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Syntropy and the Internet of Things: Solving Key Industry Challenges

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At its core, an IoT network is a group of connected devices that communicate without human involvement. Popular examples include autonomous cars, smart appliances, and wearable tech. The global IoT market -- already worth more than $700 billion -- is expected to grow rapidly in the years to come. What is often ignored, however, is the immense volume of information that must be facilitated across these devices on a continuous basis. By building IoT networks with Syntropy Stack, businesses, developers, and end users all reap the rewards.


Top Self-Driving Car Trends that will Surely Rev Up in 2022

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The popularity of self-driving cars or autonomous cars or driverless cars is increasing day by day. Just imagine a city with such cars dropping and picking people, there would be no hustle looking for parking spaces, getting traffic tickets, or no need for multiple cars per household too. And so the self-driving car trends in 2022 are even more exciting! When we look at the automakers and the tech companies they are developing complex technology that will allow cars to drive themselves. The Institute of Electrical and Electronics Engineers (IEEE) predicts that driverless cars will take over up to 75 percent of vehicles on the road by the end of 2040.


5G & The Future Of Connectivity

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The next generation of wireless technology could affect a wide range of industries, from healthcare to financial services to retail. The technology enables faster data transfer speeds -- up to 10x faster than the speeds achievable with older standards -- lower latency, and greater network capacity. As a result, 5G creates a tremendous opportunity for numerous industries, but also sets the stage for large-scale disruption. Download the free report to understand what 5G is, the industries it's disrupting, and the drivers paving the way for its implementation. As of June 2021, commercial 5G services have already been deployed across more than 1,500 cities in 60 countries worldwide, according to Viavi Solutions. The number of IoT devices -- which will rely on 5G to transmit vast amounts of data in real time -- is projected to grow from 12B in 2020 to 30B in 2025, per IoT Analytics, more than 4 devices for every person on Earth. Executives across industries are already jostling to take advantage of 5G tech -- and avoid being disrupted by it. Earnings call mentions of 5G have soared in recent years. From enabling remote robotic surgery and autonomous cars to improving crop management, 5G is poised to transform many of the world's biggest industries. The impact of 5G on manufacturing could be huge. It's estimated that improved connectivity through 5G will create $13T in global economic value across industries by 2035, according to IHS Markit. A third of that total is projected to come from the manufacturing sector alone. This would enable manufacturers to build "smart factories" that rely on automation, augmented reality, and IoT. And with 5G powering large amounts of IoT devices and sensors around the factory, artificial intelligence can be integrated more deeply with operations. On fast-paced assembly lines, even microseconds of latency can cause costly disruptions for the manufacturer.


AI Birth to Boom

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From references of Mechanical men and artificial beings in Greek myths, such as the golden robots of Hephaestus and Pygmalion's Galatea, the Antikythera to realistic humanoid automatons built by craftsmen from diverse civilizations, including Yan Shi, Hero of Alexandria, Al-Jazari, Pierre Jaquet-Droz, and Wolfgang von Kempelen to the discovery of Leonardo Da Vinci's complex sentient machine diagrams, one thing has remained constant: Artificial intelligence has always piqued society's interest. AI has come a long way from Greek Mythology and Hollywood's outlandish creative interpretations over the last few decades to becoming mainstream in a whole gamut of applications from autonomous cars, to facial recognition to smart speakers. It's safe to say AI is gradually but surely getting on to the realistic side of the hype cycle. This boom in consumer side of AI is driving a massive shift in the enterprise ecosystem. The last decade has truly defined "DIGITAL" for enterprises with the incredulous boom of mobile, social, Internet and now AI.


How Artificial Intelligence Can Change Education - AI Summary

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Conversations about artificial intelligence usually involve robots, space exploration machines, and smart home devices. The impact of this technology on education is much less discussed, although AI could change it completely.


The Five Levels of Automation in Self-Driving Cars

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Self-driving cars are gaining popularity with each passing day. The global market for self-driving cars is expected to grow by a CAGR of 36.2%, garnering a revenue of USD 173.15 billion by 2023. Thus, the autonomous car segment holds great potential for businesses investing in it. Currently, Tesla is the industry leader, but the door is wide open for other entrants to capitalize on the growing market. Self-driving cars incorporate technologies such as computer vision, artificial intelligence, IoT sensors, and radars. These technologies are implemented at varying degrees, enabling different levels of automation.


Pinaki Laskar on LinkedIn: #BigData #SelfDrivingCars #artificialintelligence

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AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner How Company is Using #BigData in Self Driving Cars? Big data helps to reduce costs, identify market opportunities, satisfy customers, develop new products and improve its cars. The new generation of autonomous self-driving cars, whether electric or not, are equipped with hundreds of sensors and surrounded by smart technologies. Recent advances in the internet of things, smart cities and wireless communication enable these smart cars to communicate with the infrastructure and other smart cars. Autonomous connected vehicles and their interaction with smart cities will increase the amount of data that is generated and shared.


Pinaki Laskar on LinkedIn: #AI #machinelearning #deeplearning

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AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner What is needed to give #AI Consciousness and Emotions? The Real Super Intelligence (RSI) general-purpose technology platform is generalizing most valuable narrow approaches, in the fundamental ways that the global processing of mental/neural causal variables is what real consciousness about. The RSI with its future conscious machines is capable of control, monitoring, self-diagnosing, or introspecting of all internal processes. The RSI's Consciousness or Self-awareness or Self-knowledge does not require a biological origin, like the Neuronal Correlates of Consciousness (NCC), and modeling complex relationships between subjective mental states and brain states, between the conscious mind and the electro-chemical interactions in the brain and the whole body (mind–brain-body problem). This requires reflective and reflexive causal information mechanisms; for computers and machines must be aware of their environments to be categorized as self-aware, self-conscious, or self-knowing AI systems.


La veille de la cybersécurité

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The phrase "asleep at the wheel" could soon lose all meaning as Tesla and other automakers push self-driving cars closer to reality. CEO Elon Musk says select Tesla drivers could get their hands on "full self-driving" software as early as Oct. 9. The upgrade won't make the cars truly autonomous, but Musk dreams that one day people will safely fall asleep on their way home in a Tesla. That raises an obvious question: If a self-driving car does crash while you're snoozing, what happens? The answer could radically disrupt the insurance industry, potentially making some forms of auto insurance obsolete and saving drivers hundreds of dollars a year.


As Tesla pilots self-driving cars, auto insurance may become obsolete

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The phrase "asleep at the wheel" could soon lose all meaning as Tesla and other automakers push self-driving cars closer to reality. CEO Elon Musk says select Tesla drivers could get their hands on "full self-driving" software as early as Oct. 9. The upgrade won't make the cars truly autonomous, but Musk dreams that one day people will safely fall asleep on their way home in a Tesla. That raises an obvious question: If a self-driving car does crash while you're snoozing, what happens? The answer could radically disrupt the insurance industry, potentially making some forms of auto insurance obsolete and saving drivers hundreds of dollars a year. We're still years away from driverless cars speeding down the freeway, but simple automation is already present in many vehicles today.