Over the past few years, many researchers have tried to develop techniques and technologies that can solve combinatorial optimization problems, which entail identifying an optimal item or solution within a set number of possibilities. Past studies have tackled these...
Electronics & Semiconductors
A machine learning processing engine to build flexible devices with odor recognition capabilities
In recent years, there has been an increase in the development of flexible electronics: electronic components that can be stretched and thus enable the development of smart watches, fitness trackers, or other wearable smart devices. Flexible electronics are typically...
New reconfigurable circuits for a wide range of applications
Electronic components that can process information with high levels of efficiency are crucial for the development of most contemporary devices and computational tools. Reconfigurable electronics, flexible systems that can change configurations to best utilize...
Lithium metal batteries that perform well at low temperatures
Lithium (Li) batteries, or lithium metal batteries, use metallic lithium as an anode. Over the past few decades, rechargeable Li batteries have been used to power a wide variety of electronic devices, including toys, portable consumer devices and electric vehicles.
A strategy to modulate the magnetic anisotropy of ultra-thin ferromagnets
Electrical control of the magnetism of novel two-dimensional ferromagnetic semiconductors could enable the development of new types of spintronic devices—electronic devices that leverage the intrinsic magnetic properties of electrons to transmit, store and process...
A platinum and yttrium iron garnet-based structure produces a new magnetoresistance effect
In recent years, several research teams worldwide have been trying to develop a new class of devices known as spintronics or spin transport electronics. These devices can encode, store, process and transmit data using the spin of electrons in certain materials.
A brain-inspired architecture for human gesture recognition
Researchers at Nanyang Technological University and University of Technology Sydney have recently developed a machine learning architecture that can recognize human gestures by analyzing images captured by stretchable strain sensors. The new architecture, presented in...
A hyperdimensional computing system that performs all core computations in-memory
Hyperdimensional computing (HDC) is an emerging computing approach inspired by patterns of neural activity in the human brain. This unique type of computing can allow artificial intelligence systems to retain memories and process new information based on data or...
Silicon nanowire transistors with both learning and memory functions
Neuromorphic computing entails building architectures inspired by elements of the human brain, such as neural organization and synapses. These architectures have proved to be highly promising and advantageous for a number of applications, as they can have both memory...
A reconfigurable ferroelectric field-effect transistor for frequency multiplication
Frequency multipliers, circuits that can produce signals with multiple frequencies, are essential components for a number of technological tools, particularly wireless communications systems. Most existing multipliers, however, are built using filtering and...