Deepfakes are spreading fast, and while some have playful intentions, others can cause serious harm. We stepped inside this deceptive new world to see what experts are doing to catch this altered content. Chances are you've seen a deepfake; Donald Trump, Barack Obama, and Mark Zuckerberg have all been targets of the computer-generated replications. A deepfake is a video or an audio clip where deep learning models create versions of people saying and doing things that have never actually happened. A good deepfake can chip away at our ability to discern fact from fiction, testing whether seeing is really believing.

Introduced in 2014, GANs (Generative Adversarial Networks) was first presented by Ian Goodfellow and other researchers at the University of Montreal. It comprises of two deep networks, the generator which generates data instances, and the discriminator which evaluates the data for authenticity. GANs works not only as a form of generative model for unsupervised learning, but also has proved useful for semi-supervised learning, fully supervised learning, and reinforcement learning. In this article, we are in conversation with Greg Walters, one of the authors of the book'Hands-On Generative Adversarial Networks with PyTorch 1.x', where we discuss some of the real-world applications of GANs. According to Greg, facial recognition and age progression will one of the areas where GANs will shine in the future.

Artificial intelligence is all over the world, not least of all taking over agencies as a means of supplying actionable insights. Machine learning tools teach an AI what it should and shouldn't do, iteratively producing better results with each cycle. Today's machine learning ad tools can both create ads and then use insights generated from their creation to adapt their next attempt. Many businesses have already embraced the new technology of AI and machine learning to develop ads and check their efficacy. Below, 11 contributors to Forbes Agency Council look at the lesser-used ways businesses can leverage machine learning advertising tools for their benefit.

Today's fast-paced life has many challenges, which has led to the Millenials being called as the Burnout Generation. A report by the World Health Organisation (WHO) predicts that by 2020, 20% of the Indian population will suffer from mental illnesses. The report also says that by next year, depression will be the second-largest disease burden for the entire world. But now, artificial intelligence is making its presence felt in this sector. For example, researchers at IBM are using transcripts and audio inputs from psychiatric interviews, coupled with machine learning techniques to find patterns in speech.

Volkswagen Group and Qatar have agreed to develop a public transit system of autonomous shuttles and buses by 2022 for the capital city of Doha. The agreement signed Saturday by VW Group and the Qatar Investment Authority is an expansive project that will involve four brands under VW Group, including Volkswagen Commercial Vehicles, Scania, its shared ride service MOIA and Audi subsidiary Autonomous Intelligent Driving, or AID. The aim is to develop the entire transport system, including the electric autonomous shuttles and buses, legal framework, city infrastructure and ride-hailing software required to deploy a commercial service there. The autonomous vehicles will be integrated into existing public transit. "For our cities to progress we need a new wave of innovation," QIA CEO Mansoor Al Mahmoud said in a statement.

Cars are still all over the place. And we spend way too much time in traffic jams. For years we have been hearing that self-driving cars and buses are coming. But before that happens, those futuristic vehicles need to be tested in every possible way. In many cases this is done at Transpolis, Europe's largest testing ground for future mobility solutions.

Deep learning will radically change aspects of our medical care. How well do we need to understand how AI tools work? In clinics around the world, a type of artificial intelligence called deep learning is starting to supplement or replace humans in common tasks such as analyzing medical images. Already, at Massachusetts General Hospital in Boston, "every one of the 50,000 screening mammograms we do every year is processed through our deep learning model, and that information is provided to the radiologist," says Constance Lehman, chief of the hospital's breast imaging division. In deep learning, a subset of a type of artificial intelligence called machine learning, computer models essentially teach themselves to make predictions from large sets of data.

Digital culture is the key ingredient for digital transformations; it increases productivity and innovation in order to maintain a competitive edge, said Aisling Curtis. At Women in Tech Dublin 2019 she spoke about the future of work and the role that digital culture plays in digital transformations. Our own research showed that with a strong digital culture, up to three times more employees say they are productive with one in five employees experiencing high productivity. With a strong digital culture – 37% more employees feel highly empowered. For the first time in history we have up to five generations in the workforce, said Curtis.

JPMorgan Chase sees artificial intelligence (AI) as critical to its future success. And the mega-bank has a big advantage over many of its smaller rivals: the massive amount of data it gathers from sources such as the 50% of U.S. households with which it has some form of relationship and the $6 trillion worth of payment flows it handles daily. But until recently, identifying and pulling in relevant data to train AI models was taking up around 60% of the time of the bank's growing army of data scientists. That was an inefficient use of an expensive and relatively scarce resource. Now a new data platform the bank has developed, called OmniAI, is helping it to get relevant data into its models much faster.

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