Petrobras company

Low Gasoline Prices, What are Consumers Doing with the Extra Cash?


She is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp pr... taking place between April 11th to July 1st, 2016. This post is based on her third class project - Web Scraping, due on the 6th week of the program. Oil prices have fallen sharply since the summer of 2014. Prices bottomed in February 2016, since then they have gradually increased. While the breakeven cost is a popular topic among investors, on the consumer side gasoline prices are very cheap.

IBM Wants To Build AI That Isn't Socially Awkward


Though artificial intelligence experts may cringe at the portrayals of humanlike AI in science fiction, some researchers are nudging us closer to those visions. "I think it's useful that your user interface not only understand your emotions, your personality, your tone, your motivations, but that it also have a set of emotions, personality, motivations," says Rob High, the CTO of IBM Watson. "I think that makes it more natural for us." Last month, High's company unveiled Project Intu, an experimental platform that allows developers the ability to build internet of things devices using its artificial intelligence services, like Conversation, Language and Visual Recognition. Someday, the system promises to let programmers create a staple character of sci-fi: the gregarious, hyper-connected AI like J.A.R.V.I.S. of Iron Man, KITT of Knight Rider, or Star Wars' C3PO.

At least 30 from MIT named to 2017 Forbes 30 Under 30 lists

MIT News

Forbes' sixth annual 30 Under 30 list calls itself "the most definitive gathering of today's leading young change-makers and innovators" who are not yet 30 years old. As in past years, the MIT community is well-represented throughout. At least 30 MITers are spread among the 600 names and 20 diverse categories in this year's list. The MIT faculty, staff, students, and alumni named to the 2017 Forbes' 30 Under 30 are listed below with the category for which they were recognized in parentheses. "Based in Botswana, where 22 percent of the population has HIV, Young 1ove has developed a curriculum that has reached over 35,000 students in more than 360 schools."

17 Audacious Predictions For 2017


"Tomorrow belongs to those who can hear it coming" -- David Bowie Like all new year's traditions, my unveiling of The Crystal Ball (tm) at Forbes comes when the slate is clean, the resolutions are resolved, the possibilities seem... possible. Of course, the sobering reality is that 12 months from now, I'll look back at this list of predictions with a mix of wonder at how many came close to the mark and how many woefully missed. For an idea of how that worked last year, you can look at my review of 2016: Recapping Last Year's Predictions: Trumped! As 2017 kicks off, we all want to know what will happen. Like most of you, I have no secret formula.

Scaling up AI


Scalability is a word with many meanings and can be confusing, particularly when applied to machine learning. That is different from the typical understanding of data parallelism, in which case multiple instances of an algorithm are deployed in parallel to process chunks of data simultaneously. An example of scalability of instance (definition above) is for example computational fluid dynamics (CFD). Aside from the need to obtain better initial conditions, one can run the fluid dynamics on a finer grid and achieve better (more accurate) results. Obviously it requires more compute, but generally the increase in complexity can be offset by adding more processors (there are some subtleties related to Amdahl's law and synchronisation).

4 Predictions for Supercomputing in 2017


The growing competitiveness of China and shifting political landscapes mean that 2017 holds some uncertainties for supercomputing. Yet familiar technologies remain strong and provide a stable foundation with fewer surprises. Here are four predictions of where the industry is headed in 2017. Despite gaining ground as a marketing term, and being a rich field for basic and applied research, it's highly doubtful we'll see the emergence of AI as a dominant force in the next 12 months. We're still far from the "singularity" that so many of us tech-geeks fear, so don't expect AI to jump out of marketing copy and begin hunting us down a la The Terminator by next Christmas. - #Tech #Stocks in #AI/ #Robotics Just Added: $MBLY, $YASKY, $IRBT, $EKSO, $CGNX, $ISRG, $BKFS, $ROK, $PH, $DLPH, $MGA, $ARAY, $LECO, $FARO


Newswire), a global news source and investor resource covering actively traded sectors announces this week's additions to its membership global stock directories in technology, mining, energy, biotech and marijuana/hemp. The biggest addition is an entire new section to the Tech Stocks lists featuring Artificial intelligence (AI) and Robotics companies. Robotics have been with us for some time now - assisting with simple chores (like the Roomba vacuum) all the way though space flight and to police bomb squad and military uses. Some names in our list will be recognizable as having been in the tech sector for some time and robotics/AI is just another branch for them - companies like Amazon, Apple, Google, Microsoft and Facebook that have become an everyday part of our lives. Also included are assembly-line robotics companies and companies making robotic parts, all the way to makers of machine vision technologies and automotive intelligence tech.

How Stanford Built a Humanoid Submarine Robot to Explore a 17th-Century Shipwreck

IEEE Spectrum Robotics Channel

Back in April, Stanford University professor Oussama Khatib led a team of researchers on an underwater archaeological expedition, 30 kilometers off the southern coast of France, to La Lune, King Louis XIV's sunken 17th-century flagship. Rather than dive to the site of the wreck 100 meters below the surface, which is a very bad idea for almost everyone, Khatib's team brought along a custom-made humanoid submarine robot called Ocean One. In this month's issue of IEEE Robotics and Automation Magazine, the Stanford researchers describe in detail how they designed and built the robot, a hybrid between a humanoid and an underwater remotely operated vehicle (ROV), and also how they managed to send it down to the resting place of La Lune, where it used its three-fingered hands to retrieve a vase. Most ocean-ready ROVs are boxy little submarines that might have an arm on them if you're lucky, but they're not really designed for the kind of fine manipulation that underwater archaeology demands. You could send down a human diver instead, but once you get past about 40 meters, things start to get both complicated and dangerous.

BLOG: Can Oil, Gas Really Benefit from Artificial Intelligence?


It will take time, but AI could offer oil and gas companies a new way of maintaining their competitive edge. The capabilities of artificial intelligence (AI) technology have grown in recent years. But further development is needed before AI's benefits can be fully reaped, The Wall Street Journal reported earlier this month. The Journal reported that AI is appearing in people's everyday lives. But many companies lack the data, problems that just the expense of creating an AI system, and lack of people capable of building such systems.

Deep Thinking about AI in Communications


Artificial Intelligence (AI) is one of the latest technologies seen as a mechanism for helping make communications better. The rising interest in bots, personal digital assistants -- Siri (Apple), Cortana (Microsoft), Alexa (Amazon), Monica (Cisco), Assistant (Google) -- sentiment analysis, and IBM Watson-based real-time advice and task handling all portend a future in which computer-facilitated communication is and will more pervasively become part of our daily lives and personal workflow routines. But what is AI, and does it really differ from other types of programming? I am delighted that Eric Krapf, GM of Enterprise Connect, has invited me to co-moderate a session on AI and its emerging importance in communications at Enterprise Connect 2017 in Orlando this March. In this Summit on the Lawn session, "Cognitive & Contextual -- Can AI Disrupt Enterprise Collaboration?," we will discuss this topic and its potential impact with those in the industry who are making this technology a reality.