The previous year has shown us that you have to be prepared for both expected and unexpected disruption, emerging risks, and economic uncertainties. Your business models and operations, employees and technology have to be agile and resilient. New business risks are everywhere. What challenges can organizations expect in the emerging and evolving risk landscape, and how can they overcome them? Ronald van Loon is a Protiviti partner, and recently had the opportunity to examine their study, conducted jointly with North Carolina State University Poole College of Management's Enterprise Risk Management (ERM) Initiative, on Executive Perspectives on Top Risks:2021 and 2030 and share his outlook regarding the shifting risk landscape and its impact on modern organizations.
Iedereen weet toch dat we parasieten zijn op een hele grote ui?';) New research indicates the whole universe could be a giant neural network TNW (...) If we're all nodes in a neural network, what's the network's purpose? Is the universe one giant, closed network or is it a single layer in a grander network? Or perhaps we're just one of trillions of other universes connected to the same network. When we train our neural networks we run thousands or millions of cycles until the AI is properly "trained." Are we just one of an innumerable number of training cycles for some larger-than-universal machine's greater purpose?
In a comprehensive research note detailing the iPhone lineup's roadmap, Taiwan-based analyst Ming-Chi Kuo shared some interesting pieces of information about the company's plans for the Foldable iPhone, including its potential release date and some of its specs. As reported by 9to5mac, Kuo predicts that Apple could launch the Foldable iPhone by 2023 if it could solve several issues. This includes " the foldable mobile device's key technology," as well as the mass production challenges this year. Kuo's prediction on the launch of the much-awaited iPhone with a new form factor hinges on those issues and on the progress the Cupertino tech giant could make this year. The analyst does not reveal much about the Foldable iPhone's specs aside from its size, which could be between 7.5 and 8-inches.
Your visual cortex does two incredible things, thousands of times a second. First, it takes all the information streaming in through your retinas and passes it through a series of steps – looking first for patches of dark and light, then for features such as lines and edges, then for simple recognisable shapes like this letter'A', working up to household objects like a toaster or kettle, or individual faces, like your grandmother, or the person who you used to see every day at the bus stop on the way to work. The second incredible thing it does is to completely forget that it's done any of that at all. The inner workings of our minds are not accessible to us – and that is one of the things that will always separate us from artificially intelligent machines like the ones depicted in Klara and the Sun, the new novel from British author Kazuo Ishiguro. The book is set in a near-future where robotic humanoids called'Artificial Friends' or'AFs' are the purchase of choice for wealthy teenagers, who – for unspecified reasons – are taught remotely, and rarely get the opportunity to interact with their peers face to face.
Abstract: We introduce the GANsformer, a novel and efficient type of transformer, and explore it for the task of visual generative modeling. The network employs a bipartite structure that enables long-range interactions across the image, while maintaining computation of linearly efficiency, that can readily scale to high-resolution synthesis. It iteratively propagates information from a set of latent variables to the evolving visual features and vice versa, to support the refinement of each in light of the other and encourage the emergence of compositional representations of objects and scenes. In contrast to the classic transformer architecture, it utilizes multiplicative integration that allows flexible region-based modulation, and can thus be seen as a generalization of the successful StyleGAN network. We demonstrate the model's strength and robustness through a careful evaluation over a range of datasets, from simulated multi-object environments to rich real-world indoor and outdoor scenes, showing it achieves state-of-the-art results in terms of image quality and diversity, while enjoying fast learning and better data-efficiency.
Artificial intelligence is turning old pictures of people into short, animated clips that show them moving and blinking. The feature, called Deep Nostalgia, comes from genealogy company MyHeritage. It uses machine learning to create facial expressions and movements that look super realistic, Tom's Guide reported Tuesday. In a blog post, MyHeritage shared social media posts from users who were thrilled to see their loved ones who'd passed come to life, if only for a few moments. The clips show the people in black-and-white or faded photos tilting their heads and looking around.
In just two decades, China sent people into space, built its own aircraft carrier and developed a stealth fighter jet. Now the world's youngest superpower is setting out to prove its capabilities once more -- this time in semiconductors. At stake is nothing less than the future of the world's No. 2 economy. Beijing's blueprint for chip supremacy is enshrined in a five-year economic vision, set to be unveiled during a summit of top leaders in the capital this week. It's a multi-layered strategy both pragmatic and ambitious in scope, embracing aspirations to replace pivotal U.S. suppliers -- and fend off Washington -- while molding homegrown champions in emergent technologies.
Hi, I'm working in a museum, currently trying to optically characterize a big historic lens. Unfortunately, it is mounted in a device which can't really be taken apart (issues of conservation), so conventional methods are rather hard to do. I've been loosely following the advances in neural network based approaches ("Two minute papers" kinda stuff) and was wondering if anyone has already realized a solution to my problem using machine learning or similar techniques. That is: Print out a defined optical pattern (like a QR code), "wave" it on one side of the lens and record the image with a camera on the other to get a 3D model of the lens in the end. In my head, it should be possible to train a network using conventional light simulation of randomly generated glass bodies.
As we enter the new year, several promising technologies are poised to lead the way by improving how businesses and consumers use and experience the digital world. Here are some of the most important technologies and the practical solutions they will provide in the year ahead. The fifth generation of the mobile internet is going to bring the kind of speed most people associate with Wi-Fi to uploading and downloading data from remote locations. This will lead to sharp improvements in the way applications can be written, deployed and interacted with by mobile users. This also includes the development of data-intensive applications and the Internet of Things (IOT) -- physical objects with sensors that connect to and share data with the internet, autonomous vehicles and similar projects.
Sentiance is awarded as the Best Mobile User Insight Platform & Innovation in Data Privacy and Security 2020 by Wealth & Finance International. The Artificial Intelligence Awards by Wealth & Finance International have been launched to acknowledge exemplary performance and innovation to companies within this rapidly evolving AI market. Sentiance uses data science and machine learning to turn smartphone sensor data into customers' rich behavioral insights. These insights benefit our clients across insurance, mobility and commerce industries to create innovative and personalized offerings. So what kind of user insights can Sentiance provide?