Experts highlighted that Artificial Intelligence (AI) is creating new opportunities which could not be achieved by traditional technology and could be used for health care as well as many other present and future challenges in various sectors. "AI would not replace people but create new opportunities in various fields. It works on data, and if we could train our machines, it could do wonders for us in milliseconds by automating processes. It can be used for diagnostic purposes for various diseases, including Covid-19, and could prove very effective in remote areas where adequate health facilities are not available," said secretary, Department of Science & Technology (DST) Prof Ashutosh Sharma. "Key to success in using AI for various problems is to reach out to maximum people," Sharma said at an online'DST Azadi Ka Amrit Mahotsav Discourse Series New India @ 75' organised by the National Council for Science & Technology Communication and Vigyan Prasar.
What better time for a "next-generation" version of art to come crashing into the art world than 2021? After all, this is the unprecedented year that saw an explosion of demand and sales of NFTs or non-fungible tokens, which are inextricably tied to crypto-currency and blockchain technology. Specifically, we're now talking about art created by "artficial intelligence"… yes, the machines are taking over art too. In 2018, Christie's sold Portrait of Edmond de Belamy (2018), the first-ever original work of art created using artificial intelligence to come to auction (it sold for $432,500 against a high estimate of $10,000), Inspired by reports of the sale, Ben Kovalis and two like-minded childhood friends from Israel, Eyal Fisher and Guy Haimovitz, launched the Art AI Gallery one year later, in late 2019. It involves collections of curated work made using an algorithm that was created over the course of six months and then refined over the next year and a half.
National Olympic teams are using machine learning to gain an edge in competition over their opponents at the Tokyo Olympic Games 2020. Machine learning technologies are being used at the international sports event from athlete data tracking, coaches' real-time feedback that can tell athletes when to train and when to stop, to predicting sports injuries with algorithms. Machine learning algorithms analyze athlete data collected from multiple systems like Alibaba Group and Intel which partnered to run a 3D athlete-tracking system that allows coaches to probe into every minute movement of their Olympic athletes. The system relies on algorithms to understand the biomechanics of the movement of athletes captured by cameras and estimate the position of key body joints. As a field of artificial intelligence, computer vision enables machines to perform image processing tasks with the aim of imitating human vision.
Illustration: Chaitanya Dinesh Surpur Artificial intelligence (AI) is fast becoming a topic that is relevant to everyone today and, therefore, a subject that everyone ought to learn at least the rudiments of, say experts. From the humble milkman delivering packets of milk to households in the morning to the highest lawmakers and biggest industrialists, AI will increasingly touch everyone. "A lot of people look at AI as a vertical that calls for experts to develop," says Amit Anand, founding partner at Jungle Ventures, a VC firm in Singapore that has invested in several tech startups in India. However, both in his own mind and as an advisor to the Singapore government on the ethical use of AI, "We have taken a view that AI is going to affect everybody, and hence everyone should be knowledgeable and have a certain level of understanding of AI." Click here to see Forbes India's comprehensive coverage on the Covid-19 situation and its impact on life, business and the economy You can buy our tablet version from Magzter.com. To visit our Archives, click here.)
'The show must go on,' an often heard sentence that makes absolute sense in the pandemic hit the world. Yes, it all became at the end of 2019 when Covid-19 was first reported in Wuhan. Later, the virus spread across the globe and pushed governments to impose strict lockdowns. An international sports event that was supposed to take place in 2020 got delayed and finally, when people started living with the virus in 2021, the IOC and Japan, the host country, came forward to go on with it. One of the most welcomed guests in the summer Tokyo Olympics is artificial intelligence.
With the pandemic making work and learn-from-home the new norm and Artificial Intelligence (AI) creeping into our lives, there are several traditional jobs that are likely to fade away a few years from now. With digital calendars and assistants meticulously managing schedules and AI churning out products with precision, several workers may soon find machines replacing their function within an organisation. They may not attend all-important business meetings but the peon is omnipresent in the office, from conference rooms and cubicles to in the corridors. Bringing fresh tea, sending parcels in the courier, peons don several hats. They often know exactly what's happening in different corners of the office and enjoy a good rapport with people across levels.
Researchers from Israel have developed a neural network capable of generating'master' faces – facial images that are each capable of impersonating multiple IDs. The work suggests that it's possible to generate such'master keys' for more than 40% of the population using only 9 faces synthesized by the StyleGAN Generative Adversarial Network (GAN), via three leading face recognition systems. The paper is a collaboration between the Blavatnik School of Computer Science and the school of Electrical Engineering, both at Tel Aviv. Testing the system, the researchers found that a single generated face could unlock 20% of all identities in the University of Massachusetts' Labeled Faces in the Wild (LFW) open source database, a common repository used for development and testing of facial ID systems, and the benchmark database for the Israeli system. The Israeli system workflow, which uses the StyleGAN generator to iteratively seek out'master faces'. The new method improves on a similar recent paper from the University of Siena, which requires a privileged level of access to the machine learning framework.
IBM Software Labs is set to establish a state-of-the-art product engineering, design and development centre in Kochi to advance hybrid cloud and Artificial Intelligence (AI) technologies. The move comes in the wake of a virtual meeting Chief Minister Pinarayi Vijayan had with Sandip Patel, Managing Director, IBM India, and Gaurav Sharma, Vice President, IBM India Software Labs, in which the role of technology in accelerating the State's digital mission was discussed. Mr. Vijayan shared his vision of making Kerala a digital-knowledge economy, the changes introduced in the IT policy and the role of technology in helping various sectors reset and recover from the pandemic. The significance of collaboration between industries, the government and the academia to drive growth opportunities within the State was also discussed. Mr. Vijayan observed that Kerala was a talent hub for IT professionals and entrepreneurs, while expressing satisfaction about IBM's proposed expansion in the State.
Artificial intelligence is poised to revolutionize the real estate industry and make the homebuying process much more transparent, AI-driven startup Localize believes. Headquartered in New York City, Localize was founded in Israel in 2012 and also has offices in Tel Aviv. The startup, which operates in Israel under the name Madlan, launched in the United States in 2019 and began working with real estate agents and brokerages earlier this year. It has developed an AI- and big data-based platform that enables both buyers and brokers to streamline house-hunting, a traditionally low-tech process. "Our goal is to reinvent homebuying," Localize President and Chief Operating Officer Omer Granot told The Media Line.