ScienceDaily: Computers & Math News

A novel phased-array beamformer for the 5G millimeter wave (mmWave) band has been recently developed. The innovative design applies two well-known techniques -- the Doherty amplifier and digital predistortion -- to a mmWave phased-array transceiver and overcomes the issues in conventional designs, producing exceptional energy and area efficiency and outperforming other state-of-the-art 5G transceivers.

Qubits, the basic building blocks of quantum computers, are as fragile as snowflakes. Now, researchers have come up with a new way of reading out the information from certain kinds of qubits without destroying them in the process, potentially paving the way for a quantum internet.

Using artificial intelligence (AI) for warfare has been the promise of science fiction and politicians for years, but new research argues only so much can be automated and shows the value of human judgment.

For would-be quantum programmers scratching their heads over how to jump into the game as quantum computers proliferate and become publicly accessible, a new beginner's guide provides a thorough introduction to quantum algorithms and their implementation on existing hardware. Deep-diving guide explains the basics, surveys major quantum algorithms and steps through implementing them on publicly available quantum computers.

With conventional methods, it is extremely time-consuming to calculate the spectral fingerprint of larger molecules. But this is a prerequisite for correctly interpreting experimentally obtained data. Now, a team has achieved very good results in significantly less time using self-learning graphical neural networks.

Percutaneous nephrolithotomy (PCNL) is an efficient surgical intervention for removing large kidney stones. However, it is a challenging procedure that requires years of training to perform. To meet the need for quick skill-building, scientists have now developed and trialed an artificial intelligence (AI)-enabled robotic device for assisting surgeons in PCNL. Its notable features include ease of use and better accuracy in creating renal access.

Mathematicians have found that they can design a range of composite materials from moiré patterns created by rotating and stretching one lattice relative to another. Their electrical and other physical properties can change --s ometimes quite abruptly, depending on whether the resulting moiré patterns are regularly repeating or non-repeating.

The rise of artificial intelligence (AI) and machine learning (ML) has created a crisis in computing and a significant need for more hardware that is both energy-efficient and scalable. A key step in both AI and ML is making decisions based on incomplete data, the best approach for which is to output a probability for each possible answer. Current classical computers are not able to do that in an energy-efficient way, a limitation that has led to a search for novel approaches to computing. Quantum computers, which operate on qubits, may help meet these challenges, but they are extremely sensitive to their surroundings, must be kept at extremely low temperatures and are still in the early stages of development.

A novel artificial intelligence method can be used to generate high-quality 'PET/CT' images and subsequently decrease radiation exposure to the patient. The method bypasses the need for CT-based attenuation correction, potentially allowing for more frequent PET imaging to monitor disease and treatment progression without radiation exposure from CT acquisition.