We have been using smartphones for over 20 years now. They have evolved from clunky brick-like devices, only to return back to clunky brick-like devices. Companies have toyed with various form factors, from flip phones to bendy phones and several other impractical designs. But it seems like the'slab' is here to stay. Limitations of the smartphone, include its small screen sizes, inefficiency multitasking, being a general nuisance in public, and not to mention the small fact that they can be used to spy on us.

San Francisco, US, February 16, 2018 -- Microsoft keeps pushing their assistant AI Cortana, in competition to Siri, Alexa, the Google Assistant, and works together with IFTTT to reach more devices and users. Cortana might be the forgotten contender from the voice assistant wars, as Microsoft-powered mobile devices fall into oblivion. But, there are still millions of Windows 10 PCs and tablets out there that can take your verbal orders via the company's home help. And for smart home users, the sexy creation from Halo reduced to your desktop buddy can now play a wider role thanks to IFTTT (If This, Then That) integration that enables it to work with a wider range of smart home devices. These include ecobee (pictured) and Honeywell smart thermostats, LIFX smart lighting and a range of other products, adding to the roster of supported gadgets.

Many machine intelligence techniques are developed in E-commerce and one of the most essential components is the representation of IDs, including user ID, item ID, product ID, store ID, brand ID, category ID etc. The classical encoding based methods (like one-hot encoding) are inefficient in that it suffers sparsity problems due to its high dimension, and it cannot reflect the relationships among IDs, either homogeneous or heterogeneous ones. In this paper, we propose an embedding based framework to learn and transfer the representation of IDs. As the the implicit feedbacks of users, a tremendous amount of item ID sequences can be easily collected from the interactive sessions. By jointly using these informative sequences and the structural connections among IDs, all types of IDs can be embedded into one low-dimensional semantic space. Subsequently, the learned representations are utilized and transferred in four scenarios: (i) measuring the similarity between items, (ii) transferring from seen items to unseen items, (iii) transferring across different domains, (iv) transferring across different tasks. We deploy and evaluate the proposed approach in Hema App and the results validate its effectiveness.

As machine learning and other areas of AI advance so does the tooling. Tooling for machine learning has become an abstraction upon complex mathematical algorithms that open up the technology to a wider audience. Advanced tooling like Microsoft's Azure Machine Learning and Cognitive Service APIs are available to software developers to use with limited to zero knowledge of the inner workings. For example, machine learning can be applied to images to enhance an application through computer vision. Computer vision allows developers to let the algorithm automate processes.

Just a few decades ago, interactions were slow. Customers sent their complaints through the mail, waiting months for a response that may never arrive. As technology advanced, businesses offered new ways to innovate and improve customer engagement -- at ever-increasing speeds. Snail mail became phone banks with advanced logical routing to subject matter experts. Then the conversation moved online, with inventions such as live chat and interactive voice response creating new channels for engaging with the customer.

Consider, if you will, the Olympic Village. It's no wonder that dating apps like Tinder light up the moment the Olympics begin… and that the Village has a reputation as a sort of sex Shangri-La. But despite the condoms that reportedly litter the Olympic Village by the end of the Winter Games--a record 110,000, or 38 per athlete, were provided this year--many will go unused because of pre-game superstitions. Plenty of elite athletes abstain from sex before competing--even though there's no scientific evidence to support their decision from either a physical or psychological perspective. Supposedly, athletes who swipe left on sex before competitions have an advantage on the field. Theories vary as to the exact reason why.

Samsung is betting that the future of smartphones lies in the camera. The firm today launched its highly-anticipated flagship'iPhone X killers', the Galaxy S9 (£739/$720) and S9 plus (£869/$839). Both feature a familiar all-screen design, but have a re-invented camera system that has been dubbed a'game-changer'. One of the biggest improvements is new dual-aperture technology. This allows the camera to automatically adjust the aperture depending on the scene that is being shot. The displays are the same as their predecessors, at 5.8-inch and 6.2-inch, respectively.

The Samsung Galaxy S9 and S9 have a new camera with Super Slow-mo video, low light capability and AR Emoji for a more personalized way to express yourself. Samsung Galaxy S9 comes in three colors in the U.S. This one is lilac purple. BARCELONA--Put it this way, Samsung left the radical changes to Apple. The Galaxy S9 and S9 smartphones that Samsung introduced at a crowded press gathering here in Barcelona don't look a whole lot different than last year's S8 and S8 handsets.

Price: £89.99Amazon's second-generation Echo is a revamped version of the device that invented the whole category of smart speakers in 2014. The new Echo is smaller, better sounding and better looking, in a choice of fabric or wood finishes. What makes the Echo great is Amazon's virtual assistant, Alexa. A ring of seven microphones in the top listens out for your choice of wake word – the default is simply "Alexa" – before sending what you say to Amazon's servers for interpretation. Alexa can almost always hear you including over music noise as loud as an extractor fan and from pretty far away.

It is predicted that the AI market will reach $153 billion in coming years. AI is slowly but surely making its presence felt in our daily lives. There are many applications of AI we are using today, from voice based personal assistant like Siri, Google Voice, Facebook bots, and Alexa, to more major advancements, like behavioural algorithms, suggestive searches, and self-controlled, self-driven vehicles boasting intense predictive capabilities. There are bots that can work as your personal assistant and help you order your food or clothes or even can book movie or flight tickets for you. However, artificial intelligence is still in its early stage.