There are endless discussions on the databases arena about which DBMS is best suited for operational or data warehousing analytics, which one is the most efficient for online transaction processing, or which one is suitable for semantic integration. Recently graph databases are growing in popularity, especially in the enterprise space, and perhaps that adds more headache on those vendors that try to differentiate from competition and on those clients that are completely uncertain how to embrace this database technology. Recently Bloor published a report about Graph and RDF Databases. The author, Philip Howard, claims that "the difference between a true graph product and a triple store is that the former supports index free adjacency (which means you can traverse a graph without needing an index) and the latter doesn't". On the contrary Weinberger, CEO of ArrangoDB, argues that this is not a fundamental criterion on what is a graph database.

On a chilly March afternoon last year in the South Korean capital Seoul, a computer algorithm made history. A program called AlphaGo beat the reigning human world champion at go, an ancient Chinese board game considered to be one of the most complex pastimes man has ever devised. The game has remained an inviolably human pursuit for centuries, and one of the hardest challenges for artificial intelligence (AI) because of the vast number of possible moves -- more than the number of atoms in the universe -- and the need to employ creativity to win. In Seoul's Four Seasons hotel, AlphaGo's victory over five games was ruthless: Lee Sedol, the 33-year-old human go grandmaster, lost 4-1. At a press conference afterwards, he said with a trace of wonder: "Today, I am speechless."

The healthcare technology sector has given rise to some of the most innovative startups in the world, which are poised to help people live longer, better lives. The innovations have primarily been driven by the advent of software and mobility, allowing the health sector to digitize many of the pen and paper-based operations and processes that currently slow down service delivery. More recently, we're seeing software become far more intelligent and independent. These new capabilities -- studied under the banner of artificial intelligence and machine learning -- are accelerating the pace of innovation in healthcare. Upon close evaluation of the opportunities that exist within each area, it becomes obvious that the stakes are high.

From the day we founded Spare5, we had a somewhat crazy goal. Okay, we actually had (and have) quite a few ambitious goals. The one that is top of mind for me today is creating a sense of community among a global, diverse group of people who choose to spend their spare time in our app and website. We affectionately refer to our users as "Fives." Everyone has passions, skills, insights, and free time.

There's long been talk in medicine about the need for doctors to listen to patients. Now that advice is being taken literally to diagnose concussions and other hard-to-diagnose brain disorders. Whether caused by a blow to the head during a football game or an accident, concussions are particularly hard to identify. A Utah-based startup is easing that process using AI and the patient's voice to detect telltale shifts in vocal patterns -- shifts human ears can't pick up -- to help doctors make the right call. The company, Canary Speech, is building voice tests that use GPU-accelerated deep learning to pick up the subtle voice tremors, slower speech and gaps between words that may reveal brain injuries, or warn of diseases such as Parkinson's or Alzheimer's.

Just under a year after their $12.5 million Series A funding round, Israeli Artificial Intelligence for ecommerce startup Twiggle announced today the release of their Semantic API product, bringing their accumulated expertise in search to the wider online shopping market. Twiggle was co-founded in December of 2013 by CEO Dr. Amir Konigsberg, previously one of the members of Google's emerging markets operations, and Dr. Adi Avidor, a former engineering tech lead at Google. In the time since their Series A, they have picked up another $5 million from Alibaba, doubled their team, and moved shop to new offices overlooking Tel Aviv. Describing what they have built in short, this company has made search for ecommerce usable to the point that it becomes a near enjoyable experience. Their engine processes through lists of products, understanding the attributes that make them what they are.

Build Cool AI Technology in 90 Minutes and Learn by Doing (No Coding!) If you're reading this, you probably know that, arguably, artificial intelligence is the most significant technological developments of our time. There will be people who are able to use AI to do incredible things and others who watch technology and the world change around them at a blistering pace without understanding fully what's going on. If you're someone who stays "in the know," you need to learn about AI. We think that you can best learn by doing.

Let's talk about the millennial generation -- the demographic segment so coveted that marketing managers from all over the globe are fighting over them. Are they really such a complex generation that we must resort to artificial intelligence to figure out what they want and to keep them coming back for more? Turns out they are, and AI is indeed the ultimate weapon in the fight for the millennial generation's ever-shortening attention span. Luckily, rapid strides in the field of machine learning will help unravel what this fickle "target market" really wants. Machine learning is a crystal ball in the world of AI.

On Dec. 6, 2016, thousands of translators filed into office buildings across mainland China to pore over brochures, letters, and technical manuals, all in foreign languages, painstakingly rendering their texts in Chinese characters. This marathon carried on for 15 hours a day for an entire month. Clients that supplied the material received professional-grade Chinese versions of the originals at a bargain price. But Baidu Inc., the Beijing-based company that organized the mass translation, got something potentially more valuable: millions of English-Mandarin word pairs with which to train its online translation engine. China is infamous for its knockoffs, whether luxury handbags or web startups.

Google Home has come under fire after slipping a promo in for the movie'Beauty and the Beast' while sharing information about several of its owners' days. Many Reddit and Twitter users have reported hearing an'advertisement' for the opening day of the film after using the configuration'My Day' when speaking to the virtual assistant. Following information about the weather, commute and daily reminders, the AI seamless said'By the way, Disney's live action Beauty and the Beast opens today'. Commute: Hear an overview of traffic to work and an estimated travel time. Reminders: Hear a list of reminders that you have set for the day.