Source – brookings.edu Advances in artificial intelligence and data analytics are propelling innovation in many parts of the world.  China, for example, has committed $150 billion towards its goal of becoming a world leader by 2030.  And while the United States government is investing only $1.1 billion in non-classified AI research, its private sector is spending billions in fields from finance Read More

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Source – scmagazine.com The continual increase in security threats combined with an overwhelming amount of data and false positives is creating major headaches for IT security teams. Additionally, the cybersecurity industry faces a colossal shortage of talent, making it nearly impossible to stay on top of the latest threats. Enter artificial intelligence (AI). According to data Read More

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Source – healthcareitnews.com For years, many healthcare organizations tended to be skeptical and resistant (if not outright hostile) to the idea of storing their data, particularly protected health information, in the cloud. IT and security decision-makers had deep reservations about stashing such sensitive data anywhere but their own on-premises servers, safe under their own watchful eyes. Read More

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Source – livescience.com A prominent researcher of machine learning and artificial intelligence is arguing that his field has strayed out of the bounds of science and engineering and into “alchemy.” And he’s offering a route back. Ali Rahimi, who works on AI for Google, said he thinks his field has made amazing progress, but suggested there’s something rotten in the Read More

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Source – entrepreneur.com Algorithmic trading using financial models has a rich multi-decade history, and artificial intelligence (AI) is the new emerging trend in the asset management landscape. Traditional trading algorithms were built to exploit specific opportunities, whereas the new generation of algorithms use the power of AI to truly act as independent agents participating in market action, and Read More

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Source – forbesindia.com For starters, let’s take stock of the current scenario. Automated trading algorithms powered by Artificial Intelligence (AI) have powered their way into the financial world faster than the market pundits could have ever predicted. AI-driven investment platforms like Wealthfront and Betterment have drawn investors in droves assuring them of safe, reliable returns. Naturally, Read More

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Source – entrepreneur.com The term “machine learning” might not mean much to you. You might imagine a computer playing chess, calculating the multitude of moves and the possible countermoves. But, when you hear the term “artificial intelligence” or “AI,” however, it’s more likely you have visions of Skynet and the rise of our inevitable robot overlords. Read More

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Source – gsmarena.com Among other things, for a smartphone to be bang on trend these days it needs, a tall 18:9 display with minimum bezels (with a notch thrown in for good measure), a superb camera system and Artificial Intelligence and/or Machine Learning. Artificial Intelligence and Machine Learning are buzzwords being adopted and applied throughout our Read More

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Source – itweb.co.za Aimee van Wynsberghe, assistant professor of ethics and technology at Delft University of Technology in the Netherlands and co-founder and president of the Foundation for Responsible Robotics, will be presenting a keynote address at ITWeb Artificial Intelligence 2018. In addition, Van Wynsberghe is a member of the 4TU Centre for Ethics and Technology, where she Read More

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Source – cmswire.com Google’s AlphaGo made history in May 2017 when it defeated Ke Jie, the world’s reigning champion of the ancient Chinese game Go. It was the first computer program to defeat a professional human Go player, much less a world champion. Later that year, Google introduced AlphaGo Zero, an even more powerful iteration of AlphaGo. Anyone wanting Read More

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Source – forbes.com When businesses identify a problem that can be solved through machine learning, they brief the data scientists and analysts to create a predictive analytics solution. In many cases, the turnaround time for delivering a solution is pretty long. Even for experienced data scientists, evolving machine learning models that can accurately predict the results Read More

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Source – economictimes.indiatimes.com The phenomenal growth of cloud-based offerings such as Platform as a service (PaaS), Infrastructure as a service (IaaS) and Software as a service (SaaS) has resulted into bigger competition in the market, with the new addition being Machine Learning as a Service (MLaaS). Machine Learning has emerged as one of the fastest evolving Read More

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Source – forbes.com Modern advances in computing and algorithms have made artificial intelligence (AI) a practical reality. We are living in the realm of science fiction. From self-driving cars to online shopping carts to manufacturing robots, AI-based solutions are playing important roles. Even so, we need to discern fact from fiction. AI is still far from Read More

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Source – forbes.com Google services such as its image search and translation tools use sophisticated machine learning which allow computers to see, listen and speak in much the same way as human do. Machine learning is the term for the current cutting-edge applications in artificial intelligence. Basically, the idea is that by teaching machines to “learn” Read More

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Source – cio.com It’s hard to remember a time when cyber-based security threats were so few and far between that they could be easily identified and countered by well-trained IT security experts. Today, the volume and diversity of potential threats long ago outstripped the ability of human professionals to evaluate them unaided. Today, security pros rely Read More

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Source – interestingengineering.com A prominent feature in science fiction over the years has been artificial intelligence. Since the earliest days of computing, scientists and other thinkers have been fascinated by the notion of creating a machine capable of replicating the human brain. It used to be thought that the analogy of the human brain is like a Read More

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Source – thenextweb.com There’s a misconception that to leverage machine learning you need to be a mathematical genius. In reality, most machine-learning applications use well-understood, well-tested, off-the-shelf algorithms. For many developers, especially those at startups, the real challenge lies in training the data. Overcoming this challenge takes clever product development with an eye on user experience. Read More

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Artificial Intelligence