The hottest Science Substack posts right now

Building a strong foundation before specialized learning is important. Just like in karate, having basic skills helps in mastering advanced techniques later.
Large datasets without labels are crucial for training AI in systems biology. These datasets can help uncover hidden patterns in biology, similar to how language models learn from vast amounts of text.
Advanced AI can make healthcare more personalized and efficient. With better AI models, diagnoses may be quicker, and treatments could be more suited to each person's needs.

A webinar on Physics-informed Quantum Communication Networks is happening today.
The webinar starts in about two hours and registration is available on crowdcast.io.
If unable to attend, the recording will be shared on their YouTube channel in the coming days.

Session 14 of quantum formalism discussing Quantum Axioms & Operators
The session provided a link to physics-oriented quantum theory lectures by Aggie Branczyk
A mention of a potential fix made for a Dirac notation typo

Viz.ai receives support for cardiomyopathy-spotting AI using ECG and ML for patient conditions
Big Pharma saw recovery in 2022 shifting focus from biotechs, providing stability and risk aversion
Chan Zuckerberg Initiative expanding to Chicago biohub emphasizing precision data for biotech advancements

Lower upfront costs for an efficient electrolysis system may not always lead to overall cost-effectiveness compared to a more expensive system that is cheaper to run over time.
The choice between efficient yet expensive electrolysis systems and cheaper but less energy-efficient ones is influenced by factors like energy costs, utilization rates, and capital investments.
The growing focus on green hydrogen production, powered by renewable energy sources like wind and solar, is reshaping the energy landscape by making low-cost electrolysis approaches increasingly competitive.

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The scientific enterprise faces issues like bias, fraud, negligence, and hype that hinder knowledge building and lead to negative consequences.
Scientists often struggle with careerism, which can influence them to commit fraud, exaggerate findings, or neglect opposing evidence.
Proposed solutions to the problems in science include individual vigilance against biases, institutional and cultural reforms, and increased collaboration to transcend individual limitations.

The universe is much older than human civilization, and its history shows a trend of increasing complexity. We might soon face a singularity, which could change everything very rapidly.
After the singularity, the rate of change may slow down due to physical limits. There's a question about whether complexity could reach a peak and stay there for a very long time.
The idea of time might be different if we reach a level of intelligence that allows us to manipulate reality itself. This could lead to a future that is very strange and beyond our current understanding.