Source – marketwired.com In his panel session, Jeff McMillan, Chief Analytics & Data Officer at Morgan Stanley said, when talking about AI, “Imagine a world in which we were able to tech the intellectual capital of the firm and take hundreds and hundreds and hundreds of people’s knowledge and out it into an infrastructure that can Read More
Source – informationweek.com Staggering predictions were shared at the 2017 Gartner Symposium earlier this month. By 2021 Gartner predicts, artificial intelligence augmentation will generate $2.9 trillion in business value and recover 6.2 billion hours of worker productivity. It is no wonder why companies are moving swiftly to embrace these emerging technologies to assist people and attain a Read More
Source – zdnet.com Pervasive data science is becoming a core enabler of business innovation and competition. Given this importance, it’s worth examining the context of data science to consider its trajectory and future value. In my view, primary challenges around data science for business leaders comes from threesources: Business people do not always understand the power and implications Read More
Source – bbc.com Computer scientists have developed artificial intelligence that can outsmart the Captcha website security check system. Captcha challenges people to prove they are human by recognising combinations of letters and numbers that machines would struggle to complete correctly. Researchers developed an algorithm that imitates how the human brain responds to these visual clues. The 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 – venturebeat.com You’ve probably read that artificial intelligence is transforming medicine. While the field has yet to reach its full potential, researchers are exploring ways that machine learning, a subset of AI, can dramatically improve patient outcomes. Machine learning is ultimately about understanding large amounts of data, making it an important tool for handling the flood Read More
Source – iotbusinessnews.com Big data refers to the massive volumes of data collecting on everything from internet searches to app usage to IoT devices such as connected wearables. The development of tools able to find the useful pieces of information in this firehose of data and collate it into patterns is likely to impact numerous sectors. One 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 Imagine the following scenario. It’s Monday morning. You wake up to an alarm. It’s been set automatically and synchronized to your work schedule for the day. As you partake in your hygiene regimen, your key nutritional KPIs (such as hydration, body mass, and hemoglobin levels) are calibrated for you. You strap yourself into 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 – engineering.com The ocean is indeed a strange place, but Whitman might not have found it quite so confounding if he’d had access to deep learning. This technology is allowing machines to do everything from disease diagnosis to musical composition to playing video games. Now, a team of scientists and engineers at the IBM Research lab in Dublin have set deep learning Read More
Source – economictimes.indiatimes.com Scientists have developed a new artificial intelligence system that can decode the human mind, and interpret what a person is seeing by analysing brain scans. The advance could aid efforts to improve artificial intelligence (AI) and lead to new insights into brain function. Critical to the research is a type of algorithm called Read More
Source – insidebigdata.com Technologies such as smart sensors and the Internet of Things (IoT) are enabling vast amounts of detailed data to be collected from scientific instruments, manufacturing systems, connected cars, aircraft and other sources. With the proper tools and techniques, this data can be used to make rapid scientific discoveries and develop and incorporate more Read More
Source – tech.co Ever since its introduction as an academic discipline back in the 50s, AI has led to a combination of disappointment and optimism. In fact, technological options that were conveyed as impossible, such as optical character recognition, are, presently, run-of-the-mill. While other technologies are yet to be mastered, such as autonomous cars, AI is an excellent Read More
Source – enterprisetech.com Artificial Intelligence and Deep Learning are being used to solve some of the world’s biggest problems and is finding application in autonomous driving, marketing and advertising, health and medicine, manufacturing, multimedia and entertainment, financial services, and so much more. This is made possible by incredible advances in a wide range of technologies, from Read More
Source – computerweekly.com More than just a technology buzzword, microservices are changing the way organisations develop software, according to the technology head honcho at SAP Hybris. Speaking to Computer Weekly on the sidelines of a recent company event, Moritz Zimmermann, chief technology officer of SAP Hybris, said unless organisations move from a “centralised command and control” way of Read More
Source – chinadaily.com.cn Guizhou province takes advantage of new technology to develop economy, boost employment and combat poverty Guizhou in Southwest China struggled with unemployment and poverty before big data created a big future for the province. Nestled in a mountainous region, it has been transformed in the past three years into an innovation hub as Read More
Source – theconversation.com Some people are afraid that heavily armed artificially intelligent robotsmight take over the world, enslaving humanity – or perhaps exterminating us. These people, including tech-industry billionaire Elon Musk and eminent physicist Stephen Hawking, say artificial intelligence technology needs to be regulated to manage the risks. But Microsoft founder Bill Gates and Facebook’s Mark Zuckerberg disagree, saying the technology is not nearly Read More
Source – firstpost.com The notion of artificial intelligence is something which has long excited technological society. Among the various stories constructed around it are (as in the film Terminator) those of robots ruling the world with humans fighting a losing battle against them. Gary Kasparov, the world chess champion, was matched against an IBM supercomputer named Deep Read More
Source – huffingtonpost.com In the quest to personalize your experience with the latest technologies, and as a reward for your dedicated participation in signing up for new services without reading the fine print in their consent agreements, the powers that be have a special gift for you. Yes, it’s your own personal panopticon! Previously only reserved for fiction Read More
Source – cnbc.com From Amazon’s Alexa learning which restaurants its users like, to Apple’s iPhone predicting the next word in a text message, artificial intelligence (AI) is already having a significant influence on everyday life. But Northwestern economist Benjamin Jones and his colleagues are now asking what happens to economic growth if artificial intelligence starts generating original thought. 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 – opensource.com Microservices have been a focus across the open source world for several years now. Although open source technologies such as Docker, Kubernetes, Prometheus, and Swarm make it easier than ever for organizations to adopt microservice architectures, getting your team on the same page about microservices remains a difficult challenge. For a profession that Read More
Source – computerworlduk.com Over the last few years, machine learning threat detection and defence company Darktrace has been something of a rising star in the cybersecurity industry. Its core unsupervised machine learning technology lend it the reputation of being one of the best in AI-enabled security. But what exactly do those on the cutting edge of cybersecurity research worry Read More
Source – mit.edu Every year 40,000 women die from breast cancer in the U.S. alone. When cancers are found early, they can often be cured. Mammograms are the best test available, but they’re still imperfect and often result in false positive results that can lead to unnecessary biopsies and surgeries. One common cause of false positives are so-called Read More
Source – finextra.com Navigating the turbulent waters of Artificial Intelligence (AI) and Machine Learning (ML) can seem like a daunting task to the uninitiated. In fact even the question of how AI relates to ML is answered differently depending on who you ask, as evidenced by the numerous articles about on these topics. In this area, Read More
Source – lexology.com In this post, we introduce a series of articles on artificial intelligence and the law. We will seek to set out the key legal issues involved in AI, how businesses and society can manage those issues and use AI responsibly, and the legal trends we are seeing in this emerging space. Firstly, we Read More
Source – dataconomy.com The importance of data science is only going to grow in the coming years. As we see the results of our data-empowered work take form in how we shape our businesses, our products and our own goals, we are beholden to take a reflective gaze at the relationship between our daily tasks and Read More
Source – bbc.com If my email inbox is anything to go by, a technology revolution is under way that is going to transform all of our lives very soon and it is called artificial intelligence. A Welsh company is using AI to detect North Korean bio-weapons. I could pop over to California to hear about “AI Read More