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AI Innovation

AI Apprenticeship Programme

From writing his first line of code to machine learning engineer in six years

Lee Meng Yong did not write a single line of code until the age of 27. Today at 33, he is a senior machine learning software engineer at Dyson, building computer vision capabilities into the next generation of intelligent household products. He credits the AI Apprentice Programme (AIAP)® for helping him to make this leap

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AI Innovation

Helping Singapore businesses to leverage graph database capabilities for AI/ML

AI Singapore (AISG) is looking to boost Singapore’s artificial intelligence (AI) and machine learning (ML) capabilities with the use of graph technology, which enhances analytics by finding unknown relationships in data that are not being identified by traditional means. Laurence Liew, director for AI Innovation at AISG, noted that while traditional relational databases will still

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AI Innovation

A Collaboration To Build Graph Database Capabilities in AI and Machine Learning Applications

TigerGraph and AI Singapore (AISG) have announced the signing of a Memorandum of Understanding (MOU) to promote Machine Learning (ML) and Artificial Intelligence (AI) industry enablement activities through AISG’s programmes in Singapore. TigerGraph will offer the world’s first distributed native graph database training and certification to AISG’s engineers and apprentices and jointly develop industry best

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AI For Everyone

Improving Singapore’s AI Literacy With AI for Everyone

For many people. their first point of contact with AI Singapore is through AI for Everyone. I had a chance to talk to Sengmeng, who leads the talent programme, on how getting the nation to be AI literate is so important. Below is a transcript of the conversation [*]. Hi Sengmeng, good to have you.

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AI Apprenticeship Programme

Stepping out of my comfort zone and into the world of AI

Getting into the AI Apprenticeship Programme (AIAP) certainly isn’t easy. But for those who make the cut, a whole new world of opportunities awaits in the field of AI. Shannen Lam had been working as a civil engineer for most of her life and was enjoying a stable job in a familiar trade when a

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AI Innovation

A Sneak-Peek Into a Cool Machine Learning Algorithm: Random Forest!

(This article was contributed by the SUTD AISG Student Chapter) In a traditional context, a random forest is defined as ‘A supervised machine learning algorithm that is constructed from decision tree algorithms’. In this article, we will attempt to better understand and explain the working principles of the random forest algorithm. Random forest is essentially a

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AI Innovation

Embracing the new normal with creative thinking and AI skills

The Covid pandemic has underscored the importance of embracing technological disruptions and being resilient, and the need to constantly adapt to new developments. Michelle Loke, like other graduates of AI Singapore’s  AI Apprenticeship Programme (AIAP), is well prepared for these challenges. Michelle graduated from the Singapore University of Technology and Design (SUTD) with a degree

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100E

Continental Automotive Singapore Partners AISG to Develop Real-Time AI Solutions to Monitor Driver Heart Conditions and Intelligent Mobility Solutions to Boost Autonomous Vehicle Safety

Continental Automotive Singapore, part of the global leading automotive technology company Continental, and AI Singapore (AISG), Singapore’s national AI programme, today announced three multi-year research initiatives under AISG’s flagship programme, 100 Experiments (100E).  The multinational will conduct in-depth AI-focused research to find solutions to address driver monitoring and autonomous driving challenges. Through this partnership, Continental

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AI Innovation

Artificial Intelligence and Work: Two Perspectives

By Steven M. Miller and Thomas H. Davenport One of the most important issues in contemporary societies is the impact of intelligent technologies on human work. For an empirical perspective on the issue, we recently completed 30 case studies of people collaborating with AI-enabled smart machines. 1 Twenty-four were from North America, mostly in the

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