Physical Exercise Performed Four Hours after Learning Improves Memory Retention and Increases Hippocampal Pattern Similarity during Retrieval: Current Biology
https://www.cell.com/current-biology/fulltext/S0960-9822(16)30465-1
https://www.cell.com/current-biology/fulltext/S0960-9822(16)30465-1
Current Biology
Physical Exercise Performed Four Hours after Learning Improves Memory Retention and Increases Hippocampal Pattern Similarity during…
van Dongen et al. show that physical exercise performed 4 hr, but not directly, after
learning improves long-term memory in humans. Such exercise was also associated with
higher consistency in hippocampal activation during memory recall. Together, these
findings…
learning improves long-term memory in humans. Such exercise was also associated with
higher consistency in hippocampal activation during memory recall. Together, these
findings…
💡 Remember Box
Physical Exercise Performed Four Hours after Learning Improves Memory Retention and Increases Hippocampal Pattern Similarity during Retrieval: Current Biology https://www.cell.com/current-biology/fulltext/S0960-9822(16)30465-1
Exercising 4h after learning enhances activation of the hippocampus & improves memory retention.
Exercising immediately after has no effect.
It makes sense to schedule learning something new at a specific time 4 hours before going to the gym.
Exercising immediately after has no effect.
It makes sense to schedule learning something new at a specific time 4 hours before going to the gym.
[2504.17033] Breaking the Sorting Barrier for Directed Single-Source Shortest Paths
https://arxiv.org/abs/2504.17033
https://arxiv.org/abs/2504.17033
arXiv.org
Breaking the Sorting Barrier for Directed Single-Source Shortest Paths
We give a deterministic $O(m\log^{2/3}n)$-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition model. This is...
Overview of Guidelines for GPAI Models | EU Artificial Intelligence Act
https://artificialintelligenceact.eu/gpai-guidelines-overview/
https://artificialintelligenceact.eu/gpai-guidelines-overview/
[2205.01351] Tooling for Time- and Space-efficient git Repository Mining
https://arxiv.org/abs/2205.01351
https://arxiv.org/abs/2205.01351
arXiv.org
Tooling for Time- and Space-efficient git Repository Mining
Software projects under version control grow with each commit, accumulating up to hundreds of thousands of commits per repository. Especially for such large projects, the traversal of a repository...
[2508.02723] Mathematical Foundations of Geometric Deep Learning
https://arxiv.org/abs/2508.02723
https://arxiv.org/abs/2508.02723
arXiv.org
Mathematical Foundations of Geometric Deep Learning
We review the key mathematical concepts necessary for studying Geometric Deep Learning.
Intellectual loneliness isn't about wanting 'deep talks.' It's about realising how few people can tolerate complexity. It's noticing how quickly people rush to have an answer not to understand, but to feel right. It's watching people form entire worldviews off headlines, vibes, and whatever reels told them last. It's the silence that follows when you say something that doesn't fit neatly into someone's script. It's not arrogance. It's exhaustion, from always having to code-switch between what you actually think and what's safe to say around people who shut down at nuance. And no one warns you: Once your brain learns to stretch, small talk doesn't just bore you, it alienates you. You're not looking for smart people. You're looking for people who are still thinking.
Creatine increases IGF-I and myogenic regulatory factor mRNA in C2C12 cells - ScienceDirect
https://www.sciencedirect.com/science/article/pii/S0014579303015047
https://www.sciencedirect.com/science/article/pii/S0014579303015047
Why LLMs Can't Really Build Software — Zed's Blog
https://zed.dev/blog/why-llms-cant-build-software
https://zed.dev/blog/why-llms-cant-build-software
zed.dev
Why LLMs Can't Really Build Software
From the Zed Blog: Writing code is only one part of effective software engineering.
"Great, now I want you to carefully read over all of the new code you just wrote and other existing code you just modified with "fresh eyes," looking super carefully for any obvious bugs, errors, problems, issues, confusion, etc."