Abstract: In this talk we examine how high performance computing has changed over the last 10-year and look toward the future in terms of trends. These changes have had and will continue to have a major impact on our numerical scientific software. We will look at the challenges and opportunities presented by the convergence of HPC, big data, and machine learning. We will discuss what is driving this convergence and what capabilities might it provide over the current scope/timescale of traditional HPC.

Abstract: A uniquely insightful opinion and thought exchange among the senior executives.

Abstract: Blockchain and AI have a symbiotic relationship. AI thrives on large volumes of data, and blockchain provides a secure and immutable platform for storing and sharing that data. In this panel, we will hear from experts leading digital transformation across Aviation, supply chain, and finance, on how blockchain and AI complement each other in the context of the industries; the key benefits that arise from the convergence; the challenges of integration; and the future prospects.

Abstract: Smart contract is a self-executing programme on blockchain that automatically executes predefined conditions without the need for intermediary. Deployed smart contracts are immutable, meaning no one can alter or tamper with the underlying logic. This “immutability” comes with drawbacks: bugs cannot be fixed, vulnerabilities can be exploited. Some common smart contract vulnerabilities: Integer Overflow and Underflow, Pay with Insufficient Balance, etc. The traditional approach is to detect smart contract coding bugs or mistakes via rule-based formal methods, however, it is not a complete solution because of the lack of identifying or predicting unknown vulnerabilities in the code logic. ParallelChain seeks to fill this gap by leveraging natural language processing (NLP) to develop an automated smart contract validation tool that can understand, identify the apparent as well as predict the unknown vulnerabilities.