Synaptic Resistor Circuits Based on Al Oxide and Ti Silicide for Concurrent Learning and Signal Processing in Artificial Intelligence Systems.

Neurobiological circuits containing synapses can process signals while learning concurrently in real time. Before an artificial neural network (ANN) can execute a signal-processing program, it must first be programmed by humans or trained with respect to a large and defined data set during learning processes, resulting in significant latency, high power consumption, and poor adaptability to unpredictable changing environments. In this work, a crossbar circuit of synaptic resistors (synstors) is reported, each synstor integrating a Si channel with an Al oxide memory layer and Ti silicide Schottky contacts.

A Case Series of Elizabethkingia meningosepticum Bacteremia in the Cancer Population.

( ) is a ubiquitous microorganism previously known as It is emerging as a pathogen responsible for bacteremia in the immunocompromised population, particularly in cancer patients and those with a history of prolonged hospital stay and frequent instrumentations. A retrospective chart review of all cases over 10 years at the Moffitt Cancer Center showed a total of three patients with infection. The first patient (history of multiple myeloma) underwent endoscopy complicated by aspiration pneumonia and positive blood culture for infection.

Synaptic Resistors for Concurrent Inference and Learning with High Energy Efficiency.

The fastest supercomputer, Summit, has a speed comparable to the human brain, but is much less energy-efficient (≈10 FLOPS W , floating point operations per second per watt) than the brain (≈10 FLOPS W ). The brain processes and learns from "big data" concurrently via trillions of synapses in parallel analog mode. By contrast, computers execute algorithms on physically separated logic and memory transistors in serial digital mode, which fundamentally restrains computers from handling "big data" efficiently.

Paragonimiasis in tuberculosis patients in Nagaland, India.

Background: One of the infections that mimic tuberculosis (TB) is paragonimiasis (PRG), a foodborne parasitic disease caused by lung flukes of the genus . In the northeastern states of India, TB and PRG are endemic; however, PRG is rarely included in the differential diagnosis of TB.

Objective: To address limited evidence on the dual burden of TB and PRG in northeastern India, we aimed to document the prevalence of PRG among TB patients using sputum smear, stool examination for children <15 years and ELISA.

Self-administered tuberculosis treatment outcomes in a tribal population on the indo-myanmar border, Nagaland, India.

Background: Multiple strategies are being adopted by national tuberculosis (TB) programmes to achieve universal coverage of tuberculosis treatment. However, populations living in 'hard-to-reach' areas of north-east India have poor access to health services. Our study aimed to detail treatment outcomes in TB program supported by Médecins Sans Frontières (MSF) and using an alternative model of TB treatment delivery in Mon district, Nagaland, India.