The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...
Security professionals can recognize the presence of drift (or its potential) in several ways. Accuracy, precision, and ...
For R&D leaders evaluating AI investments, I’d offer one piece of advice: Before spending more on models, look hard at your ...
So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...
The ability to collect data from electronic medical records, medical images, devices, diagnostics, wearables and apps means that more real world data (RWD) is available to be analyzed and derive ...
By Michael Krallmann, CEO, TransLegal. For the legal tech community, cross-jurisdictional meaning raises questions of risk, liability and trust. Increasingly capable models, wrapped in ...
AI is being woven into military systems intended to help human commanders make decisions in times of crisis, but there is no real-world data for training machines about nuclear war.
A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial intelligence models—without needing access to the original training data.
If you wandered the trade show floor at the American Baseball Coaches Association convention in Washington, D.C. this past January, it was impossible to miss the shift. Technology booths sprawled ...
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