Source – abovethelaw.com As the legal community flees Las Vegas, leaving another successful ILTACON and several hundred thousand dollars in bad decisions in their wake, two questions weigh upon my mind. Is there something broken about the way we talk about artificial intelligence, and why does the airport give a goddamn about my mixers? Artificial intelligence Read More
Source – thenextweb.com Despite the enormous speed at processing reams of data and providing valuable output, artificial intelligence applications have one key weakness: Their brains are located at thousands of miles away. Most AI algorithms need huge amounts of data and computing power to accomplish tasks. For this reason, they rely on cloud servers to perform their Read More
Source – news.mit.edu Doctors are often deluged by signals from charts, test results, and other metrics to keep track of. It can be difficult to integrate and monitor all of these data for multiple patients while making real-time treatment decisions, especially when data is documented inconsistently across hospitals. In a new pair of papers, researchers from Read More
Source – healthdatamanagement.com More healthcare organizations are looking to use mobile technology to better engage patients, but providers must broaden their strategies to get more value from their efforts. Data science needs to be incorporated into these efforts, enabling organizations to achieve strategic benefits from their efforts. From our organization’s experience, we found that data science Read More
Source – networkworld.com Apple, Amazon and Microsoft may have made themselves globally recognized, billion-dollar brands by producing the most innovative products and services, but these days they’re finding a new way to dominate the market: exploiting big data. The profitable strategies used by these tech giants are now being studied across the industry, as more and Read More
Source – economictimes.indiatimes.com BERLIN: Scientists have developed a new artificial intelligence system that can decode brain signals, an advance that may help severely paralysed patients communicate with their thoughts. Artificial intelligence has far outpaced human intelligence in certain tasks. Researchers from University Hospital Freiburg in Germany led by neuroscientist Tonio Ball showed how a self-learning Read More
Source – livemint.com The concept of robotics has been in existence for a long time, with Egyptians using automated water clocks to strike the hour bell and hydraulically operated statues that could gesture and speak in 400 BC. Subsequently, there have been many such instances of robotics in the history of mankind. The first modern-day Read More
Source – electronicdesign.com Last year, Qualcomm stopped short of including an accelerator core called the neural processing unit its Snapdragon silicon. Instead, it announced that it would publish software to bend its existing smartphone chips to the whims of machine learning. The strategy shift shows Qualcomm’s sense of urgency around machine learning, which has typically required Read More
Source – theverge.com Prisma, the Russian company best known for its AI-powered photo filters, is shifting to B2B. The company won’t retire its popular app, but says in the future, it will focus on selling machine vision tools to other tech firms. “We see big opportunities in deep learning and communication,” Prisma CEO and co-founder Alexey Moiseenkov Read More
Source – businesstech.co.za The feeling in the smartphone space is that innovation has plateaued, making it difficult for manufacturers to stay ahead. Huawei, however, says that artificial intelligence (AI) will play a critical role in driving further innovation in this space. The mobile handset maker said that consumers want intuitive features combined with smart software innovation. Read More
Source – ndtv.com New Delhi: Demand for artificial intelligence and machine learning specialists in the country is expected to see a 60 per cent rise by 2018 due to increasing adoption of automation, says KellyOCG India. According to Francis Padamadan, country director, KellyOCG India, a talent management solutions provider, although AI and machine adoption is on Read More
Source – qualitymag.com Through the Looking Glass When we were in the city of Danyang, China, we witnessed a real-life paradox. Danyang is best known for its explosive growth in optical lens manufacturing over the last decade, sprouting hundreds of factories with cleanrooms chock-full of gleaming, automated machinery. There is a lot that goes into manufacturing Read More
Source – irishtimes.com In modern advertising, eye-tracking software and equipment can be very useful to determine how many passing pedestrians are looking at your poster or sign. The problem with most of this expensive eye-tracking equipment is that is needs to be calibrated and does not always work in real-world situations, only capturing eye contact if Read More
Source – insidebigdata.com As Big Data moves from hype to reality, more companies are adopting a “data first” approach. Data is used to formulate strategies, design products, embed intelligence in applications, and ultimately provide an awesome customer experience. With increased data awareness, executives are also demanding more from their data teams – just mining data to Read More
Source – neowin.net You may remember that back in February, the folks at Microsoft Research shared a series of tools meant to help create safer and more aware Unmanned Aerial Vehicles (UAVs). However, the search for improvement never stops, and the Research division has now shared something else they’re working on, inspired by the way nature operates. Read More
Source – csoonline.com Amazon offers a number of excellent tools to help enterprises keep their data (Read more click here) and applications safe in the cloud. Last year, Amazon unveiled Amazon Inspector, its host-based application vulnerability assessment tool to monitor what is installed and configured on each virtual Instance. This year, it’s Amazon Macie, a security service Read More
Source – host.madison.com Though the concept of artificial intelligence (AI) has been around since the 1950s, it was the advent of big data and improvements in computing power that enabled practical applications of the science. With all the press concerning AI and the myriad advancements, the concept remains elusive to many. Much of the progress made Read More
Source – thehindubusinessline.com Artificial Intelligence (AI) is the new engine that is going to launch the fourth industrial revolution after loom, steam engine and assembly line, according to Malcolm Frank, Executive Vice-President, Strategy & Marketing, Cognizant Technology Solutions. In the process, countries that get it right will have strong GDP growth, he said at a session Read More
Source – dataconomy.com Google regularly gets voted as the best company to work for in USA – its employees get generous paid holidays, free food and are even encouraged to take power naps during the work day in those ‘nap pods’. Google has been providing an excellent workplace atmosphere to its staff – not because they Read More
Source – techacute.com Today we’ll talk about cases and solutions when Machine Learning (ML) as a Service doesn’t work. When this happens, your company shouldn’t start off with hiring a data scientist. The best option is to invest in a custom-made solution to solve your urgent business needs. Only then when you have a workable solution, Read More
Source – alphr.com Artificial intelligence is everywhere – although often the reality feels somewhat underwhelming compared to the potential for what it might become. AI has the power to change the world, but it’s a gradual process. Machine learning is often used as a synonym for artificial intelligence, but it’s actually a different, albeit related discipline. While Read More
Source – enterpriseinnovation.net Artificial intelligence (AI) everywhere, transparently immersive experiences and digital platforms are the trends that will provide unrivaled intelligence, create profoundly new experiences and offer platforms that allow organizations to connect with new business ecosystems, according Gartner’s Hype Cycle for Emerging Technologies 2017. “In addition to the potential impact on businesses, these trends provide a significant Read More
Source – telegraph.co.uk The world is on the brink of the fourth industrial revolution, and it could change the way we use everything from cars to shoes. The first three industrial revolutions brought us mechanisation, mass production and automation. Now, more than half a century after the first robots worked on production lines, artificial intelligence (AI) Read More
Source – informationweek.com Consumers have spoken, artificial intelligence is a profitable industry. From Amazon to Google to Apple, major tech companies have made inroads, crafting intelligent software — housed in sleek, accessible hardware — that has drawn massive customer attention. This trend is set to soon move out of home devices, like Echo and Google Home, Read More
Source – phys.org Physicists have applied the ability of machine learning algorithms to learn from experience to one of the biggest challenges currently facing quantum computing: quantum error correction, which is used to design noise-tolerant quantum computing protocols. In a new study, they have demonstrated that a type of neural network called a Boltzmann machine can Read More
Source – infoworld.com Data scientists are in high demand, and this skills shortage looks to continue for the next few years. According to a study by IBM, by 2020 the number of annual job openings for all data savvy professionals in the United States will increase from 364,000 openings to 2,720,000. Furthermore, according to the study, the Read More
Source – electronics360.globalspec.com “The development of full artificial intelligence could spell the end of the human race. Once humans developartificial intelligence, it will take off on its own and redesign itself at an ever-increasing rate. Humans, who are limited by slow biological evolution, couldn’t compete and would be superseded.” This sounds like it could be an excerpt Read More
Source – blog.risingstack.com A Microservices architecture makes it possible to isolate failuresthrough well-defined service boundaries. But like in every distributed system, there is a higher chance for network, hardware or application level issues. As a consequence of service dependencies, any component can be temporarily unavailable for their consumers. To minimize the impact of partial outages we need to build Read More
Source – insidehpc.com While artificial intelligence (AI), machine learning and deep learning are often thought of as being interchangeable, they do in fact relate to very different concepts. It all began in the 1950s with AI and the idea that a computer could be made to simulate human learning and intelligence. A subclass of that is Read More
Source – zdnet.com Just as cloud computing used to be, so now artificial intelligence is the term that pretty much every tech start-up is required to mention if it’s going to be considered a contender for the Next Big Thing. If you don’t include machine learning and neural networks in your pitch, prepare to be ignored. Read More