Cochlea network model reveals how inner ear may sort sound from noise

Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...
eLife

Tunable Bessel beam two-photon fluorescence microscopy for high-speed volumetric imaging of brain dynamics

Tunable Bessel beam two-photon fluorescence microscopy enables high-speed volumetric intravital imaging of subcellular dynamics within living mouse brains with fully tunable spatial resolution and ...

Why Hewlett Packard Enterprise Is The Ultimate Pure-Play On Enterprise AI

Hewlett Packard Enterprise is a pure-play AI infrastructure leader, benefiting from a structural shift. Find out why I rate ...
ConsumerAffairs

Has your computer been hijacked into a bot network?

One of the telltale signs that your computer has been compromised is unexplained slowdowns and constant background activity — even when you’re not using your computer. Additionally, look out for ...
Nature

Developing a custom loss function for regulating underestimation and overestimation of concrete mechanical properties predictions in neural network models

Accurate prediction of concrete properties is a critical aspect of structural engineering. Conventional neural network models, while effective in various predictive tasks, often fall short in this ...
IEEE

Outlier-Robust KalmanNet: Neural Network Aided Kalman Filtering Based on Huber Loss

Abstract: In this paper, we propose a novel Kalman filtering framework—Outlier-Robust KalmanNet—based on an outlier-robust recurrent neural network (RNN). By incorporating a robust training strategy ...
ZME Science

The World’s Strangest Computer Is Alive and It Blurs the Line Between Brains and Machines

At first glance, the idea sounds implausible: a computer made not of silicon, but of living brain cells. It’s the kind of concept that seems better suited to science fiction than to a laboratory bench ...
Forbes

Context Monsters And Dropout Layers: The Job Market As A Neural Net

Forbes contributors publish independent expert analyses and insights. Philip Maymin, a professor of analytics and AI, covers finance and AI. Is this a deep learning neural network, with blue inputs, ...
Frontiers

BLoss-DDNet: bending loss and dual-task decoding network for overlapping cell nucleus segmentation of cervical clinical LBC images

Cervical cancer has become one of the most malignant tumors that threatens women's health worldwide. Liquid-based cytology (LBC) examination has become the most common screening method for detecting ...
Nature

Multilayer nonlinear diffraction neural networks with programmable and fast ReLU activation function

Optical diffractive neural networks are emerging for improving speed and energy efficiency in machine learning. However, the challenges of nonlinear activation functions (e.g., latency issues, high ...
Forbes

Beyond Calories: How Your Body Defends Its Weight Set Point

Most people think of weight loss as a math problem: calories in versus calories out. In reality, your body sees it as a survival threat. When calorie intake falls or body fat decreases, biological ...