Source – forbesindia.com Many of the worst problems of developing countries in health, education and financial inclusion are caused by unavailability of skilled professionals: doctors, teachers and bank officers, particularly in rural areas. There are obvious reasons for this shortage: it’s costly to train experts and they naturally prefer the highest-paying jobs in cities. Furthermore, the Read More
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Source – adnews.com.au To quote Eoin Treacy in ‘How to Profit from the Peaceful Rise of the Robots’: “Don’t think of robots as replacements for humans – think of them as things that will help make us better at tackling many of the problems we face.” Never has this been more appropriate than now in the Read More
Source – phys.org There is growing consensus that with big data comes great opportunity, but also great risk. But these risks are not getting enough political and public attention. One way to better appreciate the risks that come with our big data future is to consider how people are already being negatively affected by uses of it. At Cardiff Read More
Source – techrepublic.com Ask what Amazon’s greatest accomplishment has been to date, and you’ll probably hear about how they’ve revolutionized online shopping, or become a credible player in media and entertainment. If you speak with a technologist, they might mention Amazon’s emergence as one of the preeminent technology platforms. While there’s nothing new or exciting about Read More
Source – yourstory.com Data Science may have become hot in this decade, but its existence can be traced back to more than a couple of decades ago. A lot of academic research took place in data science (data mining) then, but there was no application in the market; it was all theoretical and mathematical. Real change came Read More
Source – ibc.org AI is a technology on the cusp. While nothing actually new in itself, a recent convergence of increased computational power with a mushrooming of large datasets and the refinement of existing understanding of the techniques involved has seen it become an important differentiator in the industry. Following a breakthrough year in 2015 when Read More
Source – mediaupdate.co.za Machine learning allows the algorithms that software and systems use to evolve as they process new data. Contrary to what many people think, humans play an integral role in this process and in applying machine learning-driven solutions to real-world problems. Machine learning allows systems and AI engines to automatically learn and improve from experience. Read More
Source – securityboulevard.com The terms “artificial intelligence” and “machine learning” are often used interchangeably, but there’s a huge technical difference between them. While the first is used by Hollywood when depicting self-aware machines, the latter is comprised of finely tuned single-task algorithms that are nowhere near self-aware. In cyber security, machine learning algorithms can learn by Read More
Source – td.org Driving sales takes a lot of hard work. It’s a very time-consuming process, where you have to research potential clients, pitch to prospects, and keep following up with them before you close a deal. Anything that can automate this process will certainly help salespeople close more deals and grow their business faster. The Read More
Source – hotelowner.co.uk Artificial intelligence or AI. It’s a term we’re hearing increasingly often; from online customer support chat bots to virtual assistants, it seems AI is quickly becoming part of our everyday life. The growth of AI driven solutions and, in particular, the application of machine learning can now be seen in almost every industry. Read More
Source – fortune.com When artificial intelligence works smoothly, computers are able to spot cats in photographs at lightning-fast speeds. When it goes wrong, they can confuse images of turtles with rifles. Researchers from MIT’s computer science and artificial intelligence laboratory have discovered how to trick Google’s (GOOG, +0.66%) software that automatically recognizes objects in images. They created an Read More
Source – forbes.com Yoshua Bengio is one of the foremost thinkers in a field within artificial intelligence known as artifical neural networks and deep learning. Although significant progress has been made in recent years due to (among other factors) the combination of the proliferation of data, the decreasing cost of compute, and the tremendous amount of Read More
Source – information-age.com Artificial intelligence (AI) has matured significantly in the last decade. Dubbed by Professor Stephen Hawking as “either the best, or the worst thing, ever to happen to humanity” there’s no denying that AI will have a significant impact on our society. While it is unlikely to be as immediate or spectacular as our Read More
Source – scientificamerican.com As a boy, I wanted to maximize my impact on the world, so I decided I would build a self-improving AI that could learn to become much smarter than I am. That would allow me to retire and let AIs solve all of the problems that I could not solve myself—and also colonize Read More
Source – itpro.co.uk Technology revolutions come and go, and artificial intelligence is the next big innovation making its impact on the world. Generally, this term refers to machines and software capable of imitating human behavior. Often, AI programs can perform cognitive functions you’d expect a human mind to possess. Examples include learning, problem-solving, perception, planning and Read More
Source – yourstory.com There is a lack of research as to quantify how bias in AI systems are damaging individuals and societies. You have just mailed your CV to get your dream job. You are anxiously waiting for a response from the company. This could be an opportunity of your lifetime. But wait, there is a Read More
Source – motherboard.vice.com The incident marks the latest in a series in which artificial intelligence algorithms have been found to be biased. The problem is the way they’re trained: In order to “teach” an artificial intelligence to identify patterns, it needs to be “fed” a massive trove of documents or images, referred to as “training data.” Training data can include Read More
Source – news.mit.edu Just in time for Halloween, a research team from the MIT Media Lab’s Scalable Cooperation group has introduced Shelley: the world’s first artificial intelligence-human horror story collaboration. Shelley, named for English writer Mary Shelley — best known as the author of “Frankenstein: or, the Modern Prometheus” — is a deep-learning powered artificial intelligence (AI) system Read More
Source – insidebigdata.com The wonders of automation have brought incredible efficiencies to standard IT monitoring practices, especially when it comes to the detection-prevention-analysis-response (DPAR) cycle. Automating detection and remediation steps via alerts has alleviated massive amounts of stress for IT teams and businesses alike, providing the data needed to understand how and why issues happen. But Read More
Source – forbes.com In the past few years, new categories of products have emerged thanks to the extraordinary advances in machine learning (ML) and deep learning (DL). These new techniques power product recommendations, computer-aided diagnosis in medical imaging and self-driving cars, just to name a few. Most ML and DL algorithms require compute profiles (hardware, software, Read More
Source – forbes.com We deal with a lot of data every day, but the way we deal with it is changing rapidly. Increasingly, machine learning (ML) and artificial intelligence (AI) are cropping up as solutions for handling data. The two are often used interchangeably, and although there are some parallels, they’re not the same thing. The Read More
Source – hbr.org Artificial intelligence is no longer just a niche subfield of computer science. Tech giants have been using AI for years: Machine learning algorithms power Amazon product recommendations, Google Maps, and the content that Facebook, Instagram, and Twitter display in social media feeds. But William Gibson’s adage applies well to AI adoption: The future Read More
Source – forbes.com The risks and rewards of machine learning and artificial intelligence (AI) are topics of discussions in nearly every industry circle. Whether it’s the promise of cars that not only drive themselves but collectively learn how to drive more safely or the looming threat of apocalyptic war driven by the race for AI supremacy, AI Read More
Source – wsj.com About two decades ago, genetically modified organisms came into popular use. And the technique quickly drew fire from critics for introducing DNA from one organism into another. Now there are new technologies on the rise that promise to reshape the world of agriculture. Data science is making it possible to get a much Read More
Source – financialexpress.com Corporations have been relying on Learning Management Systems (LMS) to faciliate learning and address the challenges of distance, time and cost factors. LMS implemented in most organisations have been facilitating in hosting content, providing content access to the learners, conducting assessments and keeping track of their progress. The expectation of training managers in Read More
Source – thefinancialbrand.com Computer scientist and celebrated futurist Ray Kurzweil says artificial intelligence will match human intelligence by 2029, and that by 2045, it will have multiplied the human biological machine intelligence of our civilization a billion times. Predictions like this abound amid the hype surrounding AI. Real understanding however, is less common. Many enterprises are Read More
Source – zdnet.com At its GitHub Universe conference this week, GitHub is announcing a series of automated coding features, demonstrating how machine learning and data science can be applied to software development. The new tools will leverage the intelligence aggregated on the online code sharing and development platform over its nearly 10 years in existence, helping developers track Read More
Source – forbes.com Over the past decade, technology has redefined how service businesses approach jobs. From heavy equipment services to residential services, anywhere a clipboard was the traditional method of documentation, mobile technology has been claiming a stake. Mobile automation solutions have become the norm, giving service organizations the ability to communicate service records digitally. Sharing Read More
Source – miningglobal.com Minerals are essential to the manufacture of many items you’re likely to buy or use, from smartphones to cans of drink, but also to roads, modes of transport and homes. However, traditional methods of mining for minerals are being overtaken by disruptive technology. Big data analysis is an invaluable tool with many companies Read More
Source – jaxenter.com Computer science has a pretty high barrier to entry. Learning to code is the first and biggest obstacle; many people run straight into that hurdle. So, when Google’s A.I. Experiment announced earlier this week that they had created a new experiment to help people understand machine learning without a single line of code, I was Read More