Apple is preparing to completely redevelop its fingerprint sensor to feature in a new iPhone, according to patent filings. The rumoured development is probably a way of having the technology fit into its next handset, mostly referred to as the iPhone 8. Because that phone is likely to bring with it an entirely new design – and a range of never-before-seen features – some of the most central parts of the phone will have to be re-designed. Apple is planning on making the display of the new phone reach all the way across the front of the handset, according to rumours, doing away with the black or white plastic that has surrounded the screen in some form since the very first iPhone. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

Leveraging the power of artificial intelligence (AI) and the surging popularity of messaging apps, conversational interfaces are enabling unprecedented banking engagement and re-establishing relationship banking. Chatbots are a simple, lightweight solution to a host of legacy banking problems, giving progressive banks and credit unions a competitive industry edge. The arrival of the digital age has disrupted the retail banking industry and altered the relationship between banks and their customers. Where banking once meant interacting with customers in brick-and-mortar branches, new digital banking channels like websites and mobile apps have opened an entirely new way to reach customers and do business. Online and mobile banking have allowed banks to reach customers more easily and frequently, and have given customers unprecedented access to their financial information.

San Francisco startup Sense.ly has raised $8 million in a Series B round of venture funding to bring its virtual nurse technology to clinics and patients of every kind. The company's app helps physicians stay in touch with patients, and prevent readmission to the hospital. Adam Odessky describes the platform as "A cross between Whatsapp and Siri that captures all the important signals about a person's health." On the patient side, Sense.ly asks users to tell a nurse avatar how they're doing with 5-minute "check ins" either once a day, or every few days, on their smartphones. Patients can simply talk to the app, no typing required.

True--the Internet of Things (IoT) and artificial intelligence (AI) hold huge promise in helping us better engage and satisfy our customers. But that promise still depends heavily on our ability to process and act on the data we're gathering in a way that is meaningful and positive for our customer base. Research shows that within a few years, 89% of businesses will compete primarily on customer experience. Luckily, in the age of digital transformation, today's start-ups have a whole new world of tools to help them create and maintain the types of relationships their customers so badly want, and in record time. Below, I offer a few tips on incorporating effective, meaningful IoT, and AI into your overall business strategy.

We are in an age in which machine learning has increasing importance in our daily lives. Machine learning is put into action whenever your mobile map application automatically reminds you to leave for your next appointment because of unusual traffic situations. Besides personal assistants on your cell phones, wearable sport devices use machine-learning algorithms to propose personal training plans, and banks depend on accurate machine-learning models to detect malicious transactions. Healthcare, for instance, has also started to find helpful patterns in medical data using machine learning. Modern technologies allow for close monitoring of a patient's condition through a large volume of data provided by a number of sensors.

You may have noticed that I'm writing a little less about artificial intelligence than I had been. It may be that Skynet has imprisoned the real David Raab to block him from issuing dire warnings about its imminent threat to humanity and replaced him with a less alarmist simulation. You can't actually prove that isn't happening. But the David Raab, or Raab-bot, writing this will tell you it's because he's concluded that AI is destined to become so pervasive that it doesn't make sense to treat it as a distinct topic. It will simply be embedded in everything and so should be evaluated as part of whatever it belongs to. Lead Genius is a good example.

Humans on bicycles have a lot to gain from self-driving cars that move humans out of the driver's seat. Because drivers are judged to be at fault in the majority of cycling accidents that result in serious injury or death. Unfortunately, it's harder for an autonomously driven vehicle to avoid a bicycle than a car. A number of studies from different countries have found that drivers are solely responsible for between 60% and 80% of collisions between cars and adult cyclists. The numbers are similar for collisions that result in serious injury or death.

Banks around the world are being confronted with a record number of regulations, and those falling short of institutional obligations are paying a high price for their errors. In response, major financial institutions are grasping big data solutions in a bid to comply with often dense regulations and reduce regulatory breaches. "Considering many banks have grown organically, often via merger and acquisition, their data is not always consistent and well organised," according to James Arnett, a partner at business and technology consulting firm Capco. Mr Arnett believes that new tools can be created through the application of data analytics, which will transform banks compliance programmes from manual, non-scalable projects into lower-cost and automated processes. "There is a real opportunity for banking clients to embrace data analytics to answer the underlying theme of regulation strategically rather than to treat each regulation as a'tick-the-box' exercise," he says.

Artificial intelligence is learning to take on an increasing number of sophisticated tasks. Google Deepmind's AI is now able to imitate human speech, and just this past August IBM's Watson successfully diagnosed a rare case of leukemia. Rather than viewing these advances as threats to job security, we can look at them as opportunities for AI to fill in critical gaps in existing service providers, such as mental healthcare professionals. In the US alone, nearly eight percent of the population suffers from depression (that's about one in every 13 American adults), and yet about 45 percent of this population does not seek professional care due to the costs. There are many barriers to getting quality mental healthcare, from searching for a provider who's within your insurance network to screening multiple potential therapists in order to find someone you feel comfortable speaking with.

Andrew Moore, the Dean of the Carnegie Mellon School of Computer Science and a former Vice President at Google, just told me something exciting. Moore predicts that 2016 will see a rapid proliferation of research on machine emotional understanding in machines. Robots, smart phones, and computers will very quickly start to understand how we're feeling and will be able to respond accordingly. AI might be a hot topic but you'll still need to justify those projects. "There will be immediate positive uses," he explains over the phone.