Here at WIRED Book Club, we tend to read newer writers. Since publishing his first short story, "Tower of Babylon," in 1990, he's averaged less than a story a year, quietly cultivating a modest but devoted fan base that recognizes his work for what it is: sharp, spare, intensely thought-through science fiction. "Literary," as some like to call it. And that probably wouldn't have changed, had it not been for the release last year of Arrival, Denis Villeneuve's lovely meditation on time and psycholinguistics. Widely celebrated as cerebral, meaningful sci-fi, it sent people flocking to the source material--a Chiang short called "Story of Your Life," published in 1998 (well before the Internet and 1D corrupted that phrase).

No one doubts that artificial intelligence has unimaginable potential. Within the next couple of years, it will revolutionize every area of our life, including medicine. Although many have their fears and doubts about AI taking over the world, Stephen Hawking even said that the development of full artificial intelligence could spell the end of the human race. However, I am fully convinced if humanity prepares appropriately for the AI-age, artificial intelligence will prove to be the next successful area of cooperation between humans and machines. Concerning healthcare, artificial intelligence will redesign it completely – and for the better.

For people living with Asperger's syndrome, every social interaction can be a battle. While high-functioning in some aspects, those suffering from the form of autism often struggle to engage with other people and topics outside of their own spheres of interest. Keeping up with conversations can be especially challenging then, since difficulty interpreting the meaning of nonverbal communication (like gestures and facial expressions) and modulations in the speech patterns of others is one of the hallmarks of the condition. A pair of MIT researchers have set out to make these interactions less harrowing. Using wearable tech and AI deep-learning systems, they've developed a tool that could someday act as a real-time virtual social coach.

A silicon wafer designed to sort particles found in bodily fluids for the purpose of early disease detection. A chip that can diagnose a potentially fatal condition faster than the best lab in the country, a camera that can see so deeply into a pill it can tell if its molecular structure has more in common with a real or counterfeit tablet, and a system that can help identify if a patient has a mental illness just from the words they use: IBM is betting that a mix of AI and new hardware can make all three possible within the coming years. IBM's research labs are already working on turning these concepts into fully-fledged healthcare tools, combining the company's existing machine learning and artificial intelligence systems with newer kit including revamped silicon and millimetre wave phased array sensors. Playing House: How IBM's Watson is helping doctors diagnose the most rare and elusive illnesses Marburg Hospital's Centre for the Rare and Undiagnosed Diseases is using the cognitive computing system to solve some of the most complex medical cases. The latter will be used in'hyperimaging systems' -- tools that will be able to pick up not only images from the visible light that humans can see, but other parts of the electromagnetic spectrum that we can't.

AI is the next big thing, and I am not just referring here to my company brand. I mean artificial intelligence, or so-called machine learning technologies. The impact for financial advice and advisers is positive, profound and, I have to say, imminent. When global information technology research firm Gartner issued its strategic technology predictions for 2017 last October, artificial intelligence and advanced machine learning themes led the top 10. As Gartner's report states: "During the next 10 years, virtually every app, application and service will incorporate some level of AI in much the same way as consumer appliances have incorporated microprocessors. "Some of these apps will be obvious intelligent apps that could not exist without AI and machine learning.

We're getting really close to completely automated deliveries. Ocado Technology, the research division of Ocado, a large UK online grocery delivery company, today showed off a robot concept that it has been working on with a range of European universities and Disney Research's Zurich office. The robot is essentially a soft, malleable hand attached to a relatively standard industrial robotic arm that can be used to grip produce without damaging it. The fingers and palm of the "soft hand", which was developed by the Technical University of Berlin, are pieces of expandable rubber that are controlled by forcing air through them. The hand can adjust its shape around the object it's gripping, allowing it to pick up small objects, like an apple, as well as larger objects, like a bag of limes. Ocado said in a blog post that it's still developing its idea--in the video, the bot was able to pick up the fruit in front of it (which was actually fake), but can't yet pick up the objects on its own.

The rise of the chatbots continues as Cleo, a virtual money assistant described by its creators as the "Siri of personal finance," has launched on Facebook Messenger for users in the UK, reports Paybefore (Banking Technology's sister publication). The platform connects securely to bank and credit card accounts, enabling users to track spending, set budgets and receive reminders and alerts via text or voice commands. Along with Facebook Messenger, Cleo also is available as a standalone app or through integration with Amazon's Alexa and Google Home. The Facebook Messenger integration is a major step forward for Cleo, which was founded in 2016 and thus far has received $700,000 in funding from angel investors, including Skype founder Niklas Zennström. Currently, Cleo is only available in the UK, but the company is planning expansion into additional markets soon.

What is intelligent automation and what does it mean for the financial services industry? Banks currently face a number of specific problems for which intelligent automation - and within this the capability of AI - may provide solutions. Far from becoming our new masters, our prediction is that thinking machines could become our most trusted assistants, enhancing our productivity through providing us deeper and more timely information, and perhaps even automating the business of generating insights and making considered decisions. We believe that intelligent automation will, above all, allow us to free people from routine work and so empower them to concentrate on more creative, value-added services. The overall benefits to the economy from such enhancements could be large, as could the benefits in terms of enjoyment of work and quality of life.

NeuroCAP will be cheaper and more convenient for doctors, as well as more comfortable for their patients. We also just released a child-themed EEG cap, so young patients see a silly hat instead of a scary brain-scanning machine.) We do not compete with other EEG manufacturers, and don't plan to. Older-generation EEG-devices are ill-adapted for these markets; they also require trained neurologists to interpret the results and reach a diagnosis. But now, the advent of cloud storage, big data, microelectronics and wireless technology allows us to expand EEG's horizons.

AI has improved manifold in last few years. It Seems like soon the Robotics & Automation will be things of past and AI will take over. Most of the people are aware, about AI used by Google for search and other applications, Apple for SIRI, Amazon for Alexa, Facebook for Image recognition, Netflix for content recommendation etc. Now we are reaching a stage where AI tools like Watson implementation has started and some companies have started claiming the benefits. These successful implementations will follow a surge in implementations in similar fields and definitely loss of few jobs.