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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Science commnication

AI Wasn’t Supposed to Understand

That story is getting harder to defend. Every time researchers look inside these models, they find things that behave like ideas. Abstract concepts, forming on their own, that nobody designed and nobody asked for. The most striking case came out of Anthropic this July (Anthropic, 2026). Deep inside Claude, they found a structure that neuroscientists have been arguing about since the 1980s.

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Uncategorized

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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Uncategorized

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.

Leer más

AI Wasn’t Supposed to Understand

That story is getting harder to defend. Every time researchers look inside these models, they find things that behave like ideas. Abstract concepts, forming on their own, that nobody designed and nobody asked for. The most striking case came out of Anthropic this July (Anthropic, 2026). Deep inside Claude, they found a structure that neuroscientists have been arguing about since the 1980s.

Leer más

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.

Leer más

From zero to a neuroscience laboratory

Methodological article proposing a structured framework for designing multimodal laboratories in neuroscience, addressing infrastructure, environmental control, synchronization and data management.

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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.

Leer más

Effects of gratitude on cells

This study explores how gratitude-induced acoustic changes in the human voice could influence cell proliferation, suggesting a possible interaction between emotions and cell biology through physical principles.

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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.

Leer más