One of the biggest risks to any AI tool is data integrity. Cybersecurity is built on the CIA triad of confidentiality, ...

Every company wants to make breakthroughs with AI. But if your data is bad, your AI initiatives are doomed from the start.

Long-term weather forecasting is a difficult task, partly because weather systems are inherently chaotic. Though mathematical ...

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 ...

Peter Guerra, Global Vice President of Data and AI at Oracle, discussed prioritizing data governance, integrity and accessibility in federal systems. He highlighted the race to modernize federal data ...

Cheaper AI models may be trained on outputs of older systems instead of fresh human data.

FICO stakes a claim that narrow will be broad with the launch of its Focused Foundation Model for Financial Services and its ...

Top U.S. cancer centers have launched a federated AI platform, letting models learn from patient data securely to accelerate ...

Cybersecurity researchers have disclosed two security flaws in Wondershare RepairIt that exposed private user data and ...

Artificial intelligence models have improved weather forecasting, but their inner workings are largely opaque. A new approach ...

Disabling this setting prevents your data from being used, but data already used for training can't be taken back ...