Cecile G. Tamura is a journalist who writes for the Lifeboat Foundation, covering a wide range of topics related to technology, artificial intelligence, healthcare, and innovation. With a focus on the latest advancements and their potential impact on society, Cecile aims to provide insightful and thought-provoking articles to her readers.
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Cecile's coverage predominantly focuses on scientific advancements, particularly within the realms of artificial intelligence and medical technology. She frequently reports press releases and private sector announcements in these areas.
Given her high percentage of coverage for scientific themes, Cecile would likely be interested in pitches that offer expert commentary or exclusive insights related to recent breakthroughs or developments in AI, medical technology, neuroscience, and innovation. If you have access to experts who can provide valuable analysis or context around cutting-edge research or industry innovations within these fields, your pitch may pique Cecile’s interest.
While Cecile does not have a specific geographic focus mentioned, it is important to note that she covers a wide range of topics pertaining to global scientific advancements.
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By: Cecile G. Tamura
A 100+ page detailed analysis on 18 LLMs for embodied decision making.
If you ever tried cramming all your learning in one night before the exam, you know it doesn’t usually work. Surprisingly, this has little to do with the brain.
Even the biggest investors often make terrible trading decisions for their portfolios.
By: Cecile G. Tamura
Researchers have introduced a breakthrough in AI reasoning, specifically for Large Language Models (LLMs), with a method called*.
By: Cecile G. Tamura
The excessive use of computers or the fact of being detrimentally influenced by computers.
By: Cecile G. Tamura
Using data and samples from volunteers, including Kaiser Permanente Washington members participating in the Adult Changes in Thought Study (ACT Study), the researchers used advanced genomic technologies and machine learning models to create a timeline of the cellular and molecular changes caused by…
Accelerating scientific discovery with generative knowledge extraction, graph-based representation, and multimodal intelligent graph reasoning.
The enterprise AI landscape is being rewritten in real time. We surveyed 600 enterprise IT decision-makers to reveal the emerging winners and losers.
Xidong Feng, Ziyu Wan, Haotian Fu, Bo Liu, Mengyue Yang, Girish A. Koushik, Zhiyuan Hu, Ying Wen, Jun Wang.
Schrödinger’s cat, that iconic thought experiment where a cat in a box is both alive and dead until someone peeks.
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