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) …
In the webinar, McKnight said the best use for enterprise's data will be training AI algorithms. "AI algorithms are going to be important, and they are obviously trained on great data," he said. "So, a mantra of mine is: 'Let no data escape.' If you've been letting data escape, you are just hamstringing your future AI efforts." In an interview, Forrester analyst Boris Evelson said he agreed with McKnight's view, adding that AI is unquestionably one of the biggest BI and analytics trends in 2019 -- specifically, machine learning.
In the world of science and technology, it is being said that we are at the beginning of the Fourth Industrial Revolution. The first that lasted from 1760 to 1840 brought in the age of mechanized production. It was the result of new materials like iron and steel, which combined with new energy resources of coal and steam, led to'mass production', and a factory system with division of labor. The second industrial revolution from 1870 to the early part of 20th century was the result of electricity, and the internal combustion engine. Both powered industrial machines and made transport possible.
RPA tools come with a host of features that suit many automation scenarios. Typical characteristics of an opportunity that is suitable for RPA are "Repetitive", "UI Centric", "Rules Based", "Structured Data", "Low Process Variance" and "Stable applications in the medium term". If a process conforms to these rules, RPA tools out-of-the-box can quickly deliver automation. Understanding how many of the opportunities identified for automation are suitable for out-of-box RPA will determine the complexity of the RPA implementation. Though, the functionality of RPA tools can be extended through custom modules, identifying these custom modules upfront will enable the right estimation for the projects/ program.
Read on if you like robots and GPUs. Nvidia robotics lab opens: Nvidia's AI robotics lab has officially opened its doors after CEO Jensen Huang paid a visit to its Seattle office. The lab was announced back in November last year with an initial staff of 14 researchers, but is now hoping to expand to 32 by the middle of 2019. It will be led by Dieter Fox, who is currently on leave from his role as a professor of computer science at the University of Washington. Researchers will focus on merging AI software with hardware to create robots for manufacturing and healthcare purposes.
Hyderabad, Jan 20: With the growing demand and applicability of artificial intelligence, Indian Institute of Technology Hyderabad is set to launch a full-fledged BTech program in AI starting from the academic year 2019-2020. It has become the first Indian Educational Institution to offer such a full-fledged B.Tech. Admissions to the course will be accepted based on the JEE Advanced score. With this, IIT Hyderabad becomes the first Indian educational institution to offer a full-fledged BTech programme in AI and reportedly the third institute globally after Carnegie Mellon University and Massachusetts Institute of Technology in the US. The course will reportedly only take in only 20 students.
A decade in the making, Rio Tinto's driverless train system, called AutoHaul, now manages roughly 200 locomotives that move iron ore from inland mines to coastal ports in Western Australia. The trains are operated hundreds of miles away, in an office block in Perth. Rio Tinto's network, which began formally operating in driverless mode late last month, is the first fully autonomous, long-haul freight railroad. Rail-company executives from countries including the U.S. and Canada have visited to see the technology in action, said Ivan Vella, Rio Tinto's head of iron-ore rail services. American companies say automating tasks once handled by crew will create fluid networks more akin to a model train set.
As we already know, machine learning is a way of automating complex problem-solving. But can machine learning itself be automated? That's what we'll explore in this article. By its end, we'll have answered that question and shown practical ways it can be accomplished. When applying machine learning models, we'd usually do data pre-processing, feature engineering, feature extraction and, feature selection.
HDFC Bank, arguably India's best managed bank in terms of risk mitigation and sustained profitability metrics, heavily uses machine learning technologies to create accurate credit risk models. The bank also has to its credit innovations such as 10 second loans, for which it uses algorithms. To boost its machine learning and AI capability, the bank has launched a hackathon on HackerEarth. "Under the Centre of Digital Excellence (CODE), the Bank is organising the Hackathon challenge to hire data scientists. The top talent that emerges out of this challenge will be offered the chance to work in the Bank in the risk analytics team. We are looking at specialisation in coding and machine learning. This initiative is part of the Bank's endeavour to remain at the cutting edge of leading technologies like AI, ML etc. We hope to harness the potential talent that exists outside to enhance our capabilities in digital and technology," said Nitin Chugh, Country Head – Digital Banking, HDFC Bank.
Who among us hasn't stared up at a hawk or a vulture circling lazily in the sky and wondered how they stay aloft so long? Or wondered how sky-darkening flocks of migrating birds can travel thousands of miles so quickly and so effortlessly? Researchers are now able to tackle these questions more systematically using biomimicry, the process of imitating nature's systems to solve complex human problems. Their goal is to develop an artificial intelligence algorithm that will allow gliders -- either piloted or autonomous sailplanes -- to mimic the flight behavior and endurance of birds. Soon, AI in aviation will transform the types of missions that gliders perform.
The video analytics market sits as a fast-growing segment within the equally-fast-growing video surveillance market: with the former expected to reach $9 billion within the latter's $62 billion by 2023. Now Bosch, one of the industry's leading players, thinks it's rife for a shake-up. Gone are the days of aging CCTV cameras rusting on poles, piping feeds to control rooms where no-one is watching or to data warehouse systems'just in case' something happens. Nowadays, pixel-counts have been joined on camera spec sheets by intelligent analysis and automation; in the three-way space race that is Cloud, IoT and AI, video surveillance and analytics tick all the boxes. And with more of a focus now than ever before on computer vision techniques, driven by sectors as diverse as automated vehicles and the Internet of Battlefield Things, and by next-gen edge-AI chips and GPUs, innovation shows no signs of slowing.