Episode two of Blue Planet II could be one of Sir David Attenborough's scariest shows yet - giving us a glimpse of life in total darkness that we are only just starting to explore. The episode also looks at peculiar gardens that are thriving in the pitch black as well as species of coral that have never been seen in shallower waters. The fangtooth (pictured) has the largest teeth relative to body size for any fish in the entire ocean. The filming of Blue Planet involved around 1,000 people from producers to deep sea divers, researchers to scientists, camera crews to helicopter pilots and drone operators. Some 125 expeditions were undertaken across every ocean, with 1,500 days spent at sea and 6,000 hours underwater.

In a global market that makes room for more competitors by the day, some companies are turning to AI and machine learning to try to gain an edge. Supply chain and inventory management is a domain that has missed some of the media limelight, but one where industry leaders have been hard at work developing new AI and machine learning technologies over the past decade. Many well-known companies are now use machine learning to optimize business processes in ways that might have been deemed science fiction 30 years ago, from customer service inquiries to planning for next month's shelf supply based on satellite data. Supply chain and inventory management is primed to embody the concept of smart automation over the next five to 10 years. We've highlighted three applications of inventory management with machine learning technology, providing a tip-of-the-iceberg view of what's possible.

I want to tell you straight off what this story is about: Sometime in the next 40 years, robots are going to take your job. I don't care what your job is. If you dig ditches, a robot will dig them better. If you're a magazine writer, a robot will write your articles better. If you're a doctor, IBM's Watson will no longer "assist" you in finding the right diagnosis from its database of millions of case studies and journal articles. It will just be a better doctor than you. Robots will run companies better than you do. Robots will paint and write and sculpt better than you. Think you have social skills that no robot can match? Within 20 years, maybe half of you will be out of jobs. A couple of decades after that, most of the rest of you will be out of jobs. In one sense, this all sounds great. Let the robots have the damn jobs! We'll be free to read or write poetry or play video games or whatever we want to do.

I chose the Bay Area housing price dataset that was sourced from Bay Area Home Sales Database and Zillow. This dataset was based on the homes sold between January 2013 and December 2015. It has many characteristics of learning. The dataset can be downloaded from here. There are several features that we do not need, such as "info", "z_address", "zipcode"(We have "neighborhood" as a location variable), "zipid" and "zestimate"(This is the price estimated by Zillow, we don't want our model to be affected by this).

Artificial intelligence software can beat the world's most widely used test of a machine's ability to act human, Google's reCAPTCHA, by copying how human vision works, a new study finds. These new findings suggest the need for more robust automated human-checking techniques, and could help improve computer perception for robotics tasks, scientists add. The founder of modern computing, Alan Turing, conceived of the Turing test, the most famous version of which asks if one could devise a machine capable of mimicking a human well enough in a conversation over text to be indistinguishable from human. In doing so, Turing helped give rise to the field of artificial intelligence. The most commonly used Turing test is the CAPTCHA, an acronym for "Completely Automated Public Turing test to tell Computers and Humans Apart."

Join IBM November 1 at 21st Cloud Expo at the Santa Clara Convention Center in Santa Clara, CA, and learn how IBM Watson can bring cognitive services and AI to intelligent, unmanned systems. In this session we will build a chatbot powered by IBM Watson, connect it to third-party APIs, and share best practices of chatbots co-existing with humans. Cognitive analysis impacts today's systems with unparalleled ability that were previously available only to manned, back-end operations. Thanks to cloud processing, IBM Watson can bring cognitive services and AI to intelligent, unmanned systems. Imagine a robot vacuum that becomes your personal assistant that knows everything and can respond to your emotions and verbal commands!

Is there a global theory for the shapes of fish? But for most of the history of biology, it's not the kind of thing anyone would ever have asked. Stephen Wolfram is the creator of Mathematica, Wolfram Alpha and the Wolfram Language; the author of A New Kind of Science; and the founder and CEO of Wolfram Research. Sign up to get Backchannel's weekly newsletter, and follow us on Facebook, Twitter, and Instagram. And it's now 100 years since D'Arcy Thompson published the first edition of his magnum opus On Growth and Form--and tried to use ideas from mathematics and physics to discuss global questions of biological growth and form. Stretch one kind of fish, and it looks like another. Yes, without constraints on how you stretch. It's not quite clear what this is telling one, and I don't think it's much. But just to ask the question is interesting, and On Growth and Form is full of interesting questions--together with all manner of curious and interesting answers. D'Arcy Thompson was in many ways a quintessential British Victorian academic, steeped in the classics, and writing books with titles like A Glossary of Greek Fishes (i.e. But he was also a diligent natural scientist, and he became a serious enthusiast of mathematics and physics. And where Aristotle (whom Thompson had translated) used plain language, with perhaps a dash of logic, to try to describe the natural world, Thompson tried to use the language of mathematics and physics.

Computer vision experts from around the world will gather in Venice this week at the International Conference on Computer Vision (ICCV) to present the latest advances in computer vision and related areas. Research from Facebook will be presented in 15 peer-reviewed publications and posters. Facebook Researchers will also be leading and presenting numerous workshops and tutorials. Here is a complete list of Facebook research being presented at ICCV, organized by research topic. This paper develops a new system that, for each pixel in a photo, can predict to what object it corresponds as well as which object it corresponds to.

The National Weather Service has released its first winter weather predictions for the approaching season in the United States. But if the wildcard La Niña develops, it might shake some things up. The chances that it will develop are strong too, observations as well as computer models suggest that La Niña is likely to develop. If it does develop, Mike Halpert, the deputy director of the Climate prediction Center at the National Oceanic and Atmospheric Administration predicts that it will be "weak and potentially short-lived." Colder than normal conditions in the Pacific Ocean near the equator is what is commonly referred to as La Niña.

From Fukushima in Japan to Sellafield in the UK, the world is home to a number of sites that are contaminated with radioactive waste and require clean-up. The current techniques available to do this are expensive and time consuming – but a new'super hero' robot could help to cut both costs and time. The robot, called Avexis, is designed to fit through a 100mm access port in the flooded reactors at the Fukushima site, to locate and analyse melted fuel. Many areas around Fukushima are still being decontaminated, 58,000 people are still displaced from their homes and the local food industries have been crippled. Its designers hope that the robot will be ready to deploy at the Fukushima Daiichi Nuclear power plant by February 2018.