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Trill News

STEM

Science · Technology · Engineering · Math · Futurism · Programming

From gene-editing revolutions at Harvard and quantum mechanics challenges to AI training programs hidden inside mobile games and ancient pyramid engineering mysteries, Trill News covers the full frontier of science, technology, engineering, and mathematics. We report on discoveries, innovations, and the futurist ideas — in AI, space exploration, medicine, and programming — that will define how humanity advances.

STEM LATEST STORY

From Ancient Rituals to Modern Medicine the History of Scent

National Library of Medicine

Olfaction is a biologically unique and ancient sense capable of continuous neural regeneration, serving as a critical bridge between human evolutionary history and emotional well-being. Modern medicine increasingly recognizes olfactory dysfunction as a vital early biomarker for neurodegenerative diseases like Alzheimer’s and Parkinson’s, prompting calls for its standard inclusion in clinical diagnostics.

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STEM

Hydropower Shortfall Leads to Record Global Emissions in 2023

MIT Technology Review

Global energy-related CO2 emissions hit a record 37.4 billion tonnes in 2023, a rise of 1.1% over the previous year, according to data from the International Energy Agency. A major driver was an unprecedented shortfall in hydroelectric power generation caused by severe droughts in China, North America, and other regions — droughts worsened by El Niño conditions. That hydropower shortfall alone contributed roughly 170 million additional tonnes of CO2 as fossil fuels stepped in to fill the gap.

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STEM

Apple Enhances iMessage Security Against Quantum Computing Threat

TechCrunch

Apple announced in February 2024 that it would upgrade iMessage's encryption protocol to defend against future quantum computing attacks, introducing a new system called PQ3. The protocol combines Kyber, a post-quantum cryptographic algorithm, with existing elliptic curve cryptography to achieve what Apple described as "Level 3" security — the highest claimed by any messaging platform at the time.

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STEM

How Large Language Models Develop Unexpected Skills

Topics in Cognitive Science

Large language models (LLMs) have been observed to develop unexpected and emergent capabilities that were not explicitly programmed and did not appear in smaller versions of the same architectures. These emergent abilities — including in-context learning, multi-step arithmetic reasoning, instruction following, and rudimentary theory of mind — tend to appear suddenly at certain scales of model size, a phenomenon researchers have described as a phase transition rather than a gradual improvement.

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