Limited Time Offer!

For Less Than the Cost of a Starbucks Coffee, Access All DevOpsSchool Videos on YouTube Unlimitedly.
Master DevOps, SRE, DevSecOps Skills!

Enroll Now

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

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

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

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

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

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

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

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

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

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

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

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

Read More

Source – csoonline.com Cybersecurity professionals and the organizations they attempt to protect are drowning in data about threats and false-positives, with more than250,000 new malicious programs registered every day. Organizations are seeing anywhere from 500 to 200,000 security alerts per day, yet often don’t investigate them. One study shows thatfewer than 1% are investigated. “Most organizations are dealing with 10 to 25 Read More

Read More

Source – thehindubusinessline.com Manufacturing industries have shut-downs, both routine and sudden, when a large number of employees is involved in finishing a multitude of tasks. Each employee quite often works independently of the other and what they do is shared either in daily or weekly team meetings. But what if each one knew what the other Read More

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

Read More

Source – phys.org Robert Granetz has been a research scientist in MIT’s Plasma Science and Fusion Center for more than 40 years. He recently gave a talk hosted by the MIT Energy Initiative (MITEI) on using machine learning to develop a real-time warning system for impending disruptions in fusion reactors. A specialist in magnetohydrodynamic instabilities and Read More

Read More

Source – wired.com THE GRAPHICS ARE not dazzling, but a simple sumo-wrestling videogame released Wednesday might help make artificial-intelligence software much smarter. Robots that battle inside the virtual world of RoboSumo are controlled by machine-learning software, not humans. Unlike computer characters in typical videogames, they weren’t pre-programmed to wrestle; instead they had to “learn” the sport by trial and Read More

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

Read More

Source – cmswire.com As machine learning algorithms are increasingly embedded in today’s analytics applications, this offspring of artificial intelligence is grabbing headlines. In reality, however, the technology isn’t as new as you might think. Its roots in academia date back to the 1950s. Machine learning algorithms have risen out of predictive analytics and use data to learn and Read More

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

Read More

Source – gigabit.net While robots and computers will probably never completely replace doctors and nurses, machine learning, deep learning and AI are transforming the healthcare industry, improving outcomes, and changing the way doctors think about providing care. In the past decade, the medical community has taken a major step in adopting electronic health systems to make Read More

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

Read More

Source – deccanherald.com It was 1956 when attendees at the Dartmouth conferences created the field of Artificial Intelligence (AI), opening the storm gates for creativity and imagination in Hollywood, and across the scientific world. Everyone wanted to know if AI would be the key to our civilisation’s future or the key to open Pandora’s box, enabling Read More

Read More

Source – thehindu.com American tech giant Oracle on Thursday announced the first batch of startups for its Startup Cloud Accelerator programme in New Delhi and Mumbai. The selected young ventures are using technologies such as artificial intelligence and Internet of Things to solve problems such as diagnosing diseases among newborn babies to providing anti-counterfeiting solutions to Read More

Read More

Source – computerworlduk.com On Sunday Oracle announced the launch of its new, highly autonomous database, but the vendor didn’t leave it there. Two days on, during its massive OpenWorld conference in San Francisco, the company revealed the development of a supporting, highly-automated cyber defence service. This service has been designed to work together with the autonomous Oracle 18c Read More

Read More

Source – computerworld.com Part of a growing trend, MobileIron announced today that it is adding machine learning-based threat-detection software to its enterprise mobility management (EMM) client, which it said will help address an increase in mobile attacks. The Mountain View, Calif.-based company said it has partnered with Zimperium, a maker of machine learning-based behavioral analysis and threat Read More

Read More
Artificial Intelligence