Taban Deng Gai, who is now first vice president of South Sudan, speaks to reporters in Ethiopia's capital Addis Ababa on Jan. 8, 2014. In an interview airing on Monday's PBS NewsHour, South Sudan Vice President Taban Deng Gai responded to a report that the country's top leaders were profiting off the five-year conflict by saying it's under investigation, but the report might be false. Human rights group The Sentry this month released the results of a two-year investigation that found South Sudanese politicians were spending international aid on mansions and fancy cars, and giving expensive contracts to family members. "They say that my president, for example, they accuse him of having a house in one of the suburbs of Nairobi city. I don't think a crime for a president -- a sitting president for more than 10 years" to have a house there, Deng told PBS NewsHour Weekend anchor Hari Sreenivasan.

Accessing data for investment decisions on environmental, social and governance (ESG) factors can be challenging. Will artificial intelligence (AI) come to the rescue? Responsible investing covers a multitude of issues and risks -- from regulatory, social and cultural issues through to product liabilities, political risk and intellectual property matters to name just a few. Register now -- ESG webinar 28 Sep 2016: Can FinTech and AI solve the ESG data puzzle? The data generated are often unstructured but still need to be processed in real-time to be effective.

Intelligence is shaped by the survival requirements that an animal must face during its everyday life, according to cognitive ecology. Some birds can remember where they buried tens of thousands of nuts and seeds, which allows them to find them during the long winter months; a burrowing rodent can learn a complex underground maze with hundreds of tunnels in just two days; and a crocodile can have the presence of mind to carry sticks on her head and float them just below an area where herons are nesting, then pounce when an unwary bird swoops down to collect nesting material. Notwithstanding the liberties taken by filmmakers in popular movies like The Little Mermaid, Finding Nemo, and its sequel, Finding Dory, can fishes really think? When the tide goes out, frillfins like to stay near shore, nestled in warm, isolated tide pools where they may find lots of tasty tidbits. But tide pools are not always safe havens from danger. Predators such as octopuses or herons may come foraging, and it pays to make a hasty exit. But where is a little fish to go? Frillfin gobies deploy an improbable maneuver: They leap to a neighboring pool. How do they do it without ending up on the rocks, doomed to die in the sun? With prominent eyes, slightly puffy cheeks looking down on a pouting mouth, a rounded tail, and tan-gray-brown blotchy markings along a 3-inch, torpedo-shaped body, the frillfin goby hardly looks like a candidate for the Animal Einstein Olympics.

Computer vision is by no means a new idea, there were automatic number plate recognition systems as early as the 1960s but deep learning is one of the key technologies that have expanded its potential. Early computer vision systems were algorithm-based, removing the color and texture of a viewed object in favor of identifying basic shapes and edges, and narrowing down what they might represent. This stripped back the amount of data that had to be dealt with and enabled the processing power to be concentrated on the essentials. Deep learning flipped this process on its head, instead of algorithmically working out that a triangle of certain dimensions was statistically probable to be a road sign, why didn't we look at a whole heap of road signs and learn to recognize them? Using deep learning techniques, the computer can look at hundreds and thousands of pictures, e.g., an electric guitar and start to learn what an electric guitar looks like in different configurations, contexts, levels of daylight, backgrounds and environments.

Modern humans first left Africa 100,000 years ago in a series of slow-paced migration waves and arrived in southern Europe around 80,000-90,000 years ago, far earlier than previously believed, according to a new study. The research suggests that humans spread out across the globe in four migration events driven by climate change, connected to variations in the Earth's orbit. The results challenge traditional models that suggest there was a single exodus out of Africa around 60,000 years ago. Chris Stringer, Research Leader in Human Origins at the Natural History Museum London told MailOnline the research is'the most comprehensive climate, vegetation and human-dispersal modelling study published so far'. 'While the earliest [migration] wave had only limited further penetration across the rest of Eurasia, they [the researchers] argue that modern humans could have arrived in small numbers in China and southern Europe by about 80,000 years,' he explained.

Jason Jercinovic, global head of marketing innovation at Havas, discusses Artificial Intelligence and how brands can benefit from the technology.

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Looking around at the natural world, have you ever wondered why some groups of organisms contain huge numbers of species while others are seemingly barren? Take insects as an example, animals which evolved around 480 million years ago. There are perhaps 6 million species living in all manner of environments, and occupying an incredible diversity of niches. Have you ever wondered why some groups of organisms contain huge numbers of species while others are seemingly barren? Plants have had a species production rate more than twice that of animals, while complex organisms (multicellular eukaryotes) have produced new species at a rate almost 10 times that of simpler one (protists and prokaryotes). Sex seems to have been a major catalyst for increasing the rate at which new species formed, perhaps explaining its success as an evolutionary strategy.

Some are calling drone racing the sport of the future with the drones, or quads, as the racers call them, flying around obstacle courses at up to 160km/h (100mph). Christian Parkinson has been to meet two of the South African racers taking part in next month's drone world championships to find out what the sport is all about and what skills you need to get to the top.