Technology Engineering Afraid your fish is too fishy? Microneedles can tell when things start getting rancid long before we notice smells. Breakthroughs, discoveries, and DIY tips sent every weekday. A new biosensor made out of needles most commonly seen in dermatology clinics and medspas could make the fresh fish " smell test " seem antiquated. For as long as humans have eaten fish, we've identified rot or spoilage by looking for a handful of physical signs .

For centuries, humankind has been captivated by the thought of life on other planets. But how will we recognise it when we see it? Researchers have developed an artificial intelligence system that can detect signs of life with 90 per cent accuracy. And they say it signifies a'significant advance' in our abilities to discover life across the solar system and beyond. Many of the components necessary for life, such as amino acids and nucleotides needed to make DNA, have been detected in space.

We consider a network of smart sensors for an edge computing application that sample a time-varying signal and send updates to a base station for remote global monitoring. Sensors are equipped with sensing and compute, and can either send raw data or process them on-board before transmission. Limited hardware resources at the edge generate a fundamental latency-accuracy trade-off: raw measurements are inaccurate but timely, whereas accurate processed updates are available after processing delay. Hence, one needs to decide when sensors should transmit raw measurements or rely on local processing to maximize network monitoring performance. To tackle this sensing design problem, we model an estimation-theoretic optimization framework that embeds both computation and communication latency, and propose a Reinforcement Learning-based approach that dynamically allocates computational resources at each sensor. Effectiveness of our proposed approach is validated through numerical experiments motivated by smart sensing for the Internet of Drones and self-driving vehicles. In particular, we show that, under constrained computation at the base station, monitoring performance can be further improved by an online sensor selection.

The first question pops into our mind is "what is digital twin technology?" A virtual replica of a tangible object is called a "digital twin." It could be anything basic like a piece of furniture or something as complex as an automobile or a manufacturing production line. All the components of the object are simulated by the digital twin to provide a virtual proxy. What advantages do digital twin offer?

Smart mobility infrastructure management company Iteris has unveiled a new artificial intelligence-powered smart sensor for smart intersections. Iteris claims Vantage Apex is the industry's first 1,080p high-definition (HD) video and four-dimensional (4D) radar sensor with integrated artificial intelligence (AI) algorithms. Vantage Apex identifies objects using Iteris' AI video analytics, image library, high-performance GPU/CPU-based computing, machine learning and neural network algorithms. This enables high-precision and detailed classification of many different vehicle types and vulnerable road users, such as pedestrians and cyclists. According to Iteris, using forward-fire radar technology to'virtually' eliminate occlusion, the Vantage Apex hybrid sensor uses 4D/HD radar technology with a field of view exceeding 600 feet.

Today businesses around the world are extracting the potential outcome by deploying IoT in their business operations. They use it to create new and optimized business possibilities. The firm growth of IoT in various industries is spectacular, whereas AI and its influence on a professional and personal level are considered undervalued. However, combining IoT with rapidly improving AI technologies can design'smart machines' that stimulate intelligent behaviours to make a precise decision without any human interference. Thus, AI-IoT together minimizes chances of error and ensures efficiency along with productivity.

A smart city is a municipality that uses information and communication technologies (ICT) to increase operational efficiency, share information with the public and improve both the quality of government services and citizen welfare. While the exact definition varies, the overarching mission of a smart city is to optimize city functions and drive economic growth while improving quality of life for its citizens using smart technology and data analysis. Value is given to the smart city based on what they choose to do with the technology, not just how much technology they may have. Several major characteristics are used to determine a city's smartness. A smart city's success depends on its ability to form a strong relationship between the government -- including its bureaucracy and regulations -- and the private sector.

In 2018, the smart sensor market was valued at $30.82 billion and is expected to reach $85.93 billion by the end of 2024, registering an increase of 18.82% per year during the forecast period 2019-2024. With the growing roles that IoT applications, vehicle automation, and smart wearable systems play in the world's economies and infrastructures, MEMS sensors are now perceived as fundamental components for various applications, responding to the growing demand for performance and efficiency. Connected MEMS devices have found applications in nearly every part of our modern economy, including in our cities, vehicles, homes, and a wide range of other "intelligent" systems. As the volume of data produced by smart sensors rapidly increases, it threatens to outstrip the capabilities of cloud-based artificial intelligence (AI) applications, as well as the networks that connect the edge and the cloud. In this article, we will explore how on-edge processing resources can be used to offload cloud applications by filtering, analyzing, and providing insights that improve the intelligence and capabilities of many applications.

Growth of 5G and Edge Computing is an equally important factor in development of self driving cars. However the research in this field absolutely fascinating & I believe it will go from strength to strength. But, the massive problems that still remain will need to be fully resolved before autonomous cars become a reality. Self-driving cars are going to be a milestone in human progress The connected world is the future of industry. This is also true for self driving cars.

In life, bacteria are everywhere. Even on the cleanest sheets and pillowcases, bacteria are there. You can't see them with the naked eye but that does not mean they can not harm you. They cause you to get colds, viral infections, and put your life at risk. How can one get rid of these bacteria? ROCKUBOT: Sterilizing Robot is here to help.