The EU AI Act: What you need to know
After data privacy and GDPR, the EU wants to leave its mark on AI by regulating it with the EU AI Act. Here's what it is, what it means for the world at large, when it's expected to take effect, and what experts from the Mozilla Foundation have to say about it.
Read More →Averting the food crisis and restoring environmental balance with data-driven regenerative agriculture
Modern agriculture was broken long before pandemics, wars, supply chain disruptions, and fertilizer shortages. Regenerative agriculture can fix it.
Read More →LinkedIn on the ‘Great Reshuffle’: Green skills, green jobs, and blind spots
LinkedIn embarked on an ambitious analysis of data from its nearly 800 million members worldwide to derive insights on the green transition. But while useful, the analysis comes with its blind spots, too.
Read More →Google sets the bar for AI language models with PaLM
Google’s new large language model (LLM) called PaLM (Pathways Language Model) is the first outcome of Pathways, Google’s new AI architecture, which aims to handle many tasks at once, learn new tasks quickly and reflect a better understanding of the world.
Read More →Massaging AI language models for fun, profit and ethics
Do AI language models really demonstrate intelligence? What about morality? Is it ok to tweak them, and if yes, who gets to do this, and how do the rest of us know?
Read More →Trullion tackles applying AI to accounting workflows
Most of us do not consider accounting to be a separate line of business. But accounting is big business, in and of itself.
Read More →Andrew Ng predicts the next 10 years in AI
Did you ever feel you’ve had enough of your current line of work and wanted to shift gears? If you have, you’re definitely not alone. Besides taking part in the Great Resignation, however, there are also less radical approaches, like the one Andrew Ng is taking.
Read More →How Netflix built its real-time data infrastructure
What makes Netflix, Netflix? Creating compelling original programming, analyzing its user data to serve subscribers better, and letting people consume content in the ways they prefer, according to Investopedia’s analysis.
Read More →Machine learning is going real-time: Here’s why and how
Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.
Read More →Working from home means working different hours, but not necessarily more
The National Bureau of Economic Research analyzed the side effects of remote work using data from GitHub.
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