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Introducing the technology behind watsonx.ai, IBM’s AI and data platform for enterprise

IBM Big Data Hub

Data must be laboriously collected, curated, and labeled with task-specific annotations to train AI models. The emergence of transformers and self-supervised learning methods has allowed us to tap into vast quantities of unlabeled data, paving the way for large pre-trained models, sometimes called “ foundation models.”

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Professional associations have work to do

CILIP

s largest and oldest library association explains how she aims to keep it relevant to a fracturing profession while serving a divided nation. Reimagined on 19 November - took up her post as Executive Director of the American Library Association in January. rapid racial diversification of the library workforce. libraries haven?t

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5 Major Cybersecurity Trends to Know for 2024

eSecurity Planet

Yet these dangers can be offset through training to minimize issues. By training such models with PII data that is readily available on dark web marketplaces, attack lures that are much more personal and enterprise specific can be created at scale. continues Ricardo Villadiego, founder & CEO of Lumu. “By

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How AI Could Write Our Laws

Schneier on Security

Big energy companies expect action whenever there is a move to end drilling leases for federal lands, in exchange for the tens of millions they contribute to congressional reelection campaigns. We should expect these techniques to get better and their utilization to grow, just as we’ve seen in so many other domains.