Artificial intelligence (AI) and cryptocurrency are two of the most exciting and rapidly-evolving technologies of our time. The intersection of crypto and AI is starting to gain traction, with a number of AI-related cryptocurrencies emerging in recent years. In the past number of months in particular, AI cryptocurrencies have received increased attention. In this article, we'll take a closer look at some of the top AI cryptocurrencies currently in the market. SingularityNET is a decentralized marketplace for AI services.

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MD&M West Booth #1259 -- MBX Systems, a specialized hardware designer and integrator, announced today that it is working with the NVIDIA Clara Holoscan MGX AI computing platform to streamline the development of next-generation AI-defined medical instrument solutions. Medical technology developers using the NVIDIA platform can deploy their solutions on MBX's embedded and edge hardware building blocks to eliminate costly and time-consuming custom hardware development. Clara Holoscan MGX is an AI computing platform for commercial medical devices that require high-performance, low-latency AI capabilities. The platform can help medical technology developers reduce development time as well as certification time and effort. It also provides long-term whole-stack software support and long-lifecycle support for NVIDIA hardware components, reducing the need for costly hardware updates for obsolete components while also ensuring the software is regularly updated with bug fixes and security vulnerability patches.

The cognitiveAI Platform is a cloud-based AI software platform for deriving new levels of Enterprise value from multiple data sources. The AI platform is designed to be cost-effective, easily deployed and used to simplify complexity while unlocking the power of Semantic Computing.

Demonstrating how far artificial intelligence (AI) reaches industrial manufacturing, general purpose graphics processor unit (GPU) and edge computing provider, Aetina has partnered with customised equipment supplier, Ke Cheng to bring AI computing into original automated visual inspection (AVI) equipment to raise the accuracy ratio of detection to 90 per cent. The result is faster operation, adds the company. In the past, AVI equipment performance could be affected by colour differences and height. Ke Cheng brought system integration and vision recognition expertise to upgrade the original AVI equipment with the Aetina Jetson AI computing platform. Ke Cheng focuses on metal inspection, customised system integration services and the development and optimisation of vision inspection software.

To support the demand for more smart applications for AI embedded system and application developers, Aetina offers a series of system on modules (SoMs) built with Nvidia Jetson modules. The company has compared its Nvidia Jetson AGX Xavier edge computing platform with the RTX 2080 graphics card. Using the Aetina Jetson AGX Xavier AI computing platform, which has 512 CUDA computing cores and 11 TFLOPS of AI computing inference, the company compared the Nvidia RTX 2080 high-performance graphics card which provides 20.14TFLOPS computing performance, but it needs 225W for operation. However, with the Xavier platform, it only cost 30W for operation, bringing 0.367 TFLOPS/W, for a four-fold improvement in AI performance effciency, reports Aetina, compared to RTX 2080's 0.09 TFLOPS/W. The Xavier platform supports various I/O extension, external high-speed Net card, and flexible match with different camera modules.

Owkin, which is developing Federated Learning and AI technologies to advance medical research, announces it is teaming up with technology company NVIDIA and King's College London (KCL) to deliver Federated Learning in the healthcare and life sciences sector. The King's College London Medical Imaging and AI Centre for Value Based Healthcare (AI4VBH) is one of the world's most ambitious Federated Learning projects in healthcare. It will initially connect four of London's premier teaching hospitals before expanding throughout the UK, and will offer AI services to accelerate research and improve clinical practice in a wide range of therapeutic areas, including cancer, heart failure and neurodegenerative disease. Owkin's co-founder and Chief Scientific Officer, Gilles Wainrib, said: "This partnership brings together the best players in life science & healthcare, machine learning and data center infrastructure. NVIDIA's platforms create the ideal and flexible footprint for hospitals to invest in machine learning. King's College London has assembled the engineering, medical and data science talent, the high-quality patient data, and the governance framework in the AI4VBH Centre, that will show the world the future of healthcare analytics and the power of machine learning. Together we will be enabling the formation of a decentralized dataset that will generate enormous value for research and clinical practice. Owkin hopes to demonstrate that a Federating Learning architecture is safer for patients, and statistically equivalent to the traditional pooled model for analysis. Owkin also sees huge research potential to analyse the patient data in the AI4VBH Centre to identify new biomarkers, and high value subgroups for clinical trial design and diagnostics."

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DBC is the first AI computing platform driven by blockchain. It is a new attempt between AI and Digital Currency. The company introduced its cloud platform in May 2017 and already created a working product with over 100 manufacturers using the platform including Microsoft, Samsung, Siemens, and Lenovo. DeepBrain Chain is an Artificial Intelligence Computing Platform driven by blockchain. The DBC project is for global AI computing resource sharing and resource scheduling because many small businesses do not have the money to buy expensive GPU servers, but many companies have a large number of GPU servers which are idle.

Heart of the Tesla's new autonomous driving hardware, that some day will enable fully self-driving cars, is the latest NVIDIA DRIVE PX 2 AI computing platform (see live presentation of it in action below). NVIDIA DRIVE PX 2 is the open AI car computing platform that enables automakers and their tier 1 suppliers to accelerate production of automated and autonomous vehicles. For NVIDIA, DRIVE PX 2 is now in full production as Tesla requires thousands of units each month for manufacturing of the Model S and Model X, soon that number could be tens of thousands per month when the Model 3 assembly starts later next year. Tesla Motors has announced that all Tesla vehicles -- Model S, Model X, and the upcoming Model 3 -- will now be equipped with an on-board "supercomputer" that can provide full self-driving capability. The computer delivers more than 40 times the processing power of the previous system. It runs a Tesla-developed neural net for vision, sonar, and radar processing.