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Latest Trends in the Field of Artificial Intelligence

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To appraise the trends of Artificial Intelligence (AI) 2020, we have to recall that 2018 and 2019 saw a large number of platforms, applications, and devices that depend on artificial intelligence and machine learning. Such technology patterns laid huge implications on programming and the Internet business. Moreover, its impacts on fields like healthcare services, assembling, manufacturing, agriculture, and automobile are valuable. The advancement of ML and AI-related advancements will have a long journey in 2020, or considerably further. As the hardware and skill expected to deploy AI become less expensive and progressively accessible, we will begin to see it utilized in an increasing number of tools, gadgets, and devices.


Why AI Is The Future Of Remote Security Monitoring

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Bottom Line: Real-time analysis of remote video feeds is rapidly improving thanks to AI, increasing the accuracy of remote equipment and facility monitoring. Agriculture, construction, oil & gas, utilities, and critical infrastructure all need to merge cybersecurity and physical security to adapt to an increasingly complex threatscape. What needs to be the top priority is improving the accuracy, insight, and speed of response to remote threats that AI-based video recognition systems provide. Machine learning techniques as part of a broader AI strategy are proving effective in identifying anomalies and threats in real-time using video, often correlating them back to cyber threats, which are often part of an orchestrated attack on remote facilities. The future of remote security monitoring is being defined by the rapid advances in supervised, unsupervised, and reinforcement machine learning algorithms and their contributions to AI-based visual recognition systems.


Intel and National Science Foundation Invest in Wireless-Specific Machine Learning Edge Research

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WIRE)--What's New: Today, Intel and the National Science Foundation (NSF) announced award recipients of joint funding for research into the development of future wireless systems. The Machine Learning for Wireless Networking Systems (MLWiNS) program is the latest in a series of joint efforts between the two partners to support research that accelerates innovation with the focus of enabling ultra-dense wireless systems and architectures that meet the throughput, latency and reliability requirements of future applications. In parallel, the program will target research on distributed machine learning computations over wireless edge networks, to enable a broad range of new applications. "Since 2015, Intel and NSF have collectively contributed more than $30 million to support science and engineering research in emerging areas of technology. MLWiNS is the next step in this collaboration and has the promise to enable future wireless systems that serve the world's rising demand for pervasive, intelligent devices."


Intel, NSF invest in machine learning for wireless systems

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The two organizations have joined efforts in the Machine Learning for Wireless Networking Systems (MLWiNS) program to support research that focuses on enabling ultra-dense wireless systems and architectures that meet the throughput, latency, security, and reliability requirements of future applications. At the same time, the program will also target research on distributed machine learning computations over wireless edge networks, to enable a broad range of new applications. "Since 2015, Intel and NSF have collectively contributed more than $30 million to support science and engineering research in emerging areas of technology." says Gabriela Cruz Thompson, director of university research and collaborations at Intel Labs. "MLWiNS is the next step in this collaboration and has the promise to enable future wireless systems that serve the world's rising demand for pervasive, intelligent devices." The program is aimed at addressing the increasing demand for advanced connected services and devices.


The internet of things (IoT)

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Why Everyone should know basics of Artificial Intelligence? Why blockchain Is Future of Tech industry . Smart Grid - A solution to power crisis?


MIT fit tens of thousands of artificial brain synapses on a single chip

Engadget

Someday, we might be able to carry around tiny, AI brains that can function without supercomputers, the internet or the cloud. Researchers from MIT say their new "brain-on-a-chip" design gets us one step closer to that future. A group of engineers put tens of thousands of artificial brain synapses, known as memristors, on a single chip that's smaller than a piece of confetti. In a paper published in Nature Nanotechnology, the researchers explain how their brain-inspired chip was able to remember and recreate a gray-scale image of Captain America's shield and reliably alter an image of MIT's Killian Court by sharpening and blurring it. Those tests may seem minor, but the team believes the chip design could advance the development of small, portable AI devices and carry out complex computational tasks that today only supercomputers are capable of.


SmartAC.com says its sensors and service can predict HVAC maintenance needs and prevent costly breakdowns

PCWorld

It's easy to forget about your HVAC system--until it stops working and you find yourself baking in the summer heat or freezing in the winter cold. And the last thing you want to do is put yourself at the mercy of an HVAC repair company on the first searing-hot or icy-cold day of the season. SmartAC.com is launching out of stealth mode today with a sensor-and-machine-learning platform that it says will monitor the health of your entire HVAC system, and warn you of potential breakdowns before they happen. The company says it has enough confidence in its tech that it will offer a customer one year of free service in the event of an unpredicted breakdown. The heart of the system is a suite of three sensors that link to a central hub that connects in turn to your Wi-Fi network.


2020 Supply Chain Technology Trends: Where Do Young Technologies Fit On A Maturity Curve?

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There are a number of young technologies that are getting a lot of buzz. But how mature are these technologies? Which of these technologies offer solid ROI, which are worth piloting, and which should be ignored? There are technologies that are proven and widely adopted. In supply chain management, examples would be transportation management, warehouse management, and other well-known supply chain applications.


IoT is drastically changing the world for the better.

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IoT is drastically changing the world for the better. There was a time when internet connectivity was available only on phones and computers. In the past decade, this focus has shifted to all technologies. Gradually, we are seeing the development of devices that connect to the internet. All these devices collect and share data to make our lives easier. You must know what IoT is by now, but for general understanding IoT is a broad umbrella.


Ways, IoT is Improving Lives - IoT - Internet of Things

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The term Internet of Things is increasingly being used to define devices that specifically communicate with the local network, the internet, and each other, independent of human action. IoT is wearable and portable, creating a connected world by transforming surrounding physical objects into an ecosystem of information that rapidly changes the way humans live. The number of IoT devices has drastically increased in recent years. In fact, research by Cisco says, there will be as many as 50 billion connected devices by the year 2020. Innovations in IoT are continuing to make devices more intelligent, which in turn creates infinite technological solutions that make human lives easier.