{"id":83,"date":"2021-05-18T23:58:25","date_gmt":"2021-05-18T23:58:25","guid":{"rendered":"https:\/\/wp.csiro.au\/ai-cyber\/?page_id=83"},"modified":"2021-06-22T04:02:30","modified_gmt":"2021-06-22T04:02:30","slug":"melbourne-program","status":"publish","type":"page","link":"https:\/\/wp.csiro.au\/ai-cyber\/program\/melbourne-program\/","title":{"rendered":"Melbourne Program – 23 June 2021"},"content":{"rendered":"

Preliminary Agenda \u2013 Melbourne (local time, AEST)<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Time<\/strong><\/td>\nSession<\/strong><\/td>\n<\/tr>\n
9:30am – 9:35am<\/td>\nWelcoming<\/strong>
\nDr Marthie Grobler, CSIRO\u2019s Data61<\/td>\n<\/tr>\n
9:35am \u2013 9:50am<\/td>\nOpening Address<\/strong>
\nDr George Feast, SME Collaboration Nation Lead, CSIRO Services
\nThe importance of collaboration for SMEs<\/em>
\nThe CSIRO SME Collaboration Nation initiative aims to double the number of SMEs that engage with publicly-funded R&D by 2025 by (i) amplifying existing facilitation programs and providing better connections between them; (ii) simplifying and removing barriers to collaboration; and (iii) helping businesses and researchers understand the value of collaboration for positive impact. This presentation will take a tour through CSIRO\u2019s current collaboration offerings (e.g. through SME Connect), showcase some examples of SME impact through collaboration and introduce some of the recommendations from our research project with RMIT that asked 800 SMEs what the real and perceived barriers they found are to collaboration.<\/td>\n<\/tr>\n
9:50am \u2013 10:30am<\/td>\nSession chair: Marthie Grobler
\nAI and Cyber for Manufacturing<\/strong><\/p>\n
\n

David Rawlinson, Lead data scientist, WSP
\nFrom POC to Production: Successful delivery of AI\/ML projects<\/em>
\nAI\/ML projects have a high failure rate, which can be particularly damaging to SMEs. Companies often face significant challenges operationalising new technology, especially when working to bring change to large client organisations and government. Successful adoption of AI\/ML technology almost always involves changing business processes, integration with a variety of existing systems, management of competing stakeholders, and often depends on a solid foundation of digital maturity in client organizations. This talk will describe some of our experiences integrating AI\/ML into existing businesses, and some of the strategies that we have found successful.<\/p>\n

\n

Dr Maggie Zhang, Deep Learning Engineer, NVIDIA
\nAccelerating AI applications using NVIDIA GPUs and AI software stack<\/em>
\nAccelerating AI applications demands great computational resources when datasets increase in size and models in complexity. This talk will introduce NVIDIA\u2019s latest Ampere architecture and AI software stack to help you maximize the performance of your AI workloads on GPUs. NVIDIA AI software stack includes libraries, deep learning frameworks optimized for GPUs, and multiple tools for deep learning training and inference, to help you get the most out of GPUs. We will also share some customer stories to show you how they successfully accelerated their AI workloads in different domains using GPUs.<\/td>\n<\/tr>\n

10:30am \u2013 10:50am<\/td>\nMorning Break<\/td>\n<\/tr>\n
10:50am \u2013 11:30am<\/td>\nSession chair: Mohan Baruwal Chhetri
\nAI and Cyber for Culture and Society<\/strong><\/p>\n
\n

Prof John Grundy, Department of Software Systems & Cybersecurity, Monash Data Futures Institute
\nImpact of developer and end user human issues on AI and cybersecurity<\/em>
\nHumans are a key part of software development, including customers, designers, coders, testers and end users. This talk will discuss several examples from recent work on handling human-centric issues when engineering software systems. This includes personality impact on aspects of software development; understanding interpersonal issues in agile practices; incorporating end user emotions into software requirements engineering; providing proactive design critics in software tools to augment human decision making; modelling diverse human users of software systems; human-centric defect reporting; and the use of human-centric, domain-specific visual models for non-technical experts to specify and generate systems, without the need for software engineers at all.<\/p>\n

\n

Prof Svetha Venkatesh, Alfred Deakin Professor and co-Director of Applied Artificial Intelligence Institute (A2<\/sup>I2<\/sup>) at Deakin University
\nSMEs: what are the AI opportunities?<\/em>
\nThis talk will outline promising directions for the use of AI in SMEs. It will introduce basic technologies that underpin areas of prediction, recommendation, anomaly detection and optimization.<\/td>\n<\/tr>\n

11:30am \u2013 12:10pm<\/td>\nAI and Cyber for Defence<\/strong><\/strong><\/p>\n
\n

Dr Paul Beinat, Principal at Finity Consulting, Adjunct professor at UTS
\nUsing an artificial immune system to detect malicious intrusions<\/em>
\nCan people who know almost nothing about cyber attacks and malicious activity make any headway in this field? Using a novel artificial neural network to model the joint probability distribution of data, as the self in an artificial immune system, has enabled a robust type of anomaly detection. Anomalies can be detected individually or by comparing the joint distribution of live data to the reference distribution, leading to collective anomalies. We will examine its performance on a real web traffic data set.<\/p>\n

\n

AI and Cyber for Culture and Society<\/strong><\/p>\n

\n

Dr Shiri Krebs, Associate Professor of Law,\u00a0Deakin Law School
\nCo-Lead, Law and Policy Theme, Cyber Security Cooperative Research Centre
\nPredictive Technologies: New Challenges in a Future-Focused World<\/em>
\nBusinesses have been increasingly relying on AI-based applications to assist decision-making processes and risk assessments in various organisational contexts. AI-based technologies provide sensitive, future-focused, data to assist decision-makers in evaluating risk. While adding a large amount of time-sensitive and relevant data that informs decision-makers in real time, AI-generated data also place additional burdens on decision-makers, including by triggering cognitive biases, including invisible blind spots, and creating a persuasive virtual representation of reality that is difficult to refute. In this talk, A\/Prof Krebs will discuss the challenges stemming from human-machine interaction in the context of technology-assisted decision-making processes, and suggest ways for improving technology-assisted decision-making processes.<\/td>\n<\/tr>\n

12:10pm \u2013 1:00pm<\/td>\nLunch Break<\/td>\n<\/tr>\n
1:00pm \u2013 1:40pm<\/td>\nSession chair: Kristin Moore
\nPanel Session<\/strong>
\nFacilitator: Dr Marthie Grobler, CSIRO’s Data61
\nTopic: Building a strong AI presence for SMEs to make the best of what technology can offer\u2026 securely
\n<\/em>Panel members<\/span>:
\nMatt Sinclair, Microsoft Australia
\nDr Megan Sebben, CSIRO\u2019s SME Connect
\nJohan Locke, Director \u2013 Insights & Data, Capgemini
\nCheng Soon Ong<\/td>\n<\/tr>\n
1:40pm \u2013 2:20pm<\/td>\nAI and Cyber for Culture and Society<\/strong><\/p>\n
\n

Dr Catherine Lopes, AI, Data & Analytics + Intelligent Automation Networks
\nAI and people analytics: Risks and rewards<\/em><\/p>\n

\n

Dr Omaru Maruatona, CEO at Aiculus
\nInnovating with Cyber-AI: Challenges and opportunities<\/em>
\nAiculus was founded on the grand ambition and opportunity of Cyber-AI in 2017. In 2020, Aiculus secured significant seed funding from a venture capital firm and was also conferred the biggest innovation award in Singapore.\u00a0 Dr Omaru Maruatona shares his experiences and thoughts on innovating in the Cyber-AI space, including the challenges and opportunities that Aiculus has faced along the journey.<\/td>\n<\/tr>\n

2:20pm \u2013 2:40pm<\/td>\nAfternoon Break<\/td>\n<\/tr>\n
2:40pm \u2013 3:20pm<\/td>\nSession chair: Roshan Dodanwela
\nKeynote<\/strong>
\nDr Ian Oppermann, Chief Data Scientist, Customer, Delivery and Transformation |\u00a0 Department of Customer Service
\nResponsible and ethical use of AI in the public sector, challenges, and best practices<\/em><\/span>
\nThe use of data and analytics – including AI – is increasingly part of our joined up digital world. To ensure we use AI in an appropriate fashion, NSW has recently released an AI Strategy, AI Ethics Policy and AI implementation guideline. NSW is also in the process developing an AI Assurance framework and tools for those in government looking to stand up AI solutions.<\/td>\n<\/tr>\n
3:20pm \u2013 3:40pm<\/td>\nAI and Cyber for Digital Infrastructure and Digital Twins<\/strong><\/p>\n
\n

Dr Sue Keay, Chair: Robotics Roadmap for Australia, Chair: Robotics Australia Group
\nTransforming business operations with AI and Digital Twins<\/em>
\nImproved computer processing power, access to the internet and\u00a0the\u00a0proliferation\u00a0of robust, low cost sensors is paving the way for more and more businesses to take advantage of AI and create digital twins. The technology is now becoming accessible to SMEs across a range of new sectors. Examples of such applications will be discussed.<\/td>\n<\/tr>\n

3:40pm \u2013 3:45pm<\/td>\nClosing<\/strong>
\nRoshan Dodanwela, CSIRO’s B&IS<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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 <\/p>\n","protected":false},"excerpt":{"rendered":"

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