Data annotation, or the process of adding labels to images, text, audio and other forms of sample data, is typically a key step in developing AI systems. The vast majority of systems learn to make ...

The July uprising did not emerge from ideology alone; it reflected a deeper structural frustration: large numbers of educated and semi-educated young people facing narrowing pathways into stable work.

When we talk about artificial intelligence, most people immediately think of futuristic robots and self-driving cars. But here’s the truth I’ve learned over years of working with data and leading ...

Keymakr, a data-annotation service provider delivering high-quality datasets to AI innovators, announces the launch of its SaaS platform, Keylabs. Through Keylabs, Keymakr empowers companies of all ...

Following the pandemic, digitalization accelerated and enterprises started investing aggressively in artificial intelligence (AI) and automation to improve their business processes and drive ...

‘Never again’: Inside the chaotic world of the people making AI seem human Remote gig workers at AI data darling Scale AI are grappling with unpredictabliity, nonpayment, and vanishing job security.

Different projects require different workflows. In data annotation platforms, flexible workflows help manage quality, speed, and complexity. Rigid workflows can lead to delays and errors, especially ...

Genome Nexus (1) aggregates variant information from sources that are relevant to cancer research and clinical applications, (2) allows high-performance programmatic access to the aggregated data via ...

Artificial intelligence is blamed for taking away thousands of jobs. But, it also creates a few — at least for now. That’s because some artificial intelligence systems are still pretty dumb. They need ...

In many embodiments, machine classifiers may process the set of data to identify particular features within the data. Scoring data can be generated, based on annotations provided by other adjuster ...