ROBOTICS 5ab356e70402d10aa42866f8 False 36 2
background image not found
update image not found
Demand for Artificial intelligence & robotics experts to be higher by 50-60% in 2018 Artificial intelligence (AI) is the buzz in the jobs bazaar as machine learning and the Internet of Things (IoT) increasingly influence business strategies and analytics. Human resource and search experts estimate a 50-60% higher demand for AI and robotics professionals in 2018 even as machines take over repetitive manual work. “Machines are taking over repetitive tasks. Robotics, AI, big data, and analytics will be competencies that will be in great demand, ” said Shakun Khanna, senior director at Oracle for the Asia-Pacific region. Organizations are being pushed to become even more efficient as jobs turn predictable, said Rishabh Kaul, co-founder of recruitment startup Belong, which helps clients search for and hire AI professionals. “There is a significant increase in the adoption of AI and automation across enterprises, leading to a skyrocketing of demand for professionals in these fields, ” he said. Jobs in the IoT ecosystem have grown fourfold in the last three years, according to estimates by Belong. These are related to engagement technologies and data capture among other areas. Demand for professionals in the realm of data analysis, including data scientists, has grown by almost 76% in the past few years in AI. The demand is at the entry level as well as middle to senior ranks across sectors such as business, financial services and insurance (BFSI), e-commerce, startups, business process outsourcing (BPO), information technology (IT), pharmaceuticals, healthcare, and retail. “Robotics is required by process-oriented companies for a better customer experience. It helps in cutting down cost and improves efficiency, ” said Thammaiah BN, managing director, Kelly Services India. “AI is helping companies to be in spaces so far not thought of. Organizations can accomplish new things, new products, and services through AI.” Companies want to mine the data they have accumulated over the years, said Sinosh Panicker, partner, Hunt Partners. “AI helps them predict and position their products better and push out new things, ” he said. However, there’s an acute demand-supply mismatch for AI talent across industries, experts said. Candidates for AI roles related to natural language processing (NLP), deep learning, and machine learning are thin on the ground, according to the Belong Talent Supply Index. The ratio of the number of people to jobs in deep learning is 0.53, while for machine learning it’s 0.63 and for NLP it’s 0.71. Only 4% of AI professionals in India have worked on cutting-edge technologies such as deep learning and neural networks, the key ingredients in building advanced AI-related solutions, said Kaul. A few academic institutions such as the Indian Institutes of Technology (IITs) in Kharagpur and Kanpur, the Indian Institute of Information Technology (IIIT) in Hyderabad and the Indian Institute of Science (IISc) in Bengaluru have specialized disciplines or centres for artificial intelligence and machine learning. “In fact, according to our internal research, less than 2% of professionals who call themselves data scientists or data engineers have a PhD in AI-related technologies, ” said Kaul. Such is the need for talent that it is prompting top business schools, including the Indian Institutes of Management (IIMs), to include AI and machine learning in their curriculum and expose students to the full ecosystem of IoT. The IIMs in Bangalore and Kozhikode and premier B-Schools like the SP Jain Institute of Management & Research (SPJIMR) are offering courses on AI, robotics, and IoT that can be connected to business strategy to enhance performance, output and customer experience. Some are learning skills through various other courses, including online ones. “People who are keeping themselves abreast with new age technologies and have the right set of required skills under the same are in high demand, ” said ABC Consultants director Ratna Gupta. Content gathered by BTM robotics training centre, robotics in Bangalore, stem education in Bangalore, stem education in Bannerghatta road, stem education in JP Nagar, robotics training centres in Bannerghatta road, robotics training centres in JP Nagar, robotics training for kids, robotics training for beginners, best robotics in Bangalore,
update image not found
Google’s AI can diagnose heart disease by looking at a patient’s retina, say, researchers They say a person’s eyes are the windows to their soul. Researchers at Google want to take that expression and turn it into something a little more grounded in reality. In a new study, experts working for the internet search giant revealed that it’s possible to predict heart disease in patients simply by examining their retinas. The details of this study were published recently in the journal Nature Biomedical Engineering. The eye exam is a normal part of any standard physical examination done by a doctor. Through studying a person’s eyes, doctors can determine what kind of diseases they may have or will have in the future. However, when it comes to heart disease, things are a little more complicated. To determine a person’s risk level for certain types of diseases of the heart, it’s usually necessary to stick something into a person’s body. But Google wants to change things completely, by allowing doctors to determine whether or not a person is at risk of developing certain heart diseases all by analyzing the available information on their retina. They have created a method for this with the use of Artificial Intelligence (AI), and are hoping to improve it with further testing. A report on the AI-based method developed by Google states that medical researchers have already shown that there is a link between a person’s retinal vessels and the apparent risk of a major cardiovascular attack. So it was only logical for the company to begin testing the algorithm that it developed to quantify the association effectively. What they found was that their algorithm could accurately predict which patients would suffer from heart diseases within the next five years, and which ones would not, at up to 70 per cent accuracy. In total, they analyzed data from 284, 335 patients and validated on two independent data sets of 12, 026 and 999 patients to arrive at their conclusions. According to Lily Peng, a doctor and a lead researcher on the project at Google, there are still a number of ways to improve on their method, particularly in assessing its accuracy and effectiveness. “The caveat to this is that it’s early, [and] we trained this on a small data set, ” she explained. “We think that the accuracy of this prediction will go up a little bit more as we kind of get more comprehensive data. Discovering that we could do this is a good first step. But we need to validate.” Google algorithm generates a sort of “heatmap, ” or a graphical representation of the data gathered, whenever it’s in use. It reveals which pixels in an image were the most important for predicting the risk factor of heart disease in patients. At first, the team behind the method was working on predicting eye disease. But they eventually expanded their tests to cover other factors, which led to their surprise discovery of a method to predict heart disease from mere retinal scans. While the process shows plenty of promise, it will be a long time before you see it in use in any hospitals or clinics near you. If you ask Google’s Peng, she says that it will be more in the “order of years” instead of just a few months before they hit a breakthrough that makes it compatible with mainstream medical practices. “It’s not just when it’s going to be used, but how it’s going to be used, ” she added. The team at Google is well aware of the other potential applications of their discovery, and they hope that researchers in other places take what they have done so far and try to build upon it. Content gathered by BTM robotics training centre, robotics in Bangalore, stem education in Bangalore, stem education in Bannerghatta road, stem education in JP Nagar, robotics training centres in Bannerghatta road, robotics training centres in JP Nagar, robotics training for kids, robotics training for beginners, best robotics in Bangalore,
update image not found
Sony revives Aibo robot dog after 11 years Sony is to breathe new life into its Aibo robotic dog, releasing a new - and much cuter - version more than a decade after shelving its original line of tech pets. The Japanese robot-dog can respond to human actions and voice commands and bark, sit and wag its tail and play. Aibo can also learn actions that keep its users happy, while users will be able to connect the dog to the cloud to let it learn further actions from other Aibo dogs. Sony's original Aibo was one of the first artificial intelligence products built for ordinary consumers, first released in 1999. Aibo, a meaning partner in Japanese (but which neatly also stands for AI bot), had new models released every year until 2005. The futuristic family pet preceded smartphones and apps and was used both as a domestic toy and in research projects exploring human and AI interaction. The original featured lifelike, if slightly slow and clunky, movements and used computer vision to interact with the world around it. However, Sony ultimately stopped production of Aibo in 2006 after it was forced to slash its product line-up in a cost-cutting exercise. But the robot remained an early icon of future homes, and Sony briefly revived the dog for use in its Xperia phone marketing campaigns. Aibo will have OLED eyes, stand a foot tall, weigh two kilograms, have a two-hour battery life and start at 198, 000 Yen (£1, 300). It will also set users back a monthly subscription fee worth around £20 per month. Aibo will only be available in Japan. Content gathered by BTM robotics training centre, robotics in Bangalore, stem education in Bangalore, stem education in Bannerghatta road, stem education in JP Nagar, robotics training centres in Bannerghatta road, robotics training centres in JP Nagar, robotics training for kids, robotics training for beginners, best robotics in Bangalore.
update image not found
Crop Counting Robot Today's crop breeders are trying to boost yields while also preparing crops to withstand severe weather and changing climates. To succeed, they must locate genes for high-yielding, hardy traits in crop plants' DNA. A robot developed by the University of Illinois to find these proverbial needles in the haystack was recognized by the best systems paper award at Robotics: Science and Systems, the preeminent robotics conference held at Pittsburgh. There's a real need to accelerate breeding to meet global food demand, " said principal investigator Girish Chowdhary, an assistant professor of field robotics in the Department of Agricultural and Biological Engineering and the Co-ordinated Science Lab at Illinois. "In Africa, the populations will more than double by 2050, but today the yields are only a quarter of their potential." Crop breeders run massive experiments comparing thousands of different cultivars, or varieties, of crops over hundreds of acres and measure key traits, like plant emergence or height, by hand. The task is expensive, time-consuming, inaccurate, and ultimately inadequate -- a team can only manually measure a fraction of plants in a field. "The lack of automation for measuring plant traits is a bottleneck to progress, " said first author Erkan Kayacan, now a postdoctoral researcher at the Massachusetts Institute of Technology. "But it's hard to make robotic systems that can count plants autonomously: the fields are vast, the data can be noisy (unlike benchmark datasets), and the robot has to stay within the tight rows in the challenging under-canopy environment." Illinois' 13-inch wide, 24-pound TerraSentia robot is transportable, compact and autonomous. It captures each plant from top to bottom using a suite of sensors (cameras), algorithms, and deep learning. Using a transfer learning method, the researchers taught TerraSentia to count corn plants with just 300 images, as reported at this conference. "One challenge is that plants aren't equally spaced, so just assuming that a single plant is in the camera frame is not good enough, " said co-author ZhongZhong Zhang, a graduate student in the College of Agricultural Consumer and Environmental Science (ACES). "We developed a method that uses the camera motion to adjust to varying inter-plant spacing, which has led to a fairly robust system for counting plants in different fields, with different and varying spacing, and at different speeds." This work was supported by the Advanced Research Project Agency-Energy (ARPA-E) as part of the TERRA-MEPP project at the Carl R. Woese Institute for Genomic Biology. The robot is now available through the start-up company, EarthSense, Inc. which is equipping the robot with advanced autonomy and plant analytics capabilities. TERRA-MEPP is a research project that is developing a low-cost phenotyping robot to identify top-performing crops led by the University of Illinois in partnership with Cornell University and Signetron Inc. with support from the Advanced Research Projects Agency-Energy (ARPA-E). Content gathered by BTM robotics training center, robotics in Bangalore, stem education in Bangalore, stem education in Bannerghatta road, stem education in JP nagar, robotics training centers in Bannerghatta road, robotics training centers in JP nagar, robotics training for kids, robotics training for beginners, best robotics in Bangalore,
update image not found
Sprawling Wheel Leg Robot Crawls and Climbs. The latest version of this skittery little sprawling robot can crawl like a turtle. We’re always impressed by the way David Zarrouk (a professor at Ben-Gurion University of the Negev by way of UC Berkeley’s Biomimetic Mill systems Lab) manages to extract a ton of functionality from the absolute minimum of hardware in his robots. In the past, we’ve seen clever designs like a steerable robot that only uses a single motor and a multi-jointed robot arm that uses a travelling motor to actuate all of its degrees of freedom. At the 2018 IEEE International Conference on Robotics and Automation (ICRA) in Brisbane, Zarrouk presented an update to STAR, the Sprawl-Tuned Autonomous Robot that we first wrote about in 2013. Called Rising STAR, or RSTAR, it takes the sprawling wheel-leg mobility and adds another degree of freedom that allows the body of the robot to move separately from the legs, changing its centre of mass to help it climb over obstacles. RSTAR is the latest in Zarrouk’s series of sprawling robots, designed to handle all kinds of terrain obstacles while minimizing the cost of transport. “Sprawl” in this context refers to the robot’s legs, which are angled (adjustably) downwards and outwards from the body. RSTAR has an added degree of freedom in that its body is able to change its location relative to the legs, altering the robot’s centre of mass. It seems like a simple change, but it enables a bunch of new behaviours—not only can the robot climb over larger obstacles without flipping over, but it can also climb vertically up closely spaced walls and “crawl” through narrow gaps by adopting a legged walking gait. While the adjustable centre of mass helps keep the robot more stable, as the video shows flipping over can actually be useful, since it enables the robot to switch between faster and more efficient round wheels and more capable spoke wheels (whegs). RSTAR’s top speed is about 1 m/s on hard flat surfaces, although its turtle gait means that it can handle extremely soft or granular surfaces (like thick mud or sand) without getting stuck. Content gathered by BTM robotics training centre, robotics in Bangalore, stem education in Bangalore, stem education in Bannerghatta road, stem education in JP Nagar, robotics training centres in Bannerghatta road, robotics training centres in JP Nagar, robotics training for kids, robotics training for beginners, best robotics in Bangalore,