John Giordani has extensive experience in cybersecurity and information assurance. He is Chief Information Security Officer at NCHENG LLP. Machine learning relies on data to make predictions. Data is just information, and information can be stored in almost any medium and be called a "dataset." Datasets are great sources of information, but they are not always reliable. That's where artificial intelligence comes in.

SINGAPORE - A one-man team comprising Singaporean research scientist Wang Weimin beat 469 other teams from around the world in a five-month-long challenge to develop the best artificial intelligence (AI) model for detecting deepfakes, or digitally altered video clips. Mr Wang's model was 98.53 per cent accurate at telling apart genuine clips from those that featured digitally manipulated faces, voices or both. On Friday (April 29), the National University of Singapore graduate was awarded first place and a cash prize of $100,000 in the Trusted Media Challenge organised by AI Singapore, a national AI programme office under the National Research Foundation. Mr Wang, who works at Chinese tech giant ByteDance, which owns TikTok, was also offered a $300,000 start-up grant to commercialise his invention. But he said he is hoping to incorporate his AI model into his company's BytePlus platform and offer deepfake detection as a service to its clients.

The Morning Download delivers daily insights and news on business technology from the CIO Journal team. Meta, which announced the news in a blog post Monday, said its research team currently is using the supercomputer to train AI models in natural-language processing and computer vision for research. The aim is to boost capabilities to one day train models with more than a trillion parameters on data sets as large as an exabyte, which is roughly equivalent to 36,000 years of high-quality video. "The experiences we're building for the metaverse require enormous compute power…and RSC will enable new AI models that can learn from trillions of examples, understand hundreds of languages, and more," Meta CEO Mark Zuckerberg said in a statement provided to The Wall Street Journal. By mid-summer, when the AI Research SuperCluster is fully built, it will house some 16,000 GPUs, becoming the fastest AI supercomputer in the world, Meta said.

Have you struggled in extracting REAL value out of your newly-developed AI models? "What do you mean by production? The above is a typical response of aspiring data scientists within many leading organisations. A production-grade AI model is one that helps humans make business decisions in a sustainable and predictable approach. In the last few years, I have led organisation transformation in advanced analytics and data science with great success.