Testing Large Language Models for Optimization
Large language models (LLMs) have rapidly gained tremendous popularity since their inception, with remarkable performance in natural language processing (NLP) tasks, as well as in many other domains beyond NLP. However, whether the application of LLMs in complex numerical optimization problems is genuinely beneficial remains unexplored.
Improved Road Map Generation for Automated Vehicles
Trajectory prediction models help an AV achieve this understanding by estimating the future positions and/or intent of the agents around the vehicle. These models generally predict future trajectories based on the observed trajectories of agents, but can also utilize additional information about the agents or their environment. Recent trajectory prediction datasets provide high-definition (HD) road maps annotated by humans that additionally contain lane information. However, using human annotators is costly and can delay much-needed map updates when the static environment changes.
Advancing Neonatal Phototherapy Research
Phototherapy is a widely accepted, effective, and non-invasive treatment for neonatal jaundice (NNJ). In this common condition, a newborn has high levels of the yellow pigment bilirubin in their blood. The therapy uses controlled blue-green light to alter the structure of bilirubin, allowing the body to expel it more easily. While usually temporary and harmless, severe jaundice can cause brain damage, making phototherapy a vital treatment to prevent complications.
Wearable Tech for Mental Health Monitoring Real-Time Stress Detection Using Biometric Sensors
In the field of mental health, stress plays a significant role in many conditions, including anxiety, depression, and burnout. That’s why the ability to monitor stress in real time is highly desired as a way to take preventative action. Wearable technology is one possible way to tackle the issue since it can continuously collect passive data on physiological biomarkers that can be used to identify stress as it occurs.
Multimodal Speech Recognition for Effective Communication
The challenges associated with an aging global population—such as increased healthcare demands and shifts in workforce demographics—have become an increasingly focal point of societal concern. One of the key challenges faced by older adults is the difficulty in articulating their needs clearly due to hearing or speech impairments, which can hinder effective communication.
Scientometric Analysis of Artificial Intelligence Applications in Smart City
As anyone in a science field knows, research is critical to advancing knowledge, testing theories, and driving innovation. The authors of this paper wanted to understand the impact of research in the field of artificial intelligence on the development of smart cities.
Artificial Intelligence for Green Agriculture and Sustainable Resource Management: A Comprehensive Overview
The increasing use of Artificial Intelligence (AI) in areas related to sustainability is having a positive impact on the management of the world’s resources. From agriculture and energy to waste management and biodiversity conservation, AI is playing a key role in identifying ways to increase the efficiency of new programs.
A Streamlined Electro-Thermal-Mechanical Simulation Method for Power Semiconductor Packaging Design
Semiconductor packaging is an integral component of modern electronics, as it facilitates and controls the flow of electricity, powering advanced technologies and devices that have transformed many aspects of modern life. The emergence and rapid acceleration of technologies that rely on power devices such as smartphones, laptops, EVs, photovoltaics, and AI has created strong demand for semiconductor packaging designs that can deliver power efficiently while mitigating the significant heat that is generated during electrical switching. A critical part of bringing a new packaging design to market involves validation of these enhancements. One way to validate packaging designs is through simulation.
Electric Vehicle Charging Stations Get Off the Grid and Go Green
The inherent irony of using non-renewable energy sources such as oil, gas and coal to power Electric Vehicles (EVs) is not lost on two engineers from India. They explore a charging station method that captures and stores solar and wind energy to charge an EV and test the method in seven cases of differing weather conditions.
Pneumatic Exoskeleton with Adjustable Stiffness Facilitates Both Overhead and Forward Arm Tasks
Despite the increase of automation in industry, work-related musculoskeletal disorders are often seen in overhead and ahead working, resulting in a global occupational health issue. Exoskeletons designed to offset exertion have been introduced as a way to reduce work-related musculoskeletal disorders.
Fueling the Fourth Industrial Revolution
The Fourth Industrial Revolution is upon us, and IEEE is leading the way. Learn more about key technologies that will change the way we live in this new era and how IEEE research is fostering innovation and education in these fields.
