In many tasks, in particular in natural science, the goal is to determine hidden system parameters from a set of measurements. Often, the forward process from parameter- to measurement-space is a well-defined function, whereas the inverse problem is ambiguous: one measurement may map to multiple different sets of parameters. In this setting, the posterior parameter distribution, conditioned on an input measurement, has to be determined. We argue that a particular class of neural networks is well suited for this task -- so-called Invertible Neural Networks (INNs). Although INNs are not new, they have, so far, received little attention in literature. While classical neural networks attempt to solve the ambiguous inverse problem directly, INNs are able to learn it jointly with the well-defined forward process, using additional latent output variables to capture the information otherwise lost. Given a specific measurement and sampled latent variables, the inverse pass of the INN provides a full distribution over parameter space. We verify experimentally, on artificial data and real-world problems from astrophysics and medicine, that INNs are a powerful analysis tool to find multi-modalities in parameter space, to uncover parameter correlations, and to identify unrecoverable parameters.

When Pearse Keane started using optical coherence tomography (OCT) scanners to peer to the back of a person's eye in Los Angeles a decade ago, the machines were relatively crude. "The devices were lower resolution, they had much slower image acquisition speeds," says Keane, a consultant ophthalmic surgeon at Moorfields Eye Hospital and researcher at University College, London. From 2007, Keane spent two years studying scans from OCT machines learning to diagnose eye conditions in patients and pick out the minute details which make up sight-threatening diseases. "It was very time consuming, laborious work," Keane says. OCT scans use light to quickly create high resolution, 3D images of the back of the eye.

Spurred on, no doubt, by the current spate of books and articles about AIED (artificial intelligence in education), the IATEFL Learning Technologies SIG is organising an online event on the topic in November of this year. Currently, the most visible online references to AI in language learning are related to Glossika, basically a language learning system that uses spaced repetition, whose marketing department has realised that references to AI might help sell the product. They're not alone – see, for example, Knowble which I reviewed earlier this year . In the wider world of education, where AI has made greater inroads than in language teaching, every day brings more stuff: How artificial intelligence is changing teaching, 32 Ways AI is Improving Education, How artificial intelligence could help teachers do a better job, etc., etc. Common to all these publications is the claim that AI will radically change education. When it comes to language teaching, a similar claim has been made by Donald Clark (described by Anthony Seldon as an education guru but perhaps best-known to many in ELT for his demolition of Sugata Mitra).

Hello everyone, this is another great moment to write about a project that is full of life transforming benefits, it is Trade Pharma Network. This project has a promising future, therefore, I want everyone to seat back and read this article so as to have better understanding about the project. Trade Pharma Network is a licensed broker platform from the European Union and an international-centric choice market for buyers and sellers who engage in routine drug transactions. Our Artificial Intelligence (AI) platform employs powerful AI algorithms to enable efficient searching and digital matchmaking between our key stakeholders, but also Blockchain, we envision a future where every physical medicine has a digital history, allowing our users to track and verify its origin. Pharma Netwok also aims to fight efficiently against counterfeit drugs, in Europe end Worldwide.

If a little humanoid robot begged you not to shut it off, would you show compassion? In an experiment designed to investigate how people treat robots when they act like humans, many participants struggled to power down a pleading robot, either refusing to shut it off or taking more than twice the amount of time to pull the plug. The experiment was conducted by researchers in Germany whose findings were published in the scientific journal PLOS One, the Verge reported this month. Eighty-nine volunteers were asked to help improve a robot's interactions by completing two tasks with it: creating a weekly schedule and answering such questions as "Do you rather like pizza or pasta?" The tasks with the robot, named Nao, were actually part of a ploy, however.

SEOUL: Samsung Electronics plans to spend $22 billion over the next three years on artificial intelligence, auto components and other future businesses as the company maps out its strategy under the restored leadership of Vice Chairman Lee Jae-yong after he was freed from prison. The announcement Wednesday by South Korea's biggest business group was welcome news, coming at a time of deepening unease over slowing growth in Asia's fourth largest economy. It also highlights that South Korea's decades-old reliance on big businesses for jobs and investments is unlikely to end anytime soon since the country lacks a strong pool of small and medium-sized companies found in Japan or Germany. Samsung said it will spend the sum, amounting to 25 trillion won, on hiring artificial intelligence researchers, ensuring it will be a global player in next generation telecoms technology called 5G and deepening its involvement in electronic components for future cars. Some of the funding will go to Samsung's biopharmaceutical businesses.

Transportation has always been one of the most complicated problems that City Councils have to deal with. Until the rise of digital technologies, there have been two different approaches to traffic issues: building more and bigger highways (a good example is Los Angeles) or putting the focus on public transport, like most European cities. Both approaches are apparently very different but they share the same basis: investment in huge, expensive infrastructures. Smart cities -digital cities- approach traffic issues from a new, smarter perspective from the believe that we need neither more subways nor wider highways. New technologies based on Big Data, IoT, artificial intelligence and machine learning allow us to put new solutions on the table .

Step by step, condition by condition, AI systems are slowly learning to diagnose disease as well as any human doctor, and they could soon be working in a hospital near you. The latest example is from London, where researchers from Google's DeepMind subsidiary, UCL, and Moorfields Eye Hospital have used deep learning to create software that identifies dozens of common eye diseases from 3D scans and then recommends the patient for treatment. The work is the result of a multiyear collaboration between the three institutions. And while the software is not ready for clinical use, it could be deployed in hospitals in a matter of years. Those involved in the research described is as "ground-breaking."

A look at how Yemen's brutal civil war is creating a market for prosthetic limbs. Each is missing a vital part of their body – a hand, a leg, an arm. Inside that building is new hope for each: Prosthetic limbs are being cut, carved, melted and molded. Young patient recently outfitted with a new leg waits for his training session outside the Ma'rib prosthetics center in Yemen (Fox News/Hollie McKay) "Sometimes I go to my office to cry for each of these miserable stories," Dr. Haitham Ahmed Ali Ahmed, a Sudanese volunteer with Physicians Across Continents, told Fox News. "It isn't fair, but we do whatever we can to give them another chance."

Lonelyhearts are paying an agency to stalk their first dates online to avoid the embarrassment of being'catfished'. The paid catfish hunters trawl publicly-available posts on social networks, including Twitter, Instagram, Facebook, and personal websites and blogs. This is used to verify whether the person on the other end of the dating app is exactly who they say they are. Dubbed Vet Your Date, the agency charges online daters a flat fee of £20 to obtain a full report of the person they're hoping to meet for an romantic date, however, a monthly subscription service is due to launch in the near future. 'Catfishing' originated as a term for the process of luring people into false relationships that has become increasingly prevalent with the rise of social media.