Explore the benefits of using open source frameworks like TensorFlow and Caffe together with toolsets that provides robust end-to-end workflow support for deep learning application logic. This includes the complete lifecycle management from installation and configuration, data ingest and preparation, building, optimizing, and training the model, to inference, testing, and moving the model into production. Taking advantage of a distributed architecture, this enables your teams to quickly iterate through the training cycle on more data to continuously improve the model over time.
SGInnovate partners with Red Dragon AI to introduce to you - Deep Learning Developer Series. Back by popular demand, the Deep Learning Jump-start workshop is the first module of the Deep Learning Developer Series. This 2-days packed workshop is designed to introduce you to the skills needed to start your journey as a Deep Learning Developer. By the end of the workshop, expect to be empowered with the ability to take your new found Deep Learning knowledge and apply it in your job/projects straight away!
Join us in a fireside chat with our Google Developer Experts as we talk about the AI career path into Machine Learning and Deep Learning. Our veteran speakers will weigh in and give you insights into their roles, help you understand the skills and tools needed to get there and inspire you to venture into the exciting world of AI.
This two day workshop will introduce students to data exploration and machine learning techniques. Students will learn about the data science workflow and will practice exploring and visualising data using Python and built-in libraries. Students will also explore the differences between supervised and unsupervised learning techniques and practice creating predictive regression models.
In mental health care and wellbeing, AI and related technologies (like machine learning) can be used to gain personalized insights based on an individual’s current mental status, lifestyle, behavior, and genetic information. Join our panel of experts for an evening exploring how data, AI, and technology are redesigning the mental health industry.
Whether you have experience in programming or are looking to get started for the first time, getting involved in the Python community will put you on the fast track to honing your skills. In this class, you’ll learn all about Python - including how to get started, what advantages and disadvantages Python provides as a programming language, the essentials of programming in Python, and what tools are available to build applications in Python.
The global AI landscape is increasingly crowded and competitive, as cities and countries turn to artificial intelligence to power education, health and economic growth. Much is at stake for governments, industry and citizenry as the rise of the machine percolates society. And with two major players (USA and China) dominating the landscape, where does the rest of the world stand? Hear from Dr Ieva Martinkenaite from Telenor Group, an AI expert appointed to the EU High-Level Expert Group on Artificial Intelligence (AI HLG), as she shares with us the must-win battles and ethical dilemmas in this new world.
Mobile technology has been one of the largest contributors to big data for the past several years. The implementation of app-enabled smart phones and now the growth of the wearable device market are all creating massive new data flows that can be put to use for health and other purposes. Join our deep tech entrepreneurs as we discuss how wearables and data insights are delivering better care to all.
As every country in the region are driving AI effort and initiative, NVIDIA AI Technology Centre will like to take this opportunity to facilitate a regional platform, in partnership with SGInnovate, with vision and aspiration that the event can grow into a leading AI academic conference.
Ling Fan, the founder of Sequoia Capital-backed startup Tezign which serves customers like Alibaba and uses AI to create commercial designs, will be sharing about the intersection and co-evolution of AI and design – two fields that we do not normally think or expect to intersect.
In today's business environment, it is not uncommon to see in house data scientist teams with deep expertise in Machine Learning or an Operational Research team with skilled expertise in Decision Optimization. On its own, each method have a fair amount of success applying these technologies in isolation, how then can we combined both of these technologies to help them gain a competitive advantage?
In health care, AI and related technologies (like machine learning) can be used to gain insight into a patient’s medical history, present state, and potential future outcomes. Healthcare companies supporting patients or providers will leverage AI to provide specific, personalized insights based on an individual’s current health status, lifestyle, behavior, and genetic information. Join our panel of experts for an evening exploring how data, AI and technology are redesigning healthcare.