Sensing and mobility

04 सितम्बर 2020

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A smart sensor is a device that takes input from the physical environment and uses built-in compute resources to perform predefined functions upon detection of specific input and then process data before passing it on.

The vast amount of data collected through Sensing technologies are a core component of the Internet of Things (IoT) which can lead to insights that are applicable across a range of scenarios and industries.

The smart sensor is also a crucial and integral element in the Internet of Things (IOT) and almost anything imaginable can be outfitted with a unique identifier (UID) and transmitted over the Internet

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By combining sensor technologies with AI, machines are gaining a better understanding of the world around them, enabling mobility and manipulation of objects.

Technologies in this trend include AR cloud, autonomous driving and flying vehicles. Factors that drive the market growth include increase in demand for automobile & electronics and development of smart cities.

Over the next decade AR cloud will create a 3D map of the world, enabling new interaction models and in turn new business models that will monetize physical space.

The global smart sensor market size is expected to grow from USD 36.6 billion in 2020 to USD 87.6 billion by 2025, at a CAGR of 19%.The drivers fuelling the growth of the market are the increasing implementation of smart sensors in various manufacturing industries and escalating demand for smart sensors by automobile manufacturers to deliver improved safety and comfort.

The key players in mobility technologies market include Qualcomm Inc. (U.S.), Sierra Wireless (Canada), Apple Inc. (U.S.), Samsung Electronics Corporation Ltd. (South Korea) and Nuance Communication Inc.

Sensor proliferation and sensor fusion will continue to accelerate as security within the IoT and make it safer to transmit important data thus enhancing remote operating capabilities.

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  • Shankar Kumar
    18 सितम्बर, 2021

    100000

Medical AI

Artificial Intelligence has unimaginable potential. Very soon, it will revolutionize every area of our life, including medicine. Artificial intelligence will prove to be the next successful area of cooperation between humans and machines. This collaboration shall enhance efficiency benefitting many around the world.
DeepMind Technologies is a UK based artificial intelligence company and research laboratory founded in September 2010 which was acquired by Google in 2014. DeepMind’s health team merged with Google Health so as to build products that support care teams and improve patient outcomes. Google Health is tapping into AI’s potential to help in cancer diagnosis, predicting patient outcomes, averting blindness and more. Together with the company’s DeepMind branch, Google Health has recently come up with an AI-based solution for identifying cancer.
IBM’s dedicated health branch, Watson Health, was set up as a service to bring AI’s helping hand to stakeholders within the healthcare sector from payers to providers. With the power of cognitive computing, Watson Health has aided several renowned organizations like Mayo Clinic with its cancer clinical trial and Biorasi to bring drugs to the market faster while slashing costs.
Researcher Frost & Sullivan said artificial intelligence systems will generate $6.7 billion in global revenue from healthcare by 2021.
Traditional ML technologies are incompatible with biomedical raw data formats, and there are few standards for data standardization, normalization and harmonization. BioSymetrics solves this problem by deploying its primary solution, Augusta, which is a pre-processing and analytics platform that can process large amounts of data (siloed and raw data) for predictive analytics. This is useful for capturing the huge amount of data released from the 25B IoT devices and other biomedical data types (EEG, MRI and others) and deriving actionable insights from them. The customized and flexible tool can be used by scientists, providers, hospitals, biopharmaceutical companies etc. Augusta is the first biomedical specific machine learning framework. Augusta is designed to transition time from data pre-processing and integration to model building and interrogation using familiar toolsets within Python.
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Artificial Intelligence will redesign healthcare. AI could help medical professionals in designing treatment plans and finding the best suited methods for every patient.

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