• Introduction to AI (31 Aug)

    AI Singapore

    This workshop aims to immerse anyone who is interested in AI in the latest AI technologies and applications. Get a comprehensive overview, from how it all started, the key concepts involved such as Machine Learning and Deep learning to introducing AI in your enterprise. Programme Details Date: 31 August 2018 Time: 2pm – 5pm Venue: Seminar Room, Level 1 innovation 4.0 3 Research Link Singapore[masked] Who is this for? The workshop is designed for developers, executives and management who are interested in AI and would like to understand key AI concepts and the AI ecosystem. No technical experience is required. Programme Outline Part 1 Introduction of the key concepts in AI: -The definition of AI, machine learning, and deep learning -Historical developments that now differentiate modern AI from prior AI -Examples of machine learning and deep learning -The differences between supervised and unsupervised learning -Examples of where AI is being applied Part 2 Overview of the industries transformed by AI which includes examples of: -Healthcare and genomics -Transportation and automated driving -Retail and supply chain -Finance -Industrial -Government Part 3 Incorporate AI and data science workflows into your enterprise: -Identify steps in a data science workflow -Identify the key roles and skill sets within the field of AI -Describe ways to structure an AI team -Identify common data science misconceptions -Identify the components of AI model maintenance after deployment To confirm your registration, visit https://aisingapore.org/event/intro-to-ai-31-aug

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  • Introduction to AI (3 Aug)

    AI Singapore

    This workshop aims to immerse anyone who is interested in AI in the latest AI technologies and applications. Get a comprehensive overview, from how it all started, the key concepts involved such as Machine Learning and Deep learning to introducing AI in your enterprise. Programme Details Date: 3 August 2018 Time: 2pm – 5pm Venue: Seminar Room, Level 1 innovation 4.0 3 Research Link Singapore[masked] Who is this for? The workshop is designed for developers, executives and management who are interested in AI and would like to understand key AI concepts and the AI ecosystem. No technical experience is required. Programme Outline Part 1 Introduction of the key concepts in AI: -The definition of AI, machine learning, and deep learning -Historical developments that now differentiate modern AI from prior AI -Examples of machine learning and deep learning -The differences between supervised and unsupervised learning -Examples of where AI is being applied Part 2 Overview of the industries transformed by AI which includes examples of: -Healthcare and genomics -Transportation and automated driving -Retail and supply chain -Finance -Industrial -Government Part 3 Incorporate AI and data science workflows into your enterprise: -Identify steps in a data science workflow -Identify the key roles and skill sets within the field of AI -Describe ways to structure an AI team -Identify common data science misconceptions -Identify the components of AI model maintenance after deployment

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  • Intel AI DevCamp (22 June)

    AI Singapore

    Come join us at this full-day technical workshop which has been designed to allow anyone with some technical knowledge to have an introductory and holistic understanding of AI. In the first half, the workshop will be structured around fundamental concepts like Machine Learning, Deep Learning, Computer Vision and Reinforcement Learning. Topics relating to the latest AI technologies, ranging from Intel®’s AI DevCloud to popular frameworks and tools, will also be covered. The workshop will end with a mini AI Challenge where participants will go head to head to solve an AI problem. Note: Attendees will need to be proficient in Python. Please bring along your laptop for this session. Laptop Specifications: Skylake or at least Broadwell microarchitecture with Ubuntu 16.04 LTS, integrated graphics Workshop Details Date: 22 June 2018 (Registration for 21 June is closed) *Participants are to choose to attend either session Time: 9 am – 5 pm Venue: Seminar Room, Level 1 3 Research Link, Singapore[masked] Important: To register for this event, visit http://aisingapore.org/event/intel-ai-devcamp/

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  • AI Singapore - France AI Workshop

    AI Singapore

    This workshop is part of a series of engagement for the France - Singapore Year of Innovation. It aims to provide a platform for interactions, sharing and exchanges between Singapore and France, in the areas of AI research and in applied domains such as Healthcare. Details Date: 18 June 2018 Time: 0900 - 1800 (Registration starts at 0830) Venue: Seminar Room, Level 1 3 Research Link Singapore[masked] Agenda 0830 - Registration 0900 - Welcome Address: H. E. Marc Abensour Ambassador of France Singapore 0905 - AI Singapore Overview 0910 - Keynote Address: Cedric Villani Mathematician and Member of the French National Assembly" 0940 - Talks on AI 1100 - Tea Break 1125 - Talks on AI (Cont'd) 1240 - Lunch 1400 - Overview of AI in Health Grand Challenge by AI Singapore 1415 - Talks on AI in Health 1530 - Tea Break 1555 - Talks on AI in Health (Cont'd) 1725 - Closing 1800 - Reception hosted by Embassy of France in Singapore Keynote Speaker Biography Cedric Villani Mathematician and Member of the French National Assembly Author of 'For a Meaningful Artificial Intelligence: Towards a French and European Strategy' Cédric Villani is a French mathematician and a former student of the Ecole normale supérieure. He received a doctorate in Mathematics and he won the Fields Medal in 2010 and the Doob prize in 2014. He is now a professor at the University of Lyon. He directed the Institut Henri Poincaré in Paris from 2009 to 2017 and held various visiting positions at several foreign universities. He is a member of the National Assembly for the Fifth Constituency of the Essonne and he is vice-president of the OPECST (Parliamentary Office for Scientific and Technological Options Assessment ). He is a member of the Academy of Sciences and has published several books, including Alive Theorem, which has been translated into 12 languages. To register, visit: http://www.aisingapore.org/event/ai-singapore-france-ai-workshop/

  • The Science Of Anomaly Detection

    AI Singapore

    Sensors and data streams are proliferating as the ‘Internet of Things’ vision becomes realized. However, using the data from these sensors can be cumbersome. Specifically, being able to identify anomalies in streaming data is surprisingly difficult. Most techniques are in the form of thresholds, i.e. predetermined limits set to identify abnormalities. However, thresholds have some glaring weaknesses, such as finding problems only after an event has happened, rather than before, and not adapting to new states, where false positives often crowd out important signals. Hierarchical Temporal Memory (HTM) for IT works on a model of the neocortex, a part of the brain which controls many vital processes in our actions and behaviour, thereby, making it the best suited for streaming data applications where the underlying patterns are continually changing. Come and learn more about the work of Numenta and their ‎Hierarchical Temporal Memory - an innovative non-Deep Learning approach to solve this problem. Programme Details Date: 17 May 2018 Time: 6.45pm - 9pm Venue: Seminar Room, 3 Research Link, Singapore[masked] Programme Outline 6.45pm - 7pm: Welcome Note and Introduction to Streaming Data 7pm - 8pm: Presentation by Matthew Taylor (Open Source Community Manager, Numenta) 8pm - 9pm Demo and Hands-on by Edward Tiong, AI Engineer, AI Singapore. About Numenta is tackling one of the most important scientific challenges of all time: reverse engineering the neocortex. Studying how the brain works helps us understand the principles of intelligence and build machines that work on the same principles. We believe that understanding how the neocortex works is the fastest path to machine intelligence, and creating intelligent machines is important for the continued success of humankind.

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  • Your future in Artificial Intelligence

    AI Singapore

    Pressure for responsible AI won’t be on tech companies alone. Invasion of privacy, algorithmic bias, environmental damage, threats to brands and the bottom line – fears around AI are numerous. Join us at this session where we invite PwC Singapore’s subject matter experts to share mega-trends on working towards Responsible AI and career opportunities in this space. 4.45pm Registration 5.00pm Opening Address Laurence Liew, Director, AI Industry Innovation, AI Singapore 5.10pm Megatrends in Technology and the increasing risks Jenny Tan, Partner, Digital Trust, PwC Singapore 5.40pm Panel Discussion Moderated by: Mark Jansen, Data & Analytics Leader, PwC S'pore Panelists: Laurence Liew, Director, AI Industry Innovation, AI Singapore Ang Wee Tiong, Co-founder, JobTech 6.15pm Impact of AI in a career in Digital Trust Jenny Tan, Partner, Digital Trust, PwC Singapore 6.30pm Networking / Light Refreshments

  • Robotic Process Automation (RPA) with the open source TagUI RPA Tool

    • What we'll do AI Singapore now maintains and develops the TagUI tool – a Robotic Process Automation (RPA) tool – which can be used for automating user interactions with web browsers or other applications. Use cases include process automation, data acquisition and testing of web apps. ​The intention is to add AI capabilities to TagUI while keeping it open-source and free to use. Key features of the tool include cross-platform implementation (macOS, Linux, Windows), integration with R & Python for big data and AI use cases, execution of automation flows in 20+ human languages or JavaScript, and visual automation with OCR support. WORKSHOP OBJECTIVE Conceptually gain understanding of what RPA is all about, opportunities and challenges offered by RPA, current RPA technology landscape and where it is heading. Technically experience for yourselves RPA in action using the TagUI open-source RPA software (for people attending the hands-on, please bring along your own laptops). TARGET AUDIENCE People with interests in digital transformation, process improvement, engineering etc. Ideally you would have already heard about RPA (Robotic Process Automation) or Intelligent Automation. Technical experience is not mandatory, though attendees with programming experience will be able to try out more stuffs during the hands-on. PROGRAMME Overview of RPA – 20 minutes Background, today and future of RPA – introduce what RPA is and how is it different from traditional IT or automation technologies. Elaborate how RPA works and what type of work it can be used to automate. Opportunities and Challenges – discuss why RPA now and the automation opportunities of RPA. Elaborate on both the technical and human challenges faced when trying to deploy RPA. Tools and Implementations – talk about various RPA software market leaders (Blue Prism, Automation Anywhere, UiPath, WorkFusion). Examples of companies currently using RPA. Overview of TagUI – 20 minutes Intro to TagUI – free and open-source process automation software that reads workflows in human language to perform automation. Top 3 open-source automation tools for Google Chrome. TagUI can work on macOS, Linux-based OSes and Windows laptops, unlike commercial RPA software which can only work on Windows. Automation concepts – understanding the concepts for web apps and visual automation. TagUI can also interact with desktop applications using visual recognition. Though applications are increasingly shifting to web-apps instead of traditional thick or thin client-server architectures. Workflows demos – show some sample workflows of automation in action to let attendees get an overview of what is possible using TagUI software, so that they will be able to imagine in their own context what type of processes could be automated. RPA General Q&A – 20 minutes Hands-on Session – 60 minutes (Topics: Setup, Using it, Architecture, Advance Features, Developers Reference) • What to bring If you are staying for this hands-on session, please bring along your laptop. • Important to know This is a 2-parts workshop. First part is non-technical. Second part is a hands-on workshop with the TagUI tool.

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  • Public briefing on AI Singapore's AI Apprenticeship programme.

    Education Resource Centre – THE NGEE ANN KONGSI AUDITORIUM

    AIAP is a 9 months of full-time structured training programme for Singaporeans only who graduated less than 3 years ago as of 30th Dec 2017. An intensive structured program consisting of classroom, online and project work, you would be working with the top AI minds in Singapore universities and research institutions; and industry partners on real-world AI projects. AIAP is the 1st TechSkills Accelerator (TeSA) company-led training programme in Artificial Intelligence (AI) by AI Singapore in collaboration with IMDA. More details at https://www.aisingapore.org/aiap/ Come for the public briefing: on 9th Dec 2017! Agenda • 8.30 – 9.00am : Registration • 9.00 – 9.30am: AI Singapore introductions and AIAP briefing • 9.30 – 10.00am: Q&A from the audience • 10.00 – 10.30am: Tea reception • 10.30am – End

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  • FROM BIG DATA TO AI, THE EVOLUION OF TECHNOLOGY

    CREATE TOWER Level 4 Metamorphosis Rm

    Synposis: Yuanhao will share his perspective of Big Data to AI from a China perspective. As one of the early pioneer of big data and machine learning in China, Yuanhao brings a unique perspective to the AI landscape in China today. About the Speaker: Yuanhao Sun graduated from Nanjing University majored in Computer Science and joined Intel in 2003. Before starting Transwarp, he worked as CTO of Data Center Software Division of Intel Asia-Pacific Research and Development Center in charge of the development and commercialization of Intel’s enterprise Hadoop. Yuanhao was the founder of Intel’s enterprise Hadoop. He led the team to make multiple improvements and enhancements to meet different industry’s needs. Yuanhao left Intel in 2013 to start Transwarp which focus on high-efficiency computing engine and data analysis algorithms on Apache Hadoop. Yuanhao and his team made great contribution to big data development in China with hundreds of successful Big Data use cases.

  • Talk on Neuromorphic Computing and AI at the Edge

    IDA Labs Level 3 @ National Design Centre

    We are pleased to welcome Neuromem.ai to Singapore and to share their technology and expertise with the local AI community. I first encountered their technology in the Arduino 101 when I was building a wearable device last year. It was not clearly mentioned anywhere then, but the Arduino 101 came with 128-nodes neural network based on Neuromem technology! So one could combine the Arduino 101 cpu, accelerometer and gyroscope, and send these outputs to the neural-network for training and predictions - all in a single board! AGENDA 630pm-715pm: Registration and Networking • Introduction to AI@SG (10mins) • Introduction to Neuromorphic Computing with Neuromem (40mins) • Break • AI Computing at the Edge (30mins) • Demo of Neuromem technology (10mins) Speakers Laurence Liew, Director AI@SG Laurence is the Director of AI@SG responsible for industry development, engineering and commerialization of AI@SG partnership with the Singapore ecosystem. Laurence background includes the introduction of commerical open source technologies into Singapore such as Red Hat Linux in 1999, Beowulf HPC computing in 2000, Grid Computing with Globus in 2003 and more recently Enterprise R with Revolution Analytics which was acquired by Microsoft in 2015. Guy Paillet, President and CEO Guy is the inventor of the ZISC (Zero Instruction Set Computer), a neural network digital chip back in 1993. He brings a long experience in semiconductors, in hard-wired artificial vision systems and in parallel pattern recognition architecture to the company. He is an “out-of-the-box” thinker and can solve complex problems related to sensing (especially vision) and artificial intelligence with elegant, yet practical solutions. Guy talent has served in several companies including Data Sud Systems (DSS), IBM, EuroPixels and General Vision Inc. Anne Menendez, Executive VP, Software Engineering Anne Menendez founded General Vision (formerly named GTFS, Inc.) in 1987 to market and sell machine vision systems mostly based on the LabVIEW IMAQ Vision tools. After meeting Guy in 1997 and discovering the ZISC technology, both decided to refocus General Vision towards the design of image recognition systems based on neuromorphic hardware which lead to the development of the NeuroMem technology. Anne participated in the design and development of the NeuroMem CM1K chip. She develops the APIs and tools for the training and integration of NeuroMem hardware into image, signal and text analytics applications.

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