Scientists have discovered two species of wasps which grow up to four inches (10cm) long and lay their eggs inside other insects. The wasps were found in the jungle in Uganda's Kibale National Park and are among some of the only ones of their type ever discovered. Named Epirhyssa quagga and Epirhyssa johanna, the creatures are part of the rhyssine family, which cannot sting and are harmless to humans. But they are less harmless in their own habitat – their larvae develop inside the offspring of beetles and other wasps and eat them from the inside out. Discoveries of these disconcertingly large wasps are generally rare, but scientists this time found large numbers of both males and females of new types in the forest.

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This class provides a practical introduction to deep learning, including theoretical motivations and how to implement it in practice. As part of the course we will cover multilayer perceptrons, backpropagation, automatic differentiation, and stochastic gradient descent. Moreover, we introduce convolutional networks for image processing, starting from the simple LeNet to more recent architectures such as ResNet for highly accurate models. Secondly, we discuss sequence models and recurrent networks, such as LSTMs, GRU, and the attention mechanism. Throughout the course we emphasize efficient implementation, optimization and scalability, e.g. to multiple GPUs and to multiple machines. The goal of the course is to provide both a good understanding and good ability to build modern nonparametric estimators.

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A self-driving car approaches a stop sign, but instead of slowing down, it accelerates into the busy intersection. An accident report later reveals that four small rectangles had been stuck to the face of the sign. These fooled the car's onboard artificial intelligence (AI) into misreading the word'stop' as'speed limit 45'. Such an event hasn't actually happened, but the potential for sabotaging AI is very real. Researchers have already demonstrated how to fool an AI system into misreading a stop sign, by carefully positioning stickers on it1. They have deceived facial-recognition systems by sticking a printed pattern on glasses or hats. And they have tricked speech-recognition systems into hearing phantom phrases by inserting patterns of white noise in the audio.

The European Commission for the Efficiency of Justice (CEPEJ) of the Council of Europe has adopted the first European text setting out ethical principles relating to the use of artificial intelligence (AI) in judicial systems. The Charter provides a framework of principles that can guide policy makers, legislators and justice professionals when they grapple with the rapid development of AI in national judicial processes. The CEPEJ's view as set out in the Charter is that the application of AI in the field of justice can contribute to improve the efficiency and quality and must be implemented in a responsible manner which complies with the fundamental rights guaranteed in particular in the European Convention on Human Rights (ECHR) and the Council of Europe Convention on the Protection of Personal Data. For the CEPEJ, it is essential to ensure that AI remains a tool in the service of the general interest and that its use respects individual rights. Principle "under user control": precluding a prescriptive approach and ensuring that users are informed actors and in control of their choices.

Welcome to our monthly curation of emerging technology news tidbits and trends that help inform the research we do for our Avanade Trendlines program. Let's discuss any thoughts you have in the comments. Technology: An AI formula for fragrance Yes, AI is everywhere, including fragrance creation. One of the benefits is the ability for it to quickly generate lots of alternative ingredients or formulas. Mariya Nurislamova, Scentbird CEO, noted that when the company incubated its new Confession of a Rebel fragrance, it did so by using over a million data points from its 300,000 Scentbird subscribers.

Imagine you're taking an online business class -- the kind where you watch video lectures and then answer questions at the end. But this isn't a normal class, and you're not just watching the lectures: They're watching you back. Every time the facial recognition system decides that you look bored, distracted, or tuned out, it makes a note. And after each lecture, it only asks you about content from those moments. This isn't a hypothetical system; it's a real one deployed by a company called Nestor.

It is just over a week until this years Maker Faire even in Rome and this is the largest even of its kind in Europe. The fair will start on Friday, open to school groups only in the morning then fully opening at 2 pm. This year there will be seven themed pavilions for an exhibition surface area of over 100,000 square metres. The subdivision of the pavilions proposed by the curators invites visitors to become active participants, already starting from their names: Re-think, Learn, Create, Discover, Make, Research. During the Call for Makers over a thousand projects from over 40 countries were submitted with 600 being chosen for exhibition at the fair.