To safely share spaces with humans, robots should ideally be able to detect their presence and determine where they are located, so that they can avoid accidents and collisions. So far, most robots were trained to localize humans using computer vision techniques,...
TECHXPLORE
Study unveils vulnerabilities of watermarking AI generated content
With the advent of LensaAI, ChatGPT and other highly performing generative machine learning models, the internet is now growing increasingly saturated with texts, images logos and videos created by artificial intelligence (AI). This content, broadly referred to as AI...
A Hebbian memory that achieves human-like results on sequential processing tasks
Transformers are machine learning models designed to uncover and track patterns in sequential data, such as text sequences. In recent years, these models have become increasingly sophisticated, forming the backbone of popular conversational platforms, such as ChatGPT,
Study unveils a new partially disordered phase in Li- and Mn-rich cathode materials
Lithium-ion (Li-ion) batteries are among the most widespread battery technologies worldwide, due to their light weight, high energy densities, easy fabrication process, rapid charging times and other advantageous properties. Identifying strategies that could boost...
A quantum algorithm for the segmentation of a moving target in grayscale videos
Computer vision algorithms have become increasingly advanced over the past decades, enabling the development of sophisticated technologies to monitor specific environments, detect objects of interest in video footage and uncover suspicious activities in CCTV...
A promising molecular catalyst for aqueous polysulfide-based redox flow batteries
In recent years, researchers have been exploring the potential of a wide range of new battery technologies, including so-called redox flow batteries. Redox flow batteries, also known as flow batteries, are battery cells that generate electricity and store energy via...
Highly performing metal halide perovskite solar cells fabricated in ambient air
Metal halide perovskites, solution-processable materials with advantageous optoelectronic properties, have recently emerged as suitable candidates for developing photovoltaic technology. Recent studies demonstrated metal halide perovskite-based solar cells (PSCs) with...
A new reconfigurable field-effect transistor and memory device based on a 2D heterostructure
Transistors are crucial components of most electronics on the market today, including computers, smartphones, wearables and numerous other devices. These components, generally based on semiconducting materials, are designed to switch, detect and amplify current inside...
A human-inspired robotic hand based on a modular structure
In recent years, roboticists have developed increasingly sophisticated robotic systems designed to mimic both the structure and function of the human body. This work includes robotic hands, grippers that allow robots to grasp objects and manipulate them like humans do...
Exploring the connections between Nobel laureates using network science
Network science is the study of the complex relationships and connections underpinning wide datasets, groups of individuals or other systems composed of many interacting parts. This fascinating study of connections can used to create maps and representations of...