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July 11 in Longevity and AI

Gathered globally: 5, selected: 5.

The News Aggregator is an artificial intelligence system that gathers and filters global news on longevity and artificial intelligence, and provides tailored multilingual content of varying sophistication to help users understand what's happening in the world of longevity and AI.


Researchers at Macau University of Science and Technology discover ZYZ-384, a potent SMYD3 inhibitor that suppresses H3K4 trimethylation to lower senescence markers in human endothelial cells and mouse aging models, restoring cell proliferation and tissue function.

Key points

  • ZYZ-384 selectively inhibits SMYD3 histone methyltransferase, reducing H3K4me3 in endothelial cells.
  • Administered in vitro (HMEC-1, SVEC4-10) and in vivo (D-galactose and natural aging mouse models) to evaluate anti-senescence.
  • Results show reduced p16/p21, lowered SASP cytokines, improved cell proliferation and motor performance.

Why it matters: This targeted SMYD3 inhibitor offers a novel epigenetic approach to slow aging processes and improve healthspan.

Q&A

  • What is SMYD3?
  • How does ZYZ-384 inhibit aging?
  • Why use the D-galactose model?
  • What is SASP and its relevance?
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Small molecule compound ZYZ-384 targets SMYD3 to alleviate aging

A team led by Poornima University integrates CNN-LSTM weather forecasts, XGBoost energy predictions, and Deep Q-Learning control into COMLAT, an AI-driven solar tracker that dynamically selects static, single-axis, or dual-axis modes to boost farm output under changing climate conditions.

Key points

  • COMLAT integrates CNN-LSTM for 10-day ahead irradiance forecasting with a 23.5 W/m² RMSE and 95% confidence intervals.
  • XGBoost regression models energy yield for static, single-axis, or dual-axis modes with R² 0.94 accuracy from climatic and orientation inputs.
  • Deep Q-Learning controller selects tracking mode in under 1 s, balancing energy gain against movement cost, boosting output by up to 55% versus fixed panels.

Why it matters: Integrating climate forecasting and reinforcement learning into solar tracking marks a paradigm shift toward resilient, high-yield renewable energy systems under variable weather.

Q&A

  • What is COMLAT?
  • How does CNN-LSTM forecast irradiance?
  • Why use XGBoost for energy prediction?
  • What role does Deep Q-Learning play?
  • What benefits arise from adaptive tracking?
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A machine learning approach to assess the climate change impacts on single and dual-axis tracking photovoltaic systems

An Emory University team demonstrates that psilocin extends human skin and lung cell lifespans by over 50% and enhances survival by 30% in aged mice. Using an initial low dose followed by monthly higher doses, the study shows reduced oxidative stress, improved DNA repair, and preserved telomere length, indicating systemic anti-aging effects of psilocybin compounds.

Key points

  • Psilocin extends human skin and lung fibroblast lifespan by over 50% in vitro.
  • Aged mice receiving 5 mg initial and monthly 15 mg psilocybin show a 30% survival increase and improved physical health.
  • Mechanistic assays reveal reduced ROS, enhanced DNA repair, and preserved telomere integrity via serotonin receptor pathways.

Why it matters: This study uncovers a new small-molecule intervention that targets core aging hallmarks, promising paradigm shifts in anti-aging therapeutics.

Q&A

  • What are psilocybin and psilocin?
  • How does oxidative stress contribute to aging?
  • What role do telomeres play in cellular aging?
  • How translatable are mouse aging findings to humans?
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Psilocybin may have potential to revolutionize anti - aging therapies

South African healthcare executives leverage advanced AI solutions, including remote patient monitoring systems and AI-driven diagnostic imaging, to enhance clinical decision-making, optimize resource allocation, and expand access to preventive and in-hospital care.

Key points

  • AI-driven mobile X-ray units screen for tuberculosis in high-risk communities, enabling early detection of asymptomatic cases.
  • AI-based clinical decision support tools augment treatment planning, in-hospital monitoring, and preventive care, addressing workforce shortages.
  • Predictive analytics optimize patient admission forecasts and resource allocation, improving operational efficiency under infrastructure constraints.

Why it matters: This AI-driven shift enhances diagnostic accuracy, optimizes resource use, and establishes a scalable model for resilient, high-quality healthcare delivery under limited resources.

Q&A

  • What is remote patient monitoring?
  • How does AI aid tuberculosis screening?
  • What are AI-driven clinical decision support systems?
  • How does AI personalize patient care?
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Astute Analytica predicts that the global AI in semiconductor market will expand from US$ 71.91 billion in 2024 to US$ 321.66 billion by 2033, driven by transformer inference compute demand, innovations such as TSMC’s chip-on-wafer-on-substrate flow and Intel’s Foveros Direct, and strong hyperscaler and edge AI growth.

Key points

  • Market value escalates from US$ 71.91 billion (2024) to US$ 321.66 billion (2033) at 18.11% CAGR.
  • Advanced packaging: TSMC’s CoWoS and Intel’s Foveros Direct hybrid bonding drive performance and power gains.
  • Foundry expansions: TSMC, Samsung and Intel add over four million sub-5 nm wafer starts annually for AI demand.

Q&A

  • What factors drive the AI in semiconductor market?
  • What is chip-on-wafer-on-substrate (CoWoS)?
  • How does Intel’s Foveros Direct differ from other packaging methods?
  • Why are foundry capacity expansions critical for AI?
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Artificial Intelligence (AI) in Semiconductor Market to