TCS in collaboration with Qualcomm has announced today the launch of Innovation Hub in Hyderabad, India. With 5G technology, users can experience low latency while dealing with cloud computing, highly responsive multiplayer gaming, immersive 360-degree video, and instant apps, etc. The 5G speed will make such tracking almost instantaneous. Such a tremendous amount of data can be gathered and directed at machine learning and AI (Artificial Intelligence) algorithms delivering crucial insights to make intelligent decisions. Executive Opinion Global Head, Technology Business Unit, TCS, V Rajanna, said, "The convergence of 5G, AI and edge computing will open unprecedented opportunities for value creation in industrial automation, autonomous vehicles and other industries. The new Innovation Hub brings together TCS' and Qualcomm Technologies' world-class technology expertise to unlock the potential of transformational solutions in this emerging space to help global enterprises explore the art of the possible and accelerate their Business 4.0 journeys."

"The Global Artificial intelligence in Business Market, which was valued at USD 20.67 Billion in 2019, will reach USD 202.57 The report titled, "Artificial intelligence in Business Market" boons an in-depth synopsis of the competitive landscape of the market globally, thus helping establishments understand the primary threats and prospects that vendors in the market are dealt with. It also incorporates thorough business profiles of some of the prime vendors in the market. The report includes vast data relating to the recent discovery and technological expansions perceived in the market, wide-ranging with an examination of the impact of these intrusions on the market's future development. The scope of the Artificial intelligence in Business Market report is as follows the report provides information on growth segments and opportunities for investment and Benchmark performance against key competitors.

Earlier this year new health tech start-up EQL unveiled its debut product at the Google Campus in London to an audience of industry leaders in the healthcare and insurance markets. But how did they turn a dream into reality? Improving healthcare through the use of smart technology had long been a passion for EQL founders Jason Ward and Pete Grinbergs. Jason had seen his mum, a nurse and his step-dad, a GP, struggle with the inefficiency in the NHS and work hard to ensure that their patients received the best care. He started life working in finance in the City and in 2015 set up a digital primary care start-up in 2015 which sadly didn't make the grade.

A decade ago, the British department-store chain John Lewis built itself a long warehouse, painted in gradations of sky blue. The shed, as it is called in the industry, cost £100m and covered 650,000 sq ft. Windsor Castle could easily fit inside it. John Lewis named the shed Magna Park 1, after the site where it stands: a "logistics campus" of warehouses, roads, shipping containers and truck bays east of Milton Keynes. Magna Park 1 was intended to supply the company's stores around southern England, but almost as soon as it was finished, John Lewis realised that it wasn't enough. The pace of e-commerce was flying, and Magna Park 1 opened in the midst of a spell in which, between 2006 and 2016, the share of John Lewis deliveries going direct to customers rose 12-fold. So John Lewis built Magna Park 2, measuring 675,000 sq ft. After that, the company realised it needed a new shed for Waitrose, its supermarket chain, where home deliveries were skyrocketing, too. "It became a bit of a standing joke," said Philip Stanway, a regional director at Chetwoods, the architecture firm that designed and built all these facilities. "They used to come to meetings with their forecasts, and they'd say: 'Screw this. This is the new forecast,'" Stanway said, making a scribbling motion in the manner of a John Lewis executive hastily updating the numbers. "We couldn't build the buildings quick enough for them."

How can we teach artificial intelligence to make unbiased decisions? How can we protect citizens' privacy when processing extensive amounts of data? Questions such as these need answers before the application of artificial intelligence and machine learning can be extended further. In spring 2018, inboxes filled to the point of frustration with messages from businesses and organisations announcing their measures related to the entry into force of the EU's General Data Protection Regulation, or GDPR by its common name. The purpose of the regulation was to improve the privacy of citizens whose personal details are stored in various databases, a matter that is closely related to the research conducted by Associate Professor Antti Honkela at the University of Helsinki.

Internet censorship by authoritarian governments prohibits free and open access to information for millions of people around the world. Attempts to evade such censorship have turned into a continually escalating race to keep up with ever-changing, increasingly sophisticated internet censorship. Censoring regimes have had the advantage in that race, because researchers must manually search for ways to circumvent censorship, a process that takes considerable time. New work led by University of Maryland computer scientists could shift the balance of the censorship race. The researchers developed a tool called Geneva (short for Genetic Evasion), which automatically learns how to circumvent censorship.

TEMPO.CO, Jakarta - The Indonesian Government is eyeing to complete its national strategy to develop artificial intelligence (AI) in 2020 after the Research and Technology Minister Bambang Brodjonegoro admitted that it was not yet included in the national roadmap but was only part of the country's preparation toward the industrial revolution 4.0.

Startup Lunarship Software announces version 2019.11 of its photo organizer Phototheca, which is now equipped with deep neural networks to search for people and cats in photographs automatically. Phototheca app users who already benefitted from the product's photo organization features, will now be able to organize and manage photos faster and more accurately. The main feature in the new version of the Phototheca photo organizer is the implementation of Deep Learning algorithms for face detection and recognition of humans and cats. Having emerged in the late 2000s, Deep Learning is a revolutionary artificial intelligence technology that allows training artificial neural networks on large volumes of data. Many of the most innovative and advanced product features currently available, such as facial recognition on Facebook and Google, as well as Apple's Siri's voice recognition, are all based on Deep Learning.

The high frequency of road accidents makes driver safety one of the biggest challenges facing Fleet Management each day. In the US alone, 6 million car accidents every year happen every year, with more than 40,000 motor vehicle accident-related deaths in 2017. Several factors come into play when looking at the cause of traffic accidents. It could be the weather, changing road conditions, or the fault of other road users such as another driver or pedestrian. Apart from the risks posed by accidents to drivers, companies face significant losses when such accidents and traffic violations occur.

An interdisciplinary team of chemists, physicists, and computer scientists from the University of Luxembourg, the University of Warwick and the Technical University of Berlin have developed a deep machine learning algorithm that can predict the quantum states of molecules, so-called wave functions, which determine all properties of molecules. Artificial intelligence and machine learning algorithms are routinely used to predict our purchasing behaviour and to recognise our faces or handwriting. In scientific research, artificial intelligence is establishing itself as a crucial tool for scientific discovery. In chemistry, AI has become instrumental in predicting the outcomes of experiments orsimulations of quantum systems. Artificial intelligence achieves this by learning to solve fundamental equations of quantum mechanics.