What Enterprises Can Learn from Machines (Or the Other Way Around) - Prodoscore


The real-world application of this algorithm used a series of iterative calculations to determine the best routes for traveling salespeople to use to fully and most efficiently cover their territory. Through the iterative process, this appeared to learn routes and improve efficiency over time. Many scholars considered this a little bit of a stretch on machine learning and artificial intelligence. To quote the introduction in the book, Artificial Intelligence: A Modern Approach (2016 edition): "We call ourselves Homo sapiens – man the wise – because our intelligence is so important to us." And while we consider ourselves intelligent, many people think only living, breathing beings can be intelligent and learn. I would have to disagree with that – thanks to the introduction of neural networks, natural language processing and all the other disciplines that touch artificial intelligence, machine learning is a real thing. Machines learn from the data that passes through them and are capable of processing vast amounts of data faster than us humans can. And those machines have the power to remember all that data, find the hidden patterns, the missing links, etc. – better than people can, and even faster than groups of people working together in enterprise businesses. Think about that device in your back pocket for a moment.

Apple iPhone X early adopters: We love everything about the phone, except Siri


Video: Apple dominates smartphone industry profits with iPhone X. A new survey of iPhone X owners has found extremely high levels of satisfaction with every single key feature of the device, but just 20 percent satisfaction with Siri. Although Siri's poor performance in the survey might not be a major surprise, the result for Apple's virtual assistant is a huge deviation from the finding by tech analyst Creative Strategies that overall 97 percent of customers are satisfied with the device. The company also found that 85 percent of iPhone X owners are "very satisfied" with their device, meaning a large portion of the overall satisfied number are not just satisfied but very satisfied. Creative Strategies' principal analyst Ben Bajarin said this result is one of the highest'very satisfied' rankings he's even seen with a tech product.

Huawei P20 Pro review: The best phone you'll never buy


For the past few months, Huawei has been making headlines for all the wrong reasons -- the US government warned against buying the company's phones, which led to the breakdown of near-final deals with AT&T and Verizon. Then Best Buy, one of its few US retail partners, backed away too. We're not sure if the concerns hold any weight, but one thing is clear: It sucks to be Huawei right now. And in the midst of that turmoil, Huawei revealed its new P20 Pro, a remarkably well-built device with a triple camera system and loads of style. I doubt that would ever win over a Sinophobic bureaucrat though, so there's a strong chance no one in the US will ever be able to walk into a store and buy one.

Smartphone app uses selfies to detect Pancreatic Cancer


Better screening tools for all Cancer would only be a good thing, but one type in particular where it could have a huge impact is Pancreatic cancer. The symptoms of this disease don't often reveal themselves until it is well progressed, and it carries a five year survival rate of just a measly 9 percent, but scientists have now developed what could prove an exciting new diagnostics tool, in the form of a smartphone app that scans the white part of the eye for one of the deadly disease's early tell tale signs. Because it is so difficult to detect, sufferers of pancreatic cancer are often diagnosed well after the disease has already spread, and this means surgical removal of the tumour, the only potentially curative treatment, isn't possible. One of the early symptoms of pancreatic cancer is jaundice which is characterised by yellowing of the skin and eyes as a result of a substance called Bilirubin in the blood. But the trouble with Bilirubin build up, other than the fact it can be indicative of a number of diseases, is that it can only be picked up by a blood test that physicians won't administer unless there is already cause for concern.

Smartphones - Artificial Intelligence and Machine Learning


Among other things, for a smartphone to be bang on trend these days it needs, a tall 18:9 display with minimum bezels (with a notch thrown in for good measure), a superb camera system and Artificial Intelligence and/or Machine Learning. Artificial Intelligence and Machine Learning are buzzwords being adopted and applied throughout our smartphones makeup, from the System on a Chip, all the way through to the operating system. So, is it just marketing hype, science fiction or is there fact being the fiction? Read on, and we--ll provide a straightforward, and where possible jargon-free overview. Artificial Intelligence is best characterized as the ability for a machine to exhibit practices including learning, behavior, and communication with no discernible difference from ourselves.

Deep learning transforms smartphone microscopes into laboratory-grade devices


Researchers at the UCLA Samueli School of Engineering have demonstrated that deep learning, a powerful form of artificial intelligence, can discern and enhance microscopic details in photos taken by smartphones. The technique improves the resolution and color details of smartphone images so much that they approach the quality of images from laboratory-grade microscopes. The advance could help bring high-quality medical diagnostics into resource-poor regions, where people otherwise do not have access to high-end diagnostic technologies. And the technique uses attachments that can be inexpensively produced with a 3-D printer, at less than $100 a piece, versus the thousands of dollars it would cost to buy laboratory-grade equipment that produces images of similar quality. Cameras on today's smartphones are designed to photograph people and scenery, not to produce high-resolution microscopic images.

OCBC Bank first to launch AI-powered voice banking with Google


OCBC Bank has launched artificial intelligence (AI) powered voice banking in collaboration with Google, following the launch of Google Home and Google Home Mini in Singapore. Consumers will be able to speak to the Google Assistant on a smartphone or a Google Home device to initiate a conversation about the bank's service offerings. OCBC Bank remains as the only bank to offer voice-based banking in Singapore. In addition, users can also speak to OCBC via the Google Assistance to calculate the mortgage loan amount they can afford, check unit trust prices and get foreign exchange rates among others. The Google Assistant will provide consumers with another self-service digital channel to interact with OCBC Bank that is both convenient and embedded in consumers' lives.

Internet of Things (IoT) to Transform the Digital Landscape


The Internet of things (IoT) market is expected a bullish run owing to increasing integration of technology in personal and professional lives. Adoption of networking technologies such as 4G, light fidelity (Li-Fi), and 5G and heavy use of Internet by consumers are expected to propel development of IoT devices. Need for automation in organizations to minimize labor costs have led to subsequent investments in R&D by prominent companies such as Dell and Intel (INTC). Advent of connected devices due to mainstream proliferation of smartphones and tablets has led to consistent investments by venture capital firms. High potential of IoT to assist in daily tasks of customers is one of its major drivers.

Here's why Apple built a recycling robot that rips apart 200 iPhones per hour


Apple has announced the creation of Daisy, a robot specifically designed to quickly disassemble several different iPhone models and recycle parts that can be used again, the company detailed in a Thursday press release. Daisy is actually a bit of a composite itself--the robot is made up of parts from another recycling robot, Liam, that was created in 2016, the release said. Daisy will be used first in the US and Europe and then expand worldwide. According to Apple's release, Daisy will be able take apart nearly 200 iPhones per hour, pushing the company closer to its goal of ending its reliance on mining for vital smartphone materials like cobalt. From every 100,000 iPhones Daisy disassembles, the release said, Apple will be able to harness about 1 kg of gold, 7.5kg of silver, almost two tons of aluminum, and 11kg worth of certain rare-earth elements and minerals like cobalt, palladium, tungsten, tantalum, and tin.

Top 10 Insurtech Trends for 2018 that set the Digital Insurance Agenda


December is the perfect month to predict the key insurtech trends for the year to come and to think of New Year's resolutions: what specific trends to tap into to enhance the digital strategies. We believe these trends should relate to what an insurance carrier would like to accomplish, to what a'winning insurance firm of the future' would look like. We believe that that such winning insurance firms will have four essential elements. Fast changing customer behaviour and new market dynamics make it essential for insurance carriers to increase the contact frequency and provide more added value in these contacts. Fortunately, connectivity, all sorts of connected devices offer an unprecedented entry in customers' daily life. Adding value is about solving the real problem. People don't want a mortgage; they want a nice house to live in. Insurance is usually just part of a solution, but rarely the entire solution to the real problem a customer is facing.