Anyone can create, manage, share, and monetize professional-quality synthetic voices that are easily personalized into different genders, languages, dialects, accents, and more.
MARVEL.ai is a complete, end-to-end VaaS solution that allows companies and individuals to create, manage, share, and monetize professional-quality synthetic voice.
Supporting both text-to-speech and speech-to-speech, Marvel.ai allows you to easily create custom authentic-sounding voices of you, those in your organization, or of an approved celebrity. Additionally, you can choose professional voices from a broad and diverse marketplace of genders, languages, and tones for your creative and content projects. Read More
Monthly Archives: May 2021
The Role of Surrogate Models in the Development of Digital Twins of Dynamic Systems
Digital twin technology has significant promise, relevance and potential of widespread applicability in various industrial sectors such as aerospace, infrastructure and automotive. However, the adoption of this technology has been slower due to the lack of clarity for specific applications. A discrete damped dynamic system is used in this paper to explore the concept of a digital twin. As digital twins are also expected to exploit data and computational methods, there is a compelling case for the use of surrogate models in this context. Motivated by this synergy, we have explored the possibility of using surrogate models within the digital twin technology. In particular, the use of Gaussian process (GP) emulator within the digital twin technology is explored. GP has the inherent capability of addressing noisy and sparse data and hence, makes a compelling case to be used within the digital twin framework. Cases involving stiffness variation and mass variation are considered, individually and jointly along with different levels of noise and sparsity in data. Our numerical simulation results clearly demonstrate that surrogate models such as GP emulators have the potential to be an effective tool for the development of digital twins. Aspects related to data quality and sampling rate are analysed. Key concepts introduced in this paper are summarised and ideas for urgent future research needs are proposed. Read More
NFTs Explained in Two Pictures: The Good, The Bad … and The Ugly
- Non-Fungible Tokens (NFTs) are taking the art world by storm.
- A large number of serious problems outweigh any positives.
- Two infographics to explain the process and issues.
A national strategy for AI innovation
Brain implants let paralyzed man write on a screen using thoughts alone
Researchers combine neural implants with AI to develop a “mindwriting” system that converts imagined writing to text on a screen.
The system uses two implanted electrode arrays that record the brain activity produced by thinking about writing letters. This information is then collected and processed in real time by a computer, which converts that data into words on a screen. Read More
The Air Force’s AI Brain Just Flew for the First Time
The U.S. Air Force just took a major step toward a future crowded with AI-powered warplanes.
Late last month, the Air Force’s new Skyborg Autonomy Core System (ACS) flew a pilotless drone over Florida and the Gulf of Mexico, proving the AI could adhere to basic flight commands. The system will eventually lead to high-speed drones, powered by Skyborg, equipped with sensors, weapons, and other payloads to accomplish lonely—and dangerous—jobs that manned fighters used to carry out. Read More
Intel Researchers Give ‘GTA V’ Photorealistic Graphics, Similar Techniques Could Do the Same for VR
AutoML will not replace your data science profession
Many people who are already data scientists or new to the field of data science are looking at an answer to the question “Will AutoML (Automated Machine Learning) replace data scientists?” Asking a question like this is very reasonable because Automation has already been introduced to Machine Learning and it plays a key role in the modern world. In addition to that, people who want to become data scientists are thinking about ways to secure a spot in the job market for a long period of time.
AutoML will NOT replace your data science profession. It’s just here to make things easier for you, such as assisting you in boring repetitive tasks, saving your valuable time, assisting you in code maintenance and consistency, etc!
Let’s walk through the steps of a machine learning process to find out why. Read More
Embodying Pre-Trained Word EmbeddingsThrough Robot Actions
We propose a promising neural network model with which to acquire a grounded representation of robot actions and the linguistic descriptions thereof. Properly responding to various linguistic expressions, including polysemous words, is an important ability for robots that interact with people via linguistic dialogue.Previous studies have shown that robots can use words that are not included in the action-description paired datasets by using pre-trained word embeddings. However, the word embeddings trained under the distributional hypothesis are not grounded, as they are derived purely from a text corpus. In this letter, we trans-form the pre-trained word embeddings to embodied ones by using the robot’s sensory-motor experiences. We extend a bidirectional translation model for actions and descriptions by incorporating non-linear layers that retrofit the word embeddings. By training the retrofit layer and the bidirectional translation model alternately, our proposed model is able to transform the pre-trained word embeddings to adapt to a paired action-description dataset. Our results demonstrate that the embeddings of synonyms form a semantic cluster by reflecting the experiences (actions and environments) of a robot. These embeddings allow the robot to properly generate actions from unseen words that are not paired with actions in a dataset. Read More
Cyberspace Is Neither Just an Intelligence Contest, nor a Domain of Military Conflict; SolarWinds Shows Us Why It’s Both
Operations in cyberspace—at least those perpetrated by nation-state actors and their proxies—reflect the geopolitical calculations of the actors who carry them out. Strategic interactions between rivals in cyberspace have been argued by some, like Joshua Rovner or Jon Lindsay, to reflect an intelligence contest. Others, like Jason Healey and Robert Jervis, have suggested that cyberspace is largely a domain of warfare or conflict. The contours of this debate as applied to the SolarWinds campaign have been outlined recently—Melissa Griffith shows how cyberspace is sometimes an intelligence contest, and other times a domain of conflict, depending on the strategic approaches and priorities of particular actors at a given moment in time.
Therefore, rather than focusing on the binary issue of whether a warfare versus intelligence framework is more applicable to cyberspace, the fact that activity in cyberspace takes on both of these characteristics at different times raises interesting questions about how these dimensions relate to one another at the operational level. Read More
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