, many technological tools are also providing opportunities to enhance logistics process of marine transport. In various industry, there is sudden boom in the usage technology namely internet of things (IoT) which is making it easier for business to process.

Geospatial Imagery Analytics Market by 2026: Studied in Detail by Focusing on Product Type with Top Companies like Fugro N.V., Google Inc., Trimble Navigation Ltd., Environmental Systems Research Institute Inc. (Esri), Planet Labs Inc., UrtheCast Corp., KeyW Corporation, Satellite Imaging Corporation, RMSI, and Maxar Technologies and others

Global Report on Management Solutions Market Predicated To Grow During The Forecast Period 2026 key players like Misys, SS&C Tech, SimCorp, Eze Software, eFront, Macroaxis, Dynamo Software, Elysys, S.A.G.E., TransparenTech

Complete Research on Facial Recognition Market 2019 future trends, analysis, growth by global market research by top key players 214 Technologies Inc, A1 Communications Korea, Advanced Biometrics, AmpleTrails, Animetrics, ARH INC., Ayonix corp., Cognitec Systems GmbH