Mide mikeFeb 8

Automated AI science labs signal a new era where AI and robotics conduct experiments, accelerate material discovery and reshape scientific research. Read the full analysis: https://aibase.ng/ai-health-fitness/the-first-automated-ai-science-lab/
#AIBase #AIBaseNig #AI #AIFuture #TechInnovation #ScienceAutomation #ResearchTrends

https://aibase.ng/ai-health-fitness/the-first-automated-ai-science-lab/

PooyaDec 12
Sometimes ‘Year’ Isn’t a Year: How Web of Science Date Fields Mislead Bibliometric Analysis https://thinkhammerly.wordpress.com/2025/12/12/wos-year/ #AcademicPublishingData, #BibliometricAnalysis, #BibliometricWorkflows, #BiblioPy, #EarlyAccess, #MetadataDiscrepancies, #PublicationYear, #ResearchTrends, #WebOfScience
Sometimes ‘Year’ Isn’t a Year: How Web of Science Date Fields Mislead Bibliometric Analysis

Web of Science mixes Early Access and Publication Year in its search results, creating misleading trends for bibliometric analysis. Here’s how the distortion works — and how to avoid it.

Think Hammerly
PooyaDec 12
Publication Year Isn’t Always What It Seems https://thinkhammerly.wordpress.com/2025/12/12/publication-year-isnt-always-what-it-seems/ #AcademicPublishingData, #BibliometricAnalysis, #BibliometricWorkflows, #BiblioPy, #EarlyAccess, #MetadataDiscrepancies, #PublicationYear, #ResearchTrends, #WebOfScience
Publication Year Isn’t Always What It Seems

Web of Science mixes Early Access and Publication Year in its search results, creating misleading trends for bibliometric analysis. Here’s how the distortion works — and how to avoid it.

Think Hammerly
N-gated Hacker NewsOct 12
🎉Breaking news: Scientists discover kids with Long Covid have #microclots (who knew blood clots could be fun-sized?!) 🤡. This "study" is so fresh, it hasn't even been peer-reviewed—because who needs verification when you have microfluidic assays to throw around like confetti? 🎈🔬
https://www.researchsquare.com/article/rs-7483367/v1 #BreakingNews #LongCovid #ScienceFun #ResearchTrends #HackerNews #ngated
Quantification of fibrinaloid clots in plasma from pediatric Long COVID patients using a microfluidic assay

Long COVID (LC) impacts one in five children after an acute SARS-CoV-2 infection. Typical LC symptoms include fatigue, brain fog, pain, and shortness of breath, which can significantly impact individuals and society. Moreover, LC may impair school performance and have long-term health and develop...

Hacker NewsSep 24

Who Funds Misfit Research?

https://blog.spec.tech/p/who-funds-misfit-research

#HackerNews #MisfitResearch #FundingAnalysis #AlternativeFunding #ResearchTrends #TechInsights

Who Funds Misfit Research?

A practical guide

Spectech Newsletter
N-gated Hacker NewsMar 27, 2025
🤔 Ah, the latest #GroundbreakingResearch from the wizards of academia: "Parameter-Free KV Cache Compression" – because who doesn’t love another impenetrable acronym party 🎉? It's so cutting-edge that even the abstract needs an abstract. Time to 🤓 "compress" this into the recycle bin! 🗑️
https://arxiv.org/abs/2503.10714 #GroundbreakingResearch #ParameterFree #Compression #Academia #TechHumor #ResearchTrends #HackerNews #ngated
ZSMerge: Zero-Shot KV Cache Compression for Memory-Efficient Long-Context LLMs

The linear growth of key-value (KV) cache memory and quadratic computational in attention mechanisms complexity pose significant bottlenecks for large language models (LLMs) in long-context processing. While existing KV cache optimization methods address these challenges through token pruning or feature merging, they often incur irreversible information loss or require costly parameter retraining. To this end, we propose ZSMerge, a dynamic KV cache compression framework designed for efficient cache management, featuring three key operations: (1) fine-grained memory allocation guided by multi-dimensional token importance metrics at head-level granularity, (2) a residual merging mechanism that preserves critical context through compensated attention scoring, and (3) a zero-shot adaptation mechanism compatible with diverse LLM architectures without requiring retraining. ZSMerge significantly enhances memory efficiency and inference speed with negligible performance degradation across LLMs. When applied to LLaMA2-7B, it demonstrates a 20:1 compression ratio for key-value cache retention (reducing memory footprint to 5\% of baseline) while sustaining comparable generation quality, coupled with triple throughput gains at extreme 54k-token contexts that eliminate out-of-memory failures. The code is available at https://github.com/SusCom-Lab/ZSMerge.

arXiv.org
Show threadIIT RoorkeeDec 29, 2023
The workshop featured an extensive program including plenary talks, keynote addresses, and a multitude of oral and poster presentations, providing a comprehensive overview of the latest advancements in the field.
#EarthSciencesWorkshop #IITRoorkeeEvent #ResearchTrends #ScienceConference #EarthScienceExperts #IITRoorkee #ScientificAdvancements #ResearchCommunity #ScienceNetworking #IIT