Why Should We Care About TinyML and AutoML?

Today, around 12% of the world’s land is utilized for farming. Yet it is believed an increase of 70% more food will be required, by 2050, to support the growing global population. Farmers continue to face challenges such as: Changes in climate producing more soil erosion, heat, and floods Constantly changing global economy Consumer demands […]

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AI Identifies Live Cancer Cells In Less Than 35 Minutes With 95% Accuracy

Researchers at National University of Singapore have developed a novel protocol using AI and inexpensive equipment to identify live cancer cells in less than 35 minutes with 95% accuracy. The ability to analyze single cells is one of the holy grails of precision medicine. Yuri Belotti, PhD, Doorgesh Sharma Jokhun, PhD, and Professor Chwee Teck (C.T.) Lim at

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AI In Healthcare Highlights & Milestones 2021

AI in Healthcare companies are making significant progress. We’ve reached the threshold of a new era where advanced technologies will improve the way we understand, treat, and prevent disease. In 2021 the application of AI enabled advances in many areas of healthcare. We made significant progress in AI for drug discovery, medical imaging, diagnostics, pathology,

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The Makings of Graph AI: A Brief Retrospective

There are two principal ways graph settings underpin various aspects of statistical Artificial Intelligence, which is typified by advanced machine learning deployments. Firstly, they’re perfect for discerning which data are apropos for engineering these cognitive computing models. Secondly, they’re ideal for a number of machine learning techniques (such as Graph Neural Networks and clustering) that

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The Top Artificial Intelligence Prediction for 2022: Composable AI

The composability precept is fascinating—and galvanizing organizations—for several reasons. It’s the key to nimbly adapting to the sometimes seismic shifts in business climates that unexpectedly arise. It’s also one of Gartner’s top 10 strategic predictions for 2022 and beyond. But according to Indico Data CEO Tom Wilde, it’s something altogether else that could very well

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The First Step Towards Responsible AI: Regulatory Compliance and Data Privacy

There is a growing cry from organizations, consumers, and regulators for responsible Artificial Intelligence—and with good reason. Gartner has termed responsible AI the foremost trend for driving near-term AI innovation. This concept encompasses several of the most eminent facets of business and societal use of AI, including explainability, ethics, fairness, accountability, and transparency. Most importantly,

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