If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Jio, the world's largest mobile data network service provider, and Guavus, a Thales company and the leader in AI-powered analytics for communications service providers, announced a partnership today centered on AI-driven analytics. Guavus' AI-based solutions will provide real-time customer experience analytics, predictive analytics to automate network troubleshooting, and key marketing insights to Jio. As a result, Jio will be able to offer superior service to its customers while addressing critical service operations with intelligent automation. Jio is one of the world's largest and fastest growing data service operators with more than 300 million subscribers. The Indian service provider, which has disrupted the market with its affordable data plans and unlimited calling benefits, has created a completely digital experience for its users ranging from data services on smartphones, to gigabit Internet at home, along with a portfolio of media offerings and IoT devices such as smart speakers and switches for the smart home.
The robotic process automation (RPA) services market is booming around the world, according to a recently published Forrester Research report, titled'The RPA Services Market will Grow to Reach $12 billion by 2023'. In 2018, the market was estimated to be worth only $3.9 billion. Furthermore, Forrester's research indicates that over the past three years, annual revenue growth for the top services vendors has topped 100%, rising from around $0.6 billion in 2017 to an estimated $4.2 billion by 2023. After surveying 25 of the top RPA service providers about their customers, geographic focus, revenue and scale of implementations for the report, which was published last month, the authors – Leslie Joseph and Craig Le Clair – concluded that the massive growth in RPA services was a result not only of organisations adopting RPA as a cost mitigation strategy, but because automation was regarded as critical to the implementation of broader digital transformation efforts. However, while RPA adoption in terms of spend appears to be rising around the world, Forrester was unable to provide information about RPA adoption in Africa, or South Africa, as it was unable to source sufficient data.
Although early and requiring further research before implementation, the findings could aid doctors investigating unexplained strokes or heart failure, enabling appropriate treatment. Researchers have trained an artificial intelligence model to detect the signature of atrial fibrillation in 10-second electrocardiograms (ECG) taken from patients in normal rhythm. The study, involving almost 181,000 patients and published in The Lancet, is the first to use deep learning to identify patients with potentially undetected atrial fibrillation and had an overall accuracy of 83%. Atrial fibrillation is estimated to affect 2.7–6.1 million people in the United States and is associated with increased risk of stroke, heart failure and mortality. It is difficult to detect on a single ECG because patients' hearts can go in and out of this abnormal rhythm, so atrial fibrillation often goes undiagnosed.
What I saw didn't look very much like the future -- or at least the automated one you might imagine. The offices could have been call centers or payment processing centers. One was a timeworn former apartment building in the middle of a low-income residential neighborhood in western Kolkata that teemed with pedestrians, auto rickshaws and street vendors. In facilities like the one I visited in Bhubaneswar and in other cities in India, China, Nepal, the Philippines, East Africa and the United States, tens of thousands of office workers are punching a clock while they teach the machines. Tens of thousands more workers, independent contractors usually working in their homes, also annotate data through crowdsourcing services like Amazon Mechanical Turk, which lets anyone distribute digital tasks to independent workers in the United States and other countries.
Indian cab aggregator Ola has announced the acquisition of Bengaluru-based artificial intelligence (AI) startup Pikup.ai on Tuesday. As part of the deal, which value was not disclosed, the team at Pikup.ai including founders Inder Singh and Ritwik Saikia will join Ola. "We are looking forward to joining Ola in its mission to build mobility for a billion people and are very excited about building meaningful technology solutions that have a deep impact on the lives of millions, every single day," said Inder Singh, co-founder of Pikup.ai. The acquisition will fuel Ola's plans to develop next-generation mobility technologies such as autonomous driving, electric and connected mobility. The company said it would do that also by setting up an Advanced Technology Centre in San Francisco.
"In 1998, Tata Motors' tryst with destiny in the passenger car business began with the launch of Indica. Despite all the attention, Indica failed to sizzle, with sales falling 20% the next year as customers complained that the car was rolled out despite glitches. Tata Motors carried out a survey to identify the problems, and discovered that the components being procured from Tier 1 and Tier 2 suppliers were of sub-standard quality. Amit Bhingurde, chief operations officer, TAL Manufacturing Solutions, a Tata Motors subsidiary, explains the reason: 'The manufacturers were not able to produce high quality components as they couldn't afford automation'." The need of automation is the result of today's phenomenon - Artificial Intelligence.
Machine Learning is so pervasive today that you probably use it dozens of times a day without knowing it. In this class, you will learn about the most effective Machine Learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.
Every day we come across a new tech buzzword - for some, it is AI (Artificial Intelligence), for others, it is IoT (Internet of Things) but how many actually understand the context of these concepts. Answer this – how are you able to read this article? That's exactly what IoT is about, connecting all devices to the internet. If loosely defined, IoT empowers all devices in the world to send and receive information, basically make them smart. Through an app, your phone is retrieving information, in this case, songs, from a source which is also connected to the internet and helping you enjoy any and every type of music in the world without having to store anything in your mobile device.
India ranks amongst the top three countries in the world in Artificial Intelligence (AI) skills, among top three in AI research, top nine when it comes to AI specialists, and top 20 on the AI Readiness Index. The demand for advanced AI-related technologies has the potential to unlock a trillion-dollar opportunity for India. Intel recognises that the complexity of bringing AI from model to real-world deployment takes a mix of established and novel hardware and software solutions and is committed to collaborating with the AI community to accelerate discoveries and make meaningful progress in how it uses AI to add value to our work and lives. Intel AI DevCamp (Intel AIDC) is one such effort to put AI tools into the hands of scientists, developers, analysts, and engineers. The event also serves as a showcase of innovation being driven in collaboration with industry leaders.
Policymakers must have a sound understanding of the objectives that AI seeks to achieve in the strategic context of India to disseminate artificial intelligence in defence. What kind of AI do we want? The possibility of AI-ushered advancements has opened the scope of an arms race. Artificial Intelligence (AI), also dubbed as the Industrial Revolution 4.0, has been making giant strides in scientific and technological innovation across varying fields. It is capable of bringing significant transformations in the way civilian activities and military operations are conducted.