PWM

Combining algorithms and client goals

While it is vital for investment firms to focus on clients, asset management entrepreneur Adina Grigoriu refuses to ditch ...
Medindia

Risks Under Control: Olga Dobrenko's Comprehensive Approach to Patient Safety in Critical Care Medicine

An anesthesiologist-intensivist proposes integrating big data, ultrasound stratification, and triple monitoring to reduce risks in the operating room and ICU.
IPWatchdog

Other Barks & Bites for Friday, January 9: Eleventh Circuit Applies Section 512(c) Safe Harbor to YouTube; Ninth Circuit Says Apple’s Prevention of Access to Heart Rate D…

Bites (noun): more meaty news to sink your teeth into. Barks (noun): peripheral noise worth your attention. Want to have your ...
IEEE

Efficient Data Structures and Algorithms for Cloud Computing Platforms

Abstract: The extensive adoption of cloud computing platforms in storing and processing data have brought forth a new age of efficiency in the way data is stored, processed and managed, requiring new ...
The New York Times

On the Labor and Delivery Floor, a Reporter Sees a Solution

C-sections can be lifesaving, but sometimes the procedure can be overused. Data helped show how a hospital decreased its rates of the operation in healthy first-time mothers. By Sarah Kliff Times ...
C&EN

Overcoming Small Data Limitations in Materials Informatics: Interpretable Predictive Modeling of Optical Limiting Efficiency Using the CORRELATO Algorithm

Russian Academy of Sciences, FSBIS Institute of Physiologically Active Compounds of the Russian Academy of Sciences, 1, Severny Proezd, Chernogolovka 142432, Russian Federation Russian Academy of ...
JD Supra

The Daily AI Routine: A Practicum for Using AI Tools in Context - in Business and IP Litigation

This blog post and audio file is another in the series "Defending the Algorithm™" written, edited and narrated by Pittsburgh, Pennsylvania Business, IP and AI Trial Lawyer Henry M. Sneath, Esq. and ...
SciELO

Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach

Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
Frontiers

Intelligent maneuver decision-making for UAVs using the TD3–LSTM reinforcement learning algorithm under uncertain information

Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...
Scientific Research Publishing

Ng, H.P., Ong, S.H., Foong, K.W.C., Goh, P.S. and Nowinski, W.L. Medical Image Segmentation Using K-Means Clustering and Improved Watershed Algorithm. 2006 IEEE Southwest ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...
BMJ

Efficacy and safety of an algorithm using C-reactive protein to guide antibiotic therapy applied through a digital clinical decision support system: a study protocol for a ...

Introduction The escalating resistance of microorganisms to antimicrobials poses a significant public health threat. Strategies that use biomarkers to guide antimicrobial therapy—most notably ...