The apparent weirdness of the quantum world is often exemplified by the paradox of Schrödinger’s imaginary cat that exists in a limbo state of being both alive and dead until looked upon by an observer. But in the real world we never encounter such zombie felines.
Although systems consisting of many interacting small particles can be highly complex and chaotic, some can nonetheless be described using simple theories. Does this also pertain to the world of quantum physics?
Today’s computers reach their physical limits when it comes to speed. Semiconductor components usually operate at a maximum usable frequency of a few gigahertz—which corresponds to several billion computing operations per second.
Solving the problem of error is essential for the practical application of quantum computing technologies that surpass the performance of digital computers. Information input into a qubit, the smallest unit of quantum computation, is quickly lost and error-prone.
A team of scientists has made significant progress in the ongoing quest to create new, long-lasting superheavy nuclei. These double magic nuclei, characterized by a precise number of protons and neutrons that form a highly stable configuration, are exceptionally resistant to decay.
Abstract: Recent advancements in large language models (LLMs) have sparked optimism about their potential to accelerate scientific discovery, with a growing number of works proposing research agents that autonomously generate and validate new ideas. Despite this, no evaluations have shown that LLM systems can take the very first step of producing novel, expert-level ideas, let alone perform the entire research process. We address this by establishing an experimental design that evaluates research idea generation while controlling for confounders and performs the first head-to-head comparison between expert NLP researchers and an LLM ideation agent. By recruiting over 100 NLP researchers to write novel ideas and blind reviews of both LLM and human ideas, we obtain the first statistically significant conclusion on current LLM capabilities for research ideation: we find LLM-generated ideas are judged as more novel (p < 0.05) than human expert ideas while being judged slightly weaker on feasibility. Studying our agent baselines closely, we identify open problems in building and evaluating research agents, including failures of LLM self-evaluation and their lack of diversity in generation. Finally, we acknowledge that human judgements of novelty can be difficult, even by experts, and propose an end-to-end study design which recruits researchers to execute these ideas into full projects, enabling us to study whether these novelty and feasibility judgements result in meaningful differences in research outcome.
From: Chenglei Si [view email].
It was a career-defining (and perhaps life changing) moment when Dr. Vittorio Sebastiano, a reproductive biologist by training, realized that because we are able to create life, that same body of information could be harnessed to create youth — that is, radically reverse our biological aging process to a younger time point without losing cellular identity.
In 2014, he and his lab began unpacking this epiphany. They made the radical decision to conduct their investigations in human cells and tissue rather than in rodents, with the expectation that such a start would be a better bridge to human clinical trials.
During aging, the human methylome undergoes both differential and variable shifts, accompanied by increased entropy. The distinction between variably methylated positions (VMPs) and differentially methylated positions (DMPs), their contribution to epigenetic age, and the role of cell type heterogeneity remain unclear.
We conduct a comprehensive analysis of 32,000 human blood methylomes from 56 datasets (age range = 6–101 years). We find a significant proportion of the blood methylome that is differentially methylated with age (48% DMPs; FDR 0.005) and variably methylated with age (37% VMPs; FDR 0.005), with considerable overlap between the two groups (59% of DMPs are VMPs). Bivalent and Polycomb regions become increasingly methylated and divergent between individuals, while quiescent regions lose methylation more uniformly. Both chronological and biological clocks, but not pace-of-aging clocks, show a strong enrichment for CpGs undergoing both mean and variance changes during aging. The accumulation of DMPs shifting towards a methylation fraction of 50% drives the increase in entropy, smoothening the epigenetic landscape. However, approximately a quarter of DMPs exhibit anti-entropic effects, opposing this direction of change.
Your thymus isn’t talked about much, but this small organ in your upper chest is a key component of your immune system that is solely responsible for the essential \.
Dissecting the molecular mechanism controlling the epigenetic profile of pluripotent stem cells.„, European Commission.
