Making Better Human Decisions: AI Is Shaking Up the Early Stages of Lateral Hiring

More and more firms and outside recruiters are turning to predictive analytics, candidate scoring, social media scraping and pattern recognition to move faster—and the terrain is shifting rapidly.
The Print

KRAFTON Appoints Kangwook Lee as Chief AI Officer

KRAFTON, Inc. has announced the appointment of Kangwook Lee, Head of KRAFTON AI, as Chief AI Officer (CAIO), a newly established executive role designed to oversee the company’s AI R&D and mid-to-long ...
IEEE

Human Action Recognition – Analysis of Deep Learning Methods

Human Action Recognition (HAR) is significant in many areas, including surveillance security, healthcare services, and industry monitoring. HAR systems automatically learn the data captured by sensors ...
PsyPost on MSN

Scientists use machine learning to control specific brain circuits

A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal ...
Scientific Research Publishing

Building an AI-Integrated Braille Recognition Model for Blind Education: From Mechanical Devices to Personalized Learning Systems ()

The context of inclusive education for blind people lacks suitable learning materials and traditional devices are difficult to expand, creating a need for a personalized technological solution. This ...
Medical Xpress

Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...
usace.army.mil

Army establishes new AI, machine learning career path for officers

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
IEEE

A Comparative Analysis of Human Activity Recognition Using Machine Learning and Deep Learning Techniques

Abstract: Human activity recognition (HAR) constitutes a significant subfield of artificial intelligence, addressing diverse problems such as improving human health and advancing innovative technology ...
Morningstar

Machine Learning Can Forecast Which Stock Factors Will Outperform

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
C&EN

Smart and Low-Cost Flexible Strain Sensor Based on Graphene-MWCNT Porous Elastic Sponge for Home Control and Object Grasping Recognition Using Machine Learning

School of Physics and Optoelectric Engineering, Guangdong University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, P. R. China Guangdong Provincial Key Laboratory of Sensing ...
Frontiers

Convolutional spatio-temporal sequential inference model for human interaction behavior recognition

1 School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, China 2 School of Computer Science and Technology, Taiyuan University of Science and Technology (TYUST), Taiyuan, ...