Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

Software architecture has long faced the problem of operating within system boundaries where specific requirements dominate: ...

Artificial intelligence has become a core component across trading desks, data platforms, and execution systems in the crypto ...

Data quality problems are systemic in agriculture, the researchers note. Historical reliance on local practices, fragmented ...

For decades, modern banking systems have been built on a narrow definition of financial identity. You are considered “bankable” if you have a payslip, a formal employer, a credit history, collateral, ...

In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...

Driven by a plethora of benefits, data sharing is gradually becoming a “must have” for advanced device nodes and multi-die ...

Video-sharing platform TikTok has over a billion users worldwide, including more than 170 million in the United States, it ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

In our latest episode of Lexicon, we sat down with Vikhyat (“Vik”) Chaudhry, co-founder ...

An analysis of LinkedIn job postings reveals the highest-paying AI jobs in the U.S. The data shows how responsibility and ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...