Results 171 to 180 of about 19,322 (256)

Decoding disparities: evaluating automatic speech recognition system performance in transcribing Black and White patient verbal communication with nurses in home healthcare. [PDF]

open access: yesJAMIA Open
Zolnoori M   +15 more
europepmc   +1 more source

Automatic speech recognition: Speech-to-Speech Translation

open access: yesAutomatic speech recognition: Speech-to-Speech Translation
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

open access: yesAdvanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo   +6 more
wiley   +1 more source

Highly Sensitive and Temperature‐Insensitive Stretchable Strain Sensor with Microcrack‐Engineered Architecture

open access: yesAdvanced Science, EarlyView.
This study proposes a stretchable strain sensor that demonstrates a high gauge factor of 2.3 × 104 and excellent linearity (R2 = 0.98), while maintaining temperature insensitivity under applied strain. This performance is achieved through a microcrack architecture formed by stacking a brittle, low‐resistance material with a stretchable, high‐resistance
Yu Kato   +4 more
wiley   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

open access: yesAdvanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang   +9 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model

open access: yesAdvanced Science, EarlyView.
Understanding protein sequence–function relationships remains challenging due to poorly defined motifs and limited residue‐level annotations. An annotation‐agnostic framework is introduced that segments protein sequences into “protein words” using attention patterns from protein language models.
Hedi Chen   +9 more
wiley   +1 more source

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