To permanently access this app note for free, fill out the short form below. Most DNA extraction protocols were originally developed for manual pipetting and later adapted for liquid handlers. In ...

April 15 - Investors' and economists' concerns that artificial intelligence will upend established industries are deepening, with job losses already emerging in sectors most exposed to automation.

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According to an April 2026 report on job automation, patternmakers are threatened the most by automation, with 99% risk. Patternmakers are at the biggest risk of losing jobs due to automation, with ...

See real examples from Dotdigital customers using marketing automation to guide customers from discovery through to ongoing engagement and repeat purchases. The key to successful marketing automation ...

Microsoft's AI CEO is joining a chorus of executives who say they anticipate widespread job automation driven by artificial intelligence. Mustafa Suleyman, the Microsoft AI chief, said in an interview ...

But there’s another dimension to the picture. Some workers will find it easier to adapt, the researchers argue, based on factors like their savings, age and transferrable skills. Most web designers ...

PHOENIX (AZFamily) — Companies have blamed artificial intelligence for more than 12,000 job cuts in the first two months of 2026, about 8% of all layoffs, but Lucas Hansen is skeptical. Hansen, the co ...

At New America, our work spans across five issue areas—each essential to building a nation and a world where everyone can thrive. For over 25 years, New America’s insights and policy solutions have ...

About 130 years ago, the job of pianist was automated when Edwin Votey created the first player piano. The machine worked by reading music that was encoded by holes punched into rolls of paper, which ...

This is the question you do not want to be asked. And increasingly, it’s the question leaders are forced to answer after an incident. In the old world, that story, while not good, was often survivable ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...