A US company claims to already know the nominations and winner of Best Picture for next months annual Academy Awards – aka the Oscars, by using artificial intelligence. The Massachusetts based start-up, Luminoso, unveiled its list (see below) almost two weeks before voting for the list of nominees officially closes (January 24) – and more than a month before the awards takes place at the Dolby Theatre in Hollywood (February 26). The firm generated the results by first pulling together over 84,000 reviews written by movie goers (not critics) which have been published on the IMDB website over the past four years (2013-2016) . It then used its Natural Language Processing software, 'Luminoso Analytics', to analyze the text and identify correlations between topics discussed in the reviews and the eventual Oscar nominees and winners. It found that certain terms, including "narrative," "cinematography," "plot," "visuals," "stunning," "experience," and "masterpiece," were more prevalent in reviews of moves that later went on to be nominated and/or win the Oscars.

Content marketing is just two words. But it has evolved to become a complex intersection and eco-system of art and science. For many of us it is a confusing mess of different opinions and disciplines fighting for our attention. We need to distill the clutter and noise of shiny new ideas and distractions into the essential elements you need to foster and develop for content marketing mastery. These are the mindsets, habits and skill-sets you will need to develop to succeed as a content marketer in an age of machines. And you need to hug the geeks, build the robots and nurture the creatives. Here are my 10 laws for content marketing mastery. Andy Grove in his book "Only the Paranoid Survive" fosters the idea of healthy paranoia in a world that keeps changing. The internet used to be just a universe of websites. Today the smartphones rule the world. It is a web of apps and platforms. But the reality is that the digital world will keep changing. So you can never relax and and settle. We can no longer rely on one platform. Search, Facebook news feeds, the Twitter stream and even email has been disturbed.

Fears of AI in Healthcare: The survey indicates that the top two fears patients and caregivers have when it comes to artificial intelligence are lack of human oversight and the potential for machine errors leading to mismanagement of their health. No Substitute for Your Doctor: When it comes to the possibilities of doctors being replaced by algorithms or robots, fears are clearly evident with fewer than 20 percent of patients surveyed perceiving any benefit to their future healthcare in receiving diagnosis or treatment recommendations from a virtual assistant. Strong Comfort in Using AI to Scale and Support Nurses: Switch the focus to the critical role played by nurses in supporting patients, and a different picture emerges. The number one benefit is seen as 24x7 on-demand access to answers and support, followed by monitoring for their general health and wellness, or for questions around a specific medication they've been prescribed. A'realistic voice' with a professional, warm and empathetic tone is seen as appealing by 72 percent - more important than a human name, face or gender.

September is almost here in Cambridge, MA and this signals a new year of serious learning and mind-blowing innovation. We are heading toward a workforce that integrates artificial intelligence (AI), cognitive computing, machine learning and virtual and immersive reality with people; a new kind of workforce diversity. And how we define the term work itself is going to shift as well. This should be the year we all truly comprehend the way our workforce and work processes are changing. If we don't, we'll be behind the curve and dealing with the consequences, which is a disengaged and frustrated workforce, workplace anxiety, a lack of clarity over who's in charge of what, and more.

A man walks through the Watson Premier display to learn about IBM Watson at CES in Las Vegas, Nevada, January 9, 2018. As developments, standards and controversy around Artificial Intelligence (AI) explodes, compelling new groups are emerging that will drive expansion and implementation of AI at a new pace and depth. However, one such exclusive, burgeoning collective entitled #AIShowbiz Executive Roundtable is making particular moves. This Roundtable is one of the first business communities in the country solely dedicated to the intersection of AI and the entertainment industry, and it has powerful plans for 2018. In fact, the #AIShowbiz Executive Roundtable is an ancillary property of the larger #AIShowbiz Summit which actually just completed its second-year of panels and keynotes with various influencers in AI from around the world during a day-long conference in Los Angeles, California.

The newest artificial intelligence out of San Francisco-based tech firm Aeolus Robotics is a revolutionary robot that can pretty much second guess your family's movements, their identity, and even perform household duties from moping the floor to getting drinks out of the fridge. While the flying cars that were promised to us in The Jetsons are lamentably still on the drawing board, a digital domestic goddess by the likes of Rosie The Robot has actually arrived. The mechanical mate, which is expected to be available by the end of the year, will reportedly cost as much as a car at around $US20,000 ($25,000) and is described by Aeolus as being the height and weight of a 12 year old -- however undoubtedly more house-trained. Just like a creepy scene out of (insert favourite Sci Fi film here) this amazing android can distinguish between family members' faces, recognise where household items are supposed to go (then put them back in place) and can keep a sly eye open for emergencies like a fire or notice a change in posture and possibly prevent a fall. The yet to be officially named "Aeolus Robot" can also move furniture, find lost items and even learn the household schedule via an information sharing network.

It has been reported repeatedly that discriminative learning of distance metric boosts the pattern recognition performance. A weak point of ITML-based methods is that the distance threshold for similarity/dissimilarity constraints must be determined manually and it is sensitive to generalization performance, although the ITML-based methods enjoy an advantage that the Bregman projection framework can be applied for optimization of distance metric. In this paper, we present a new formulation of metric learning algorithm in which the distance threshold is optimized together. Since the optimization is still in the Bregman projection framework, the Dykstra algorithm can be applied for optimization. A nonlinear equation has to be solved to project the solution onto a half-space in each iteration. Na\"{i}ve method takes $O(LMn^{3})$ computational time to solve the nonlinear equation. In this study, an efficient technique that can solve the nonlinear equation in $O(Mn^{3})$ has been discovered. We have proved that the root exists and is unique. We empirically show that the accuracy of pattern recognition for the proposed metric learning algorithm is comparable to the existing metric learning methods, yet the distance threshold is automatically tuned for the proposed metric learning algorithm.

Media innovation does not happen in a silo. It happens in concert with emerging technology, advances in science, changes in the cultural sector, and thought leadership from many other fields of knowledge. Therefore, it is important to understand the suite of new technologies and innovations that are changing the human communication architecture and our social systems. What are the media-related emerging technologies? How will they be used in society, industry and commerce?

Yes, there's a lot to love about Alexa. The list of her skills grows daily. But one thing she can't do? Now, that might be by design, as some people would it find it creepy -- or just plain irritating --- to have Alexa start talking while they're in the middle of a phone call or TV show. Yet if your voice assistant, be it Amazon Alexa or Google Home, could start talking of its own volition, it would actually be very useful.

Police in China have introduced mobile facial-recognition units that can be mounted right on officers' glasses.