To complete real-world tasks in home environments, offices and public spaces, robots should be able to effectively grasp and manipulate a wide range of objects. In recent years, developers have created various machine learning–based models designed to enable skilled...
TECHXPLORE
A new approach to efficiently model the acoustics of an environment
Augmented reality (AR) and virtual reality (VR) are designed to artificially reproduce the experience of navigating certain environments. In recent years, videogame and entertainment companies have been producing increasingly immersive content that can be accessed...
An adhering, pure conducting polymer hydrogel for medical applications
The rapid advancement of electronics and artificial intelligence (AI) tools have opened interesting opportunities for the development of technologies for a wide range of applications. These include implantable devices designed to support the treatment of medical...
A new model to produce more natural synthesized speech
Recent technological advances are enabling the development of computational tools that could significantly improve the quality of life of individuals with disabilities or sensory impairments. These include so-called electromyography-to-speech (ETS) conversion models,...
An approach to enable both locomotion and manipulation in a snake-inspired robot
Snake-inspired robots could have various advantages over conventional wheeled or legged robots. For instance, slithering robots can adapt the shape of their body, enter narrow spaces, and move freely in environments that are inaccessible to both humans and other robots.
Extending the lifespan of lithium-metal batteries using a fluorinated ether diluent
The design of battery technologies with increasingly longer lifespans could help to meet the growing needs of the electronics and automotive industry. Lithium (Li) batteries are the most widely used rechargeable batteries worldwide. Thus, devising strategies that can...
A method to generate predictor circuits for the classification of tabular data
Deep learning techniques have become increasingly advanced over the past few years, reaching human-level accuracy on a wide range of tasks, including image classification and natural language processing.
A method to mitigate hallucinations in large language models
Large language models (LLMs), artificial neural networks-based architectures that can process, generate and manipulate texts in various human languages, have recently become increasingly widespread. These models are now being used in a wide range of settings, to...
Tackling long-range malware detection tasks using holographic global convolutional networks
Over the past few decades, cyber-attackers have devised increasingly sophisticated malware that can disrupt the functioning of computer systems or grant them access to sensitive data. The development of techniques that can reliably detect the presence of malware and...
Electronics engineers successfully integrate MoS₂ transistors on a 200 mm wafer
In recent years, electronics engineers have been trying to design increasingly sophisticated transistors that can be scaled down to smaller sizes. Given the limitations of conventional silicon-based field effect transistors (FETs), some teams have been experimenting...