The medical industry could be set for a "revolution" with the emergence of more complex artificial intelligence (AI), one of Microsoft's top researchers told CNBC on Wednesday, as technology giants look to enter the health care space. AI is a broad area, but one part of this called "machine learning", can be used to analyze a large amount of data, make predictions, and offer personalized recommendations. In theory, machine learning means that a piece of computer software can learn and get smarter. Microsoft and other major U.S. technology giants have been investing in AI, acquiring smaller companies, and finding applications. For Microsoft, the medical industry could be transformed with the tech.

CHENNAI: Ever logged onto an e-commerce website and felt confused on what to buy or where to go? To ease the process and deliver a better shopping experience, companies are investing heavily in artificial intelligence (AI) and machine learning. The startup uses AI to understand the semantics of websites along with the relations a product has with its pricing, discounts, etc and leverages those relations to find out the best deal (or coupon) available across any e-commerce site. So, how is Grabshack different from other price comparison website? Rajat explains, "We search live/real time across hundreds of ecommerce sites (like Google), while other deals and coupons sites in India manually enter deals and coupons on their site (curated list) from which they search."

The UK's digital landscape is changing fast and the challenges that businesses are facing are evolving every day. Digital Catapult continues to adapt to these changes, to understand the obstacles and opportunities digital companies are facing so we can best serve the community. Digital Catapult is a government funded not-for-profit organisation looking to help the digital economy grow. Part of how we achieve this is bringing together SMEs, enterprise, academics and corporates all working in the same emerging technologies to solve problems together. In August, we are running a series of workshops looking to grow new communities in Machine Learning, Smart Contracts (Blockchain), Low Powered Wide Area Networks, and VR, AR & Mixed Reality.

Our application AETROS TRAINER gives you a tool to quickly train and test your own digital image recognition expert for all kinds of use cases. You only need to upload your test data (images) and wait until the system finishes the training session. Once trained, you can verify the results and deploy the network in your own infrastructure. Researchers and data scientists can use AETROS TRAINER to build different neural networks using a graphical interface. The application generates basically valid Python code based on Keras.io,

Coding will join this list in time, however, where it differs wildly from the afore mentioned examples is it is unlikely to be lovingly preserved for future generations to admire, fiddle with or better still, reactivate. Its essence will not be reified for one specific reason – it can't be touched and humans value tactility. We touch immediately, both inside and outside the womb. Today, we find ourselves at a pivotal moment in our existence and about to experience an exponential period of rapid technological growth the likes of which is quite probably beyond our comprehension and at a base level, will have serious implications for coding. We rather arrogantly think that because we have a good grasp of our own technological advancement so far, we can somehow predict the mass cultural and behavioural shift about to happen as we question our own skills in the world.

The government can support the development of artificial intelligence by helping educate the public on the technology's potential applications and establishing an ethics policy on its use, several experts told the White House in response to a recent call for public input on future of AI. The White House Office of Science and Technology Policy submitted a request for information earlier this summer to help develop its stance on artificial intelligence, and several organizations responded to the call by outlining benefits and the challenges they believe researchers and policymakers will encounter as AI develops. The government needs to educate the public on artificial intelligence and dispel theories that it will lead to a robot apocalypse, Joshua New, policy analyst for the Center for Data Innovation, told FedScoop. "Destigmatizing it in the public sphere, saying, 'This is like a great technological benefit, we should be pursuing it aggressively,' I think that's the most important thing that the government can do," New said. The Center for Data Innovation responded to the RFI by noting that government should continue to talk about the benefits of AI and attempt to dispel fears of the technology.

If you're a smart technology provider, you give your customers a vast selection of tools to get their jobs done. Forward-thinking vendors do this through partnerships and integrations with best-in-class providers -- and, often, through acquisition of best-in-class providers themselves. As a case in point, consider Salesforce's acquisition of San Mateo, Calif.-based analytics provider BeyondCore this week, which Salesforce CEO Marc Benioff confirmed via a tweet. The terms of the sale were not disclosed. Several forces have come together to radically impact the power of analytics in the enterprise, namely big data and consumerized IT.

You already know that machine learning is essentially a form of data analytics, but where did it come from and how has it evolved to become what it is today? In the past couple of decades, we have seen a rapid expansion and evolution of information technology. In 1995, data storage cost around 1000/GB; by 2014 that cost had plummeted to 0.03/GB (2). With access to larger and larger data sets, data scientists have made major advances in neural networks, which have led to better accuracy in modeling and analytics. As we mentioned earlier, the combination of data and analytics opens up unique opportunities for businesses.

Bell started working at Intel in 1998. She brought her anthropological research and fieldwork techniques to the world of microprocessors, wearables and artificial intelligence. Over the years, her formal role has evolved from director of user experience at Intel's research lab to VP of corporate strategy. But regardless of the titles, her work has remained firmly focused on studying the patterns and complexities of human behavior across cultures. In her self-proclaimed role as a "full-time anthropologist and part-time futurist," she examines the meaning of "intelligence" within the context of machines, while she continues to trace its cultural impact on humans and their relationships. At a time when robotic helpers and virtual assistants are starting to infiltrate our personal lives, the need to assess the implications of this new kind of interaction feels more pertinent than ever. I recently called Bell to talk about the social impact of building relationships with our machines and the ways in which the story of AI is deeply connected to the history of human culture. In what ways does the study of human societies and cultures drive technological innovation? And how does that translate into your work at Intel?

Which is the best iPhone voice control technology? And which is the best Mac voice control? Which mobile platform - or speaker setup - offers the best voice control technology: Siri, Cortana, Google Now or Amazon Echo's Alexa? Siri has made a lot of progress in the last couple of years, developing into an impressive digital assistant that can handle all sorts of tasks on your iOS devices, on the latest Apple TV and - once macOS Sierra launches in the autumn - on Mac as well. This last step is long overdue: Siri's absence on the Mac has been a glaring omission for years, especially as Microsoft has had its own Cortana voice-tech running on Windows PCs since the launch of Windows 10 last year.