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"The construction of computer programs that simulate aspects of social behaviour can contribute to the understanding of social processes."
– Nigel Gilbert. Computational Social Science: Agent-based social simulationCentre for Research on Social Simulation, University of Surrey. Guildford, UK. 6 November 2005; revised and updated 20 May 2007.
Some of the world's biggest companies are going all-in on the metaverse. One you may not know about is Ansys, a US public company that makes engineering simulation software and has been around since 1970. Dr. Prith Banerjee is its Chief Technology Officer, and I spoke to him last week about his vision for the metaverse -- and specifically, why he thinks the metaverse can't reach its full potential without "optimum physics-based modeling and simulation." Ansys, it turns out, already has a number of partnerships with companies building the metaverse -- including global telecoms companies, microchip and GPU manufacturers, data center and storage companies, and "all the cloud providers," according to Banerjee. He said that Ansys provides a mix of hardware and software expertise to these customers; everything from building hardware to designing a structural electromagnetics system.
Nvidia has introduced a new platform for building virtual beings to interact with in the digital realms of the metaverse, which Nvidia refers to as its Omniverse. The Nvidia Omniverse Avatar Cloud Engine (ACE) provides a collection of AI models and related tools for users to design the AI creations that will populate their virtual worlds, including synthetic voices and visual media. The cloud-based ACE catalog streamlines building virtual beings and applies Nvidia's computing power to setting up and embedding the AI avatars in digital worlds. The resulting synthetic being can converse in multiple languages, offering recommendations based on the conversation and even process its digital environment enough to interact with objects around it. The system used Nvidia's Unified Compute Framework of software products, including the Riva speech AI technology and the NeMo Megatron natural language understanding using large language models.
The "metaverse" will be built based on realistic virtual persons, and this foundation will facilitate distant presence, cooperation, education, and entertainment. To make this possible, new 3D virtual human creation tools must be developed that are easy to use and can be easily animated. Traditionally, this has required a lot of time and money spent by the AI artist. Because of this, these methods are not scalable. Allowing people to build their own avatars from one or more photographs is a more realistic solution.
Together, Altair and LG will promote research and development and the construction of a simulation platform. The two companies will share information in priority fields of research, including computer-aided engineering (CAE), data analytics, automation, and more. In addition, the two companies plan to build a more advanced digital transformation development environment by integrating LG's product development technology with Altair's simulation and AI technology. Together, the companies will cooperate on CAE/automation platform development and digital twin technology, which LG uses to develop products. "Altair has the advanced simulation, high-performance computing, and data analytics technology to support manufacturing companies as they develop products quickly and efficiently," said Sam Mahalingam, chief technology officer, Altair.
In this paper, we design, analyze the convergence properties and address the implementation aspects of AFAFed. This is a novel Asynchronous Fair Adaptive Federated learning framework for stream-oriented IoT application environments, which are featured by time-varying operating conditions, heterogeneous resource-limited devices (i.e., coworkers), non-i.i.d. local training data and unreliable communication links. The key new of AFAFed is the synergic co-design of: (i) two sets of adaptively tuned tolerance thresholds and fairness coefficients at the coworkers and central server, respectively; and, (ii) a distributed adaptive mechanism, which allows each coworker to adaptively tune own communication rate. The convergence properties of AFAFed under (possibly) non-convex loss functions is guaranteed by a set of new analytical bounds, which formally unveil the impact on the resulting AFAFed convergence rate of a number of Federated Learning (FL) parameters, like, first and second moments of the per-coworker number of consecutive model updates, data skewness, communication packet-loss probability, and maximum/minimum values of the (adaptively tuned) mixing coefficient used for model aggregation.
Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. The field requires broad training involving principles of computer science, cognitive psychology, and engineering. If you want to grow your data scientist career and capitalize on the demand for the role, you might consider getting a graduate degree in AI. U.S. News & World Report ranks the best AI graduate programs at computer science schools based on surveys sent to academic officials in fall 2021 and early 2022. Here are the top 10 programs that made the list as having the best AI graduate programs in the US.
Krafton said it will leverage hyperrealism character production technology to create digital avatars of humans and also tap into artificial intelligence (AI), text-to-speech, speech-to-text, and voice-to-face to improve their communication skills. The virtual humans will also exhibit motion-captured vivid movements, pupil movements, a wide range of facial expressions, and hairs on the skin. Last month, at a town hall, Krafton CEO CH Kim had said the company will actively leverage new technologies to offer unique experiences to gamers and creators. "We are geared up for realising an interactive virtual world (Metaverse) in stages and will continue to introduce more advanced versions of virtual humans and content based on the belief in the infinite scalability of such technologies," Shin Seok-jin, creative director at Krafton said in a statement. Hyperrealism is an old art concept that has inspired artists to create sculptures and paintings that give the illusion of being real. In the present day, it has struck a chord with game developers and animators who now have access to the tools to make digital characters look like real people.
It is the nature of our cognitive systems that we alternate between heuristics and deliberative reasoning. Heuristics are reasoning'shortcuts' based on patterns that help speed up decision making in familiar circumstances. Deliberation takes more attention and energy, but it can go beyond immediately available information and enables complex computations, comparisons, planning, and choice. This'dual mind' theory--as brought to popular attention in books by Kahneman,3 Rugg,7 and Evans1--explains why the heuristics associated with evolution for survival in a dangerous hunter-gatherer world are also responsible for causing systematic biases in our judgments. Says Kahneman: "Jumping to conclusions is efficient if the conclusions are likely to be correct and the costs of an occasional mistake acceptable. Jumping to conclusions is risky when the situation is unfamiliar, the stakes are high and there is no time to collect more information."
We believe that a Standard Model of the Mind should take into account continuous state representations, continuous timing, continuous actions, continuous learning, and parallel control loops. For each of these, we describe initial models that we have made exploring these directions. While we have demonstrated that it is possible to construct high-level cognitive models with these features (which are uncommon in most cognitive modeling approaches), there are many theoretical challenges still to be faced to allow these features to interact in useful ways and to characterize what may be gained by including these features.