I explain Artificial Intelligence terms and news to non-experts. Panoptic scene graph generation, or PSG, is a new problem task aiming to generate a more comprehensive graph representation of an image or scene based on panoptic segmentation rather than bounding boxes. It can be used to understand images and generate sentences describing what's happening. This may be the most challenging task for an AI! Learn more in the video... Read the full article: https://www.louisbouchard.ai/psg/

How do I start a career as a deep learning engineer? What are some of the key tools and frameworks used in AI? How do I learn more about ethics in AI? Everyone has questions, but the most common questions in AI always return to this: how do I get involved? Cutting through the hype to share fundamental principles for building a career in AI, a group of AI professionals gathered at NVIDIA's GTC conference in the spring offered what may be the best place to start. Each panelist, in a conversation with NVIDIA's Louis Stewart, head of strategic initiatives for the developer ecosystem, came to the industry from very different places. But the speakers -- Katie Kallot, NVIDIA's former head of global developer relations and emerging areas; David Ajoku, founder of startup aware.ai;

Men and women are more physically attracted to the faces of people who have higher functioning immune systems that might protect them from diseases over their lifetimes. "There's nothing inherently special or beautiful about a face that we find attractive, so the theoretical rationale is that there must be something over the thousands of years of evolution that has been consistently rewarded in our mate choice, and that we find these specific traits attractive," says Summer Mengelkoch at Texas Christian University in Fort Worth. Scientists had already determined that people are more attracted to the body odours of people of the opposite sex who have better health. However, studies that didn't involve the detection of any bodily chemicals like smells have shown inconsistent links between attractiveness and health or immune function. To investigate further, Mengelkoch and her colleagues asked 159 men and women, averaging 20 years old, to pose for professional headshots in which they had neutral facial expressions and wore no make-up or jewellery.

Justin Krook, director of the documentary Machine, set out to make a film that examines the pros and cons of the development development of artificial intelligence. Reports of humanity's demise are greatly exaggerated (despite what you might have heard about Boston Dynamics developing the first robot dog of the apocalypse). Nonetheless,Terminator 2: Judgement Day is a ways off yet, but that's no reason to become complacent, says Krook, who warns that we're destined for a series of calamities of our own making, if we don't consider the ethics behind the application of this new technology. Krook spent a year talking to experts in the field of AI and machine learning, who have first-hand experience of developing, analysing and managing this new technology. It's a lot to take in: everything from AI companions to the quandaries of driverless cars, autonomous warfare (!), and the use of AI to create human super-intelligence. On the eve of the film's premiere on SBS VICELAND and On Demand, I spoke to Krook via video. "The first thing that comes out of people's mouths when I say, 'I made a documentary on AI', is, 'Are we screwed?'"

Police Scotland has unveiled a new aerial drone system to help in searches for missing and vulnerable people. The remotely-piloted aircraft system (RPAS) can see things we can't to try to work out where people are. It uses advanced cameras and neural computer networks to spot someone it is looking for - from "a speck" up to 150 metres away. Its recognition software is compact enough to be run on a phone, with the technology learning as it goes. "The drone itself has very special sensors on it," said Insp Nicholas Whyte, of Police Scotland's air support unit.

As the technology sector becomes flooded with big data, it is up to every company to figure out what to do with all the important business information flowing into their servers. Your company could use a team of good artificial intelligence engineers, and we have the qualities you'll want to look for in engineers so you can hire the best ones in the business. It is one thing to solve a problem and another thing to understand the problem in such a way that it is observed and analyzed to discover the best solution. Great artificial intelligence engineers will sit and analyze a problem efficiently and completely, so when you look for talented engineers, be sure to find ones who can dissect a problem and put together the best possible solution to it. A process hardly ever goes forward according to a preconceived plan, so engineers who design a process with risk analysis in mind are ahead of the game.

Finding someone in a surveillance video could soon be as easy as Googling them. Descriptions of people of interest, such as a suspect or a missing person, are normally given in terms of their height, gender or clothing. But using this information to find a short woman wearing a red jacket in a video, say, often requires scanning hours of footage manually, which is no easy task. But a new search tool can do it automatically.

When I was waking up at 6 AM to study Support Vector Machines I thought: "This is really tough! But, hey, at least I will become very valuable for my future employer!". If I could get the DeLorean, I would go back in time and call "Bulls**t!" on myself. The truth is that reality is much more nuanced, and the fact the field is still far away from being mature isn't helping at all. The classical story goes something like this: "data scientists spend 80% of their time getting, cleaning and managing data, only the rest is spent on analysis and machine learning".