INSTANCES of artificial intelligence (AI), machine learning (ML), or deep learning are appearing across all sorts of enterprise service offerings. While there's a certain amount of bandwagon-jumping and overuse of the terms to grab headlines, machine-learning (et al) implementations are becoming quite the norm. Combined with a rise in the numbers of massive public networks of computing power (hyperscale data centers) offering everything-as-a-service (XaaS) from the cloud, it's no surprise that the big enterprise-level server vendors are responding with AI-centric technologies. The first into the fray is IBM, which has announced a new microprocessing chip and a server powered by it, the Power9 and the AC922 respectively. The chip is optimized for the particular demands of AI computation: in tests, it runs workloads on common AI frameworks such as Chainer and TensorFlow at four times the speed of existing systems.

NASA's successor to the Hubble Space Telescope, the James Webb Space Telescope, is currently scheduled to launch in the spring of 2019. But before that happens, the space agency needs to make sure the instrument is hardy enough to survive the harsh environment of space and to ensure that, JWST is being put through a variety of tests. In a statement Tuesday on NASA's website, the deputy project manager (technical) for JWST, Paul Geithner explained that the mechanical stress from the vibrations during the launch would only be the first of the many stressful conditions the telescope would go through. In addition, JWST would have to also cope with shrinking and expansion, induced by temperature changes in space. This is necessary for the space-borne observatory to survive years in space.

IBM has unveiled next-generation Power Systems Servers incorporating its newly designed Power9 processor, built specifically for compute-intensive AI workloads. Tthe new Power9 systems are capable of improving the training times of deep learning frameworks by nearly 4-times, allowing enterprises to build more accurate AI applications, faster. The new Power9 -based AC922 Power Systems are the first to embed PCI-Express 4.0, next-generation NVIDIA NVLink and OpenCAPI, which combined can accelerate data The system was designed to drive demonstrable performance improvements across popular AI frameworks such as Chainer, TensorFlow and Caffe, as well as accelerated databases such as Kinetica. As a result, data scientists can build applications faster, ranging from deep learning insights in scientific research, real-time fraud detection and credit risk analysis. Power9 is at the heart of the soon-to-be most powerful data-intensive supercomputers in the world, the US Department of Energy's "Summit" and "Sierra" supercomputers, and has been tapped by Google.

Microsoft has touted how artificial intelligence (AI) and machine learning are solving many problems. Now Redmond and IT security providers are applying AI in cyberthreat detection. Artificial intelligence (AI) and machine learning have existed in computer science for decades, but in 2017 they were the hottest things in IT. Touted to address everything from helping diagnose and cure major diseases to translating live Skype sessions on the fly and enabling smart chatbots, applying AI and machine learning's highest calling may come in the effort to protect PCs, devices and critical infrastructure. Adding deep learning, automation and predictive analytics has become a key imperative by virtually every provider of software this year amid an exponential rise in cyberattacks.

When I look up, I can see wispy clouds passing overhead. Large photos hang on the gallery walls. They're pictures of a landscape devastated by war and portraits of men fighting in those wars. I hear footsteps behind me. I turn around and watch two figures enter the room and take up stations in front of the portraits.

LONDON – Christine Keeler, the central figure in the sex-and-espionage Profumo scandal that rocked Cold War Britain, has died at 75. Her son, Seymour Platt, posted on Facebook that Keeler died Monday at a hospital near Farnborough in southern England. Born in 1942, Keeler was a model and nightclub dancer in 1963 when she had an affair with British War Secretary John Profumo. When it emerged that Keeler had also slept with a Soviet naval attache, the collision of sex, wealth and national security issues caused a sensation and helped topple the Conservative government. A naked photo of Keeler straddling the back of a chair is among the most famous U.K. images of the 1960s.

Following written evidence from PHG Foundation submitted to a House of Lords inquiry on Artificial Intelligence, PHG Foundation was invited to give oral evidence on the implications of AI for healthcare to the Select Committee on 21 November. In evidence to the House of Lords Select Committee on Artificial Intelligence (AI), PHG Foundation's Head of Science, Dr Sobia Raza highlighted the potential value of an NHS wide strategy on using health data for algorithm development to realise the potential of AI for patients and to ensure data sets are sufficiently representative of the UK population. The committee is considering the economic, ethical and social implications of advances in artificial intelligence. Responding to a question on how to ensure the robust evaluation of machine learning tools before they are used on patients, Sobia used the analogy of driverless cars, which may have been trained and then successfully tested on broad open highways in California but are faced with a very different set of decisions on narrow British country lanes. She said'It's the same in healthcare – the AI algorithms have to be tested under the conditions and the population in which they will be used.'

Open any business publication or digital journal today, and you will read about the promise of AI, known as artificial or augmented intelligence, and how it will transform your business. The fact is, AI will not only transform your entire business, whether you are in health care, finance, retail or manufacturing, but it will also transform technology itself. The essential task of information technology (IT), and how we measure its value, has reached an inflection point. Instead, insight is the new currency, and the speed with which we can scale that insight and the knowledge it brings is the basis for value creation and the key to competitive advantage. This trend is fueling a surging interest in deep learning and AI, or, as IBM calls it, cognitive computing.

Open any business publication or digital journal today, and you will read about the promise of AI, known as artificial or augmented intelligence, and how it will transform your business. The fact is: AI will not only transform your entire business -- whether you are in healthcare, finance, retail, or manufacturing -- but it will also transform technology itself. The essential task of information technology (IT) -- and how we measure its value -- has reached an inflection point. Instead, insight is the new currency. The speed with which we can scale that insight and the knowledge it brings is the basis for value creation and the key to competitive advantage.

The United States' technological sophistication has long supported its military predominance. In the 1990s, the U.S. military started to hold an uncontested advantage over its adversaries in the technologies of information-age warfare--from stealth and precision weapons to high-tech sensors and command-and-control systems. Those technologies remain critical to its forces today. For years, China has closely watched the United States' progress, developing asymmetric tools--including space, cyber, and electronic capabilities--that exploit the U.S. military's vulnerabilities. Today, however, the Chinese People's Liberation Army (PLA) is pursuing innovations in many of the same emerging technologies that the U.S. military has itself prioritized.