Yesterday, China's Chang'e-5 robotic lunar lander successfully set down on the lunar surface marking, for the first time in four decades, that humans have travelled to the moon to collect soil samples. Today, the Chang'e-5 reported back to Earth, transmitting a full-color recording of its descent. The lander has already begun its sampling protocols by starting to bore into the surface and scooping up bits of lunar regolith. Come Thursday, once the samples are safely onboard the lander, the Chang'e-5 will attempt to escape the moon's weak gravity well and rendezvous with an orbiting spacecraft before handing off the materials for transport back to Earth. This marks the third time that China has set a lander down on the lunar surface.
The positive effects that AI has on everyday life are well documented However, as this technology becomes more wide-spread, ethical questions are being raised over the influence that this has in society. In extreme cases you can look at the controls and legislation on autonomous unmanned weapons. UAVs are more common in warfare and it seems only a matter of time before the ability to fire without human input will be added. A South Korean turret made for the North Korean border was initially designed to be completely AI-controlled until demand forced them to change direction. At the moment the
Russia: Cognitive Agro Pilot, an autonomous AI-based driving system for farming equipment which was designed by Sber and its ecosystem member Cognitive Pilot – has succeeded in industrial use across 35 regions of Russia when reaping the 2020 harvest. From June to October 2020, over 350 New Holland, John Deere and CLAAS autonomous combines equipped with Cognitive Agro Pilot system farmed over 160,000 hectares of field and harvested more than 720,000 tonnes of crops. With the help of Cognitive Agro Pilot as many as 590,000 metric tonnes of grain crops such as wheat, soybeans, barley, oats, sorghum, buckwheat, among others, were harvested over 130,000 hectares, and some 130,000 metric tonnes of row crops and roll crops (corn, sunflower, etc.) were harvested over 30,000 hectares in Kaliningrad, Kaluga, Kursk, Belgorod, Tambov, Penza, Rostov, Tomsk, Kurgan, Krasnodar, Krasnoyarsk and Stavropol regions. Thanks to the use of Cognitive Agro Pilot, this harvesting season stakeholders were able to save – on fuel and other related materials, shorter harvesting time (machine hours), equipment depreciation, extended active use of equipment before capital expenditures, fewer human errors, optimisation of business processes, and other parameters. According to the estimates of project members, in the next three years, every 10th harvester in Russia may become autonomous.
After successfully rolling out in Maharashtra, Mahindra & Mahindra's Farm Equipment Sector (FES), recently rolled out Krish-e centres in Tadepalligudem, Nandyala and Tenali in Andhra Pradesh along with Mahbubnagar, Miryalaguda and Kamareddy districts in Telangana as part of Mahindra's new'Farming as a Service' (FaaS) business. Parinaam Dikhaye' – Krish-e is a business vertical that provides technology driven services which are progressive, affordable and accessible to farmers. Krish-e aims to increase farmers' income through digitally enabled services, across the complete crop cycle. These include agronomy advisory, access to advanced farm equipment rentals and new-age precision farming solutions, all focused on bringing down overall farming costs and improving crop output and consequently the farmers' income. Besides Maharashtra, Adhra Pradesh and Telangana, Krish-e will also roll-out centres across other states in a phased manner.
Nov. 25 (UPI) -- South Korea pledged to invest about $1 billion for artificial intelligence in semiconductor manufacturing to build on the nation's success developing computer chips to power economic growth. President Moon Jae-in said Wednesday at a meeting of South Korea's top tech executives in Goyang, Gyeonggi Province, that his administration is prepared to improve regulations on artificial intelligence and provide a road map for innovation, EDaily and News 1 reported. "Countries around the world are competing to dominate in artificial intelligence," Moon said. "South Korea's dream is to become a leader [in the sector] in the post-pandemic era." Moon also said Korea has applied AI for public use, and that Seoul will work to open an "AI era" that would allow South Koreans to enjoy the benefits of innovation in their daily lives.
Humiliated by the killing of a top nuclear scientist, Iranian officials sought this week to rewrite the attack as an episode of science fiction: Israel had executed him entirely by remote control, spraying bullets from an automated machine gun propped up in a parked Nissan without a single assassin on the scene. Even hard-liners mocked the new spin. "Why don't you just say Tesla built the Nissan? It drove by itself, parked by itself, fired the shots and blew up by itself?" one hard-line social media account said. "Are you, like us, doubting this narrative?" Since the killing of the scientist on Friday, contradictory reports in the official news media about the escape or even existence of a hit team -- along with assertions of prior warnings from the Interior Ministry about the attack -- revealed tensions between competing Iranian intelligence agencies as each sought to dodge blame for an egregious security lapse.
In late January, scientists at DeepMind, Google's London-based AI unit, gathered to discuss whether there was anything they could do to help fight the brewing coronavirus pandemic. At the time, the spread of Covid-19 was still largely confined to the city of Wuhan, but as case numbers continued to grow exponentially, machine learning experts from London to San Francisco were gearing up to try and harness the power of AI to fight the Sars-CoV-2 virus. "Our first reaction was to think how we might be able to help," says Demis Hassabis, CEO and co-founder of DeepMind. "Front of mind was our system, AlphaFold, which we had shown could predict the 3D structure of proteins with unprecedented accuracy compared to other computational methods." At the start of March, DeepMind released predictions generated by AlphaFold for the structures of various proteins associated with SARS-CoV-2, to try and accelerate the process of understanding how the virus functions.
Standing just 5ft tall, Mitra navigates around the hospital wards, guided by facial recognition technology and with a chest-mounted tablet that allows patients and their loved ones to see each other. Developed in recent years by the Bengaluru startup Invento Robotics, Mitra costs around $13,600 (£10,000) and – due to the reduced risk of infection to doctors – has become hugely popular in Indian hospitals during the pandemic. Since making headlines at its debut in 2017 at an international summit, where it greeted Ivanka Trump and interacted with India's prime minister Narendra Modi, Mitra has increasingly been put to use in hospitals treating Covid-19 patients. "Mitra was originally meant for care homes, but was adapted during the pandemic to assist doctors and nurses by taking vital readings, and to help in consultations," says Balaji Viswanathan, chief executive of Invento Robotics, which now exports the robot to five countries including the US and Australia. India still only has about three robots for every 10,000 workers, but the domestic industry is growing rapidly, fuelled in no small part by the pandemic.
Artificial Intelligence is quickly becoming one of the quintessential industries today and reshaping the world as we know it. It has proven its worth in different areas of work with an undeniable impact on the market. Siri to Alexa and self-driving cars to manufacturing-robots are just a few examples of what AI companies have achieved. Tech giants like Amazon, Google, Microsoft and Apple are putting their resources in Artificial Intelligence and are running the race of becoming the biggest artificial intelligence companies in the world. Organisations like NASA are now using artificial intelligence to make themselves even more efficient, a report says. Technical edge is the key to most of the businesses today. As big players are putting everything they have got to get that technical edge, small players may find it overwhelming, if not unfair, to compete with them. Apart from these giants, there are several AI companies which have shown the potential of changing the world and solve the possible disparity some companies may experience due to their technical prowess.
Bengaluru, NFAPost: Capgemini announced today its third set of Intelligent Industry offerings: Data Driven Research & Development for Life Sciences. By aligning the expertise of its life science specialists, data scientists and data engineers, Capgemini's latest offer brings the power of Data and Artificial Intelligence (AI) at scale to the research and development (R&D) function. This new set of services will help biopharma companies to improve drug discovery and clinical trials. "Now more than ever there is intense pressure on research and development functions within life sciences to deliver better products more cheaply, quickly and with less risk," comments Franck Greverie, Chief Portfolio Officer at Capgemini and Group Executive Board member. "Artificial intelligence can analyze a broader body of knowledge, clinical data and literature about drugs and conditions at a speed unimaginable for human researchers. Capgemini's new set of Data-Driven R&D for Life Sciences offerings helps to harness the fast-growing set of tools and techniques of digital platforms, modern AI, data science and data engineering to apply them to datasets across a much wider frame of reference than ever before, helping pharmaceutical and biotech companies to reduce the time and cost of getting new therapies to market, and deliver greater personalized therapeutics and patient centricity."