Measuring presence at work

by | Feb 4, 2026

Two application tools for work environments are presented, improving the understanding of presence and its impact on organizational results.
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Meta built a digital brain you can run experiments on

The AI models behind ChatGPT, modern video generators, and voice assistants were never trained on brains. They learned from text, video, and audio scraped off the internet. And yet, a new paper from Meta's FAIR lab shows that if you take what these models have internally learned and add a small layer trained on fMRI recordings (a kind of brain scan) from 720 people, the result is something close to a working model of the human brain.

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Can AI Make Brain-Computer Interfaces Actually Work?

Brain-computer interfaces have promised to let people control machines with their thoughts, but they have a fundamental problem: brain signals, especially those captured without surgery, are noisy and imprecise. Most research has tried to build better decoders to extract cleaner commands from the noise, but there’s a limit to how much that helps. A recent study took a different approach.

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Scientific paper

Advances in sonobiology

Sonobiology studies how acoustic waves and low vibrations influence key cellular processes, such as growth and differentiation, through mechanisms that connect mechanical stimuli with gene expression.

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Meta built a digital brain you can run experiments on

The AI models behind ChatGPT, modern video generators, and voice assistants were never trained on brains. They learned from text, video, and audio scraped off the internet. And yet, a new paper from Meta's FAIR lab shows that if you take what these models have internally learned and add a small layer trained on fMRI recordings (a kind of brain scan) from 720 people, the result is something close to a working model of the human brain.

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From zero to a neuroscience laboratory

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Can AI Make Brain-Computer Interfaces Actually Work?

Brain-computer interfaces have promised to let people control machines with their thoughts, but they have a fundamental problem: brain signals, especially those captured without surgery, are noisy and imprecise. Most research has tried to build better decoders to extract cleaner commands from the noise, but there’s a limit to how much that helps. A recent study took a different approach.

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Effects of gratitude on cells

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Advances in sonobiology

Sonobiology studies how acoustic waves and low vibrations influence key cellular processes, such as growth and differentiation, through mechanisms that connect mechanical stimuli with gene expression.

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