I've heard a lot of people saying that Machine Learning is nothing else than a synonymous of Artificial Intelligence but that's not true at all. The reality is that Machine Learning is just one approach to AI (in fact it's called the statistic approach). Let me first give a definition of Machine Learning. It's a type of artificial intelligence that gives computers the ability to learn to do stuff via different algorithms. On the other hand Artificial Intelligence is used to develop computer programs that perform tasks that are normally performed by human by giving machines (robots) the ability to seem like they have human intelligence.

Forget your smartphones and other accessories: voice communication underpinned by artificial intelligence (AI) is going to be the basis for our connected day-to-day lives. And the shift has already begun! Some pointers: a recent survey, which polled a representative sample of 500 US residents, revealed that only 2% of iPhone users have never used the virtual assistant Siri. Meanwhile Google revealed during the Google IO developer festival held in Mountain View in May just how much emphasis the Internet giant is now placing on voice technology. In the very near future, voice might well be used to direct Google searches, a prospect which could explain the firm's massive investment in Google Assistant. Another pointer: we can count on seeing increasingly high-performance and lower-cost artificial intelligence tools.

Startup Gong.io came out of stealth mode recently, announcing a 6 million in Series A funding. Gong's cloud-based artificial intelligence software helps improve the performance and productivity of B2B sales teams by analyzing their conversations with prospects and providing guidance about the best way to close a deal. Says Amit Bendov, Gong co-founder and CEO: "There are probably a thousand books on successful selling on Amazon--and they are all based on anecdotes." Instead, Gong brings science to the art of the deal, augmenting experience and intuition with facts and figures drawn from analysis of big unstructured data--all the conversations conducted by all members of the sales team. Over the last 20-plus years (most recently as CEO of fast-growing business intelligence startup Sisense), Bendov has developed a number of successful sales teams, all selling remotely.

Artificial intelligence (AI) will soon transform the way we work With recent developments like the launch of Facebook's chatbot store, Apple's acquisition of Emotient, and the release of Viv, a virtual assistant from the founders of Siri, there's no doubt that artificial intelligence (AI) has started to quickly proliferate across consumer applications. Nonetheless, many of these new applications are still more novelty than necessity as their functionality is rudimentary at best, though we've come to rely on them daily – from Amazon product recommendations to Facebook facial recognition (auto tagging). Until consumer-facing AI can usher in new technological advancements that provide deeper and more human-like interaction, it still has a long way to go before it reaches its tipping point.

The headline isn't mine – it was from Bloomberg (I think'robots' sell). The article is really talking about online dispute resolution tools powered by artificial intelligence. Most people are familiar with this kind of tool primarily because of eBay. Its site has an automated dispute-resolution tool which settles 60 million claims every year. Now, some countries are deploying similar technology to let people negotiate divorces, landlord-tenant disputes, and other legal conflicts.

Controlling a computer screen with nothing but your eyes may be coming closer and closer to reality, and it's all thanks to Eyefluence, a Silicon Valley-based startup whose mission revolves around hands-free navigation. While much of the team's progress has been kept closely under wraps, TechCrunch reports that Eyefluence has been testing out a number of different prototypes, using augmented reality glasses outfitted with cameras that keep track of what you're looking at. This technology, the team notes, could be used in a wide variety of applications -- whether you're looking to buy a dress online or send a photo of that dress to your friends, you can do it without lifting a finger. This hands-free system "moves as fast as you can think," said Jim Marggraff, founder and CEO at Eyefluence. And while there's other similar technology on the market, Marggraff insists that Eyefluence differs in its ability to function "without winking and without waiting."

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Google acquires another machine learning startup, predictive analytics and wearables are driving the continued adoption of electronic health records (EHR), Millennials are believers in the value of data-driven projects, Alteryx has released a new set of capabilities for its analytics platform, and H2O.ai has released an updated API for Apache Spark. The self-service data analytics company has added a new set of enhancements to the Alteryx Analytics platform. Among them is the ability to create models that progress from descriptive to predictive to prescriptive analytics. Alteryx said that this lets users evaluate possible alternatives and predict outcomes through simulation analysis. Other new capabilities include predictive modeling support for users working inside Teradata data warehouses with in-database analytics.

Is 2016 the year of AI? Big data? The answer, said CB Insights, may lie in media coverage. Whereas traditionally, many predictors relied on tracking investments in different areas or talking to specialists to uncover hot areas in tech, CB Insights' new tool called Trends now analyzes media reporting on different topics to uncover the next big thing. According to CB Insights, "When aggregated and analyzed, news media offers a powerful real-time method to discover, predict and plot the arc of rising expectations and excitement (and potential eventual disappointment) for emerging technologies." Compared to analysts, who may vary widely on predictions (on the drone market, for example, experts have cited market value from 1.27 all the way to 10 billion by 2020) media trends seem to be a more accurate way to gauge enthusiasm in an area.

By: HQAnon / (AnonHQ) The evolution of humanoid robots is well into the concerning stage at this point. DARPA's latest incarnation of its Atlas robot is seen in the following video beginning to walk at a pace with a sense of balance equal to most humans. Strangely, toward the end of the video, it is being "abused" by its human handler, which begs the question if a true artificial intelligence is permitted to flourish in this robot, if it might strike back at some point. At the very least, this robot's demonstration of dexterity in the warehouse is likely to threaten humans economically as humans continue to be outsourced to machine labor at record levels. But it's the latest humanoid robot from Hanson Robotics that might further heighten the level of concern.