The recent advancement of Blockchain technology consolidates its status as a viable alternative for various domains. However, evaluating the performance of blockchain applications can be challenging due to the underlying infrastructure's complexity and distributed nature. Therefore, a reliable modelling approach is needed to boost Blockchain-based applications' development and evaluation. While simulation-based solutions have been researched, machine learning (ML) model-based techniques are rarely discussed in conjunction with evaluating blockchain application performance. Our novel research makes use of two ML model-based methods. Firstly, we train a $k$ nearest neighbour ($k$NN) and support vector machine (SVM) to predict blockchain performance using predetermined configuration parameters. Secondly, we employ the salp swarm optimization (SO) ML model which enables the investigation of optimal blockchain configurations for achieving the required performance level. We use rough set theory to enhance SO, hereafter called ISO, which we demonstrate to prove achieving an accurate recommendation of optimal parameter configurations; despite uncertainty. Finally, statistical comparisons indicate that our models have a competitive edge. The $k$NN model outperforms SVM by 5\% and the ISO also demonstrates a reduction of 4\% inaccuracy deviation compared to regular SO.

The next generation of wireless technology is upon us, called 5G. This new standard promises faster speeds, lower latency, and more reliable connections than ever before. But what is 5G, and how will it impact our lives? This new standard is being rolled out across the globe, and many experts believe that it will revolutionize the way we live and work. This will open up a whole new world of possibilities and allow us to do things that were previously not possible.

As the conversation around blockchain and AI continues heating up, it's important that industry stakeholders collaborate to eliminate potential barriers to innovation. Blockchain and AI share common challenges preventing them from reaching their full potential; With the fact that blockchain applications can access high-quality data for machine learning, it becomes important for AI. To execute that, blockchain applications will need to collaborate with external data providers. However, the complexity of blockchain technology makes it difficult for traditional data providers to use blockchain applications to share information in a way that meets their risk mitigation and business model needs. With some cases, this integration of blockchain and AI can lead to a future where sensitive data that is analysed using AI won't have to be stored in a centralised location, but rather distributed over multiple nodes.

From the emerge of cognitive intelligence, in-memory-computing, fault-tolerant quantum computing, new materials-based semiconductor devices, to faster growth of industrial IoT, large-scale collaboration between machines, production-grade blockchain applications, modular chip design, and artificial intelligence technologies to protect data privacy, more technology advancements and breakthroughs are expected to gain momentum and generate big impacts the daily life. "We are at the era of rapid technology development. In particular, technologies such as cloud computing, artificial intelligence, blockchain, and data intelligence are expected to accelerate the pace of the digital economy," said Jeff Zhang, Head of Alibaba DAMO Academy and President of Alibaba Cloud Intelligence. "In addition to exploring the unknown through scientific and technological research, we are also working with industry players to foster the applications of innovation in different industries, making technologies more accessible for the businesses and society at large." Alibaba DAMO Academy, the global research initiative by Alibaba Group, provides its forecast of the leading trends that would gain pace in the tech industry in 2020.

Artificial intelligence has reached or surpassed humans in the areas of perceptual intelligence such as speech to text, natural language processing, video understanding, etc; but in the field of cognitive intelligence that requires external knowledge, logical reasoning, or domain migration, it is still in its infancy. Cognitive intelligence will draw inspiration from cognitive psychology, brain science, and human social history, combined with techniques such as cross-domain knowledge graph, causality inference, and continuous learning to establish effective mechanisms for stable acquisition and expression of knowledge. These make machines to understand and utilize knowledge, achieving key breakthroughs from perceptual intelligence to cognitive intelligence. In Von Neumann architecture, memory and processor are separate and the computation requires data to be moved back and forth. With the rapid development of data-driven AI algorithms in recent years, it has come to a point where the hardware becomes the bottleneck in the explorations of more advanced algorithms.

Changing the game in their own right, the blockchain and the AI are two technological trends that have the potential to become even more revolutionary when combined. Blockchain technology aims to transform communication and transactions by improving trust between strangers, improving provenance, transparency, and privacy, while AI can handle complex tasks through the use of impressive computational power. As far as public acceptance is concerned, blockchain may be able to ensure the accuracy of user data applied to AI technology. By increasing the performance of AI, the storage of the blockchain will be made more accessible to access unstructured data. In fact, with the development of AI and blockchain technology, AI and blockchain technology have become more widespread, AI can take over the mining process on the blockchain (cryptocurrency).

OmniPHR: A distributed architecture model to integrate personal health records.

The pace of innovation never slows and Oracle is with you all the way! Every technology wave provides great opportunities. When will they show up on your roadmap? Here you can watch highlights (2 minutes) or the entire session (40 minutes). In this post, I'll highlight our five demonstrations.

Alibaba DAMO Academy, the global research program launched by Alibaba in 2017, has published its predictions for the Top 10 technology trends in 2019. From speech AI, super-large graph neural networks, heterogenous computing architecture, to autonomous driving, blockchain and data protection technologies, machine intelligence has been generating great impacts on our lives, and an accelerated pace of technology revolution is expected in the year ahead. Real-time urban simulation becomes possible More resources will be allocated to technologies powering an intelligent "city brain" and its applications, while a city simulation model reflecting the real-time impulses and movements of a physical city can be built to facilitate the optimisation of city governance. More cities in China are expected to have a "city brain" in 2019. Speech AI in certain areas to pass Turing Test As speech intelligence technology advances, realtime text-to-speech on mobile devices would be almost identical to human speech, even passing the Turing test in certain conversations, such as ones using a robotic voice to alert about delivery status.

About this course: If you're a software developer and new to blockchain, this is the course for you. Several experienced IBM blockchain developer advocates will lead you through a series of videos that describe high-level concepts, components, and strategies on building blockchain business networks. You'll also get hands-on experience modeling and building blockchain networks as well as create your first blockchain application. The first part of this course covers basic concepts of blockchain, and no programming skills are required. However, to complete three of the four labs, you must understand basic software object-oriented programming and how to use the command line. It's also helpful, but not required, that you can write code in JavaScript.