19 Best Camera Bags, Straps, Inserts, and Backpacks (2022)
Tote your photo and video gear around in style. We tested more than 60 packs and rounded up our favorites.
Hinge Will Try to Thwart Scammers With Video Verification
To combat the scourge of bots and fake accounts, the dating site will ask users to prove their humanity by capturing a video selfie.
8 Best Laptop Deals Right Now (2022): Cheap Laptops, MacBooks, Accessories
Whether you’re looking for an all-arounder, a gaming powerhouse, or a wallet-friendly machine, we’ve found discounts from trusted retailers.
Petivity Smart Litterbox Monitor Review: Helpful Health Alerts
Keep tabs on your cat’s bathroom habits—and catch potential health issues early—with this scale and app developed by Purina.
Sustainable Farming Has an Unlikely Ally: Satellites
Growers are using images taken from space to quantify how much carbon is stored in their soil and validate the credits they’re selling.
Magnetic sensors track muscle length
Researchers demonstrated a magnet-based system that can track the location of muscles and could be used to help people control prosthetic limbs and other wearable robotic devices.
A reinforcement learning-based four-legged robotic goalkeeper
Researchers at the Hybrid Robotics Group at UC Berkeley, Simon Fraser University and Georgia Institute of Technology have recently created a reinforcement learning model that allows a quadrupedal robot to efficiently play soccer in the role of goalkeeper. The model introduced in a paper pre-published on arXiv, improves the robot’s skills over time, through a …
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Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures
his paper considers the Pointer Value Retrieval (PVR) benchmark introduced in [ZRKB21], where a `reasoning’ function acts on a string of digits to produce the label. More generally, the paper considers the learning of logical functions with gradient descent (GD) on neural networks. It is first shown that in order to learn logical functions with …
Latent Temporal Flows for Multivariate Analysis of Wearables Data
Increased use of sensor signals from wearable devices as rich sources of physiological data has sparked growing interest in developing health monitoring systems to identify changes in an individual’s health profile. Indeed, machine learning models for sensor signals have enabled a diverse range of healthcare related applications including early detection of abnormalities, fertility tracking, and …
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Fusion-Id: A Photoplethysmography and Motion Sensor Fusion Biometric Authenticator With Few-Shot on-Boarding
The abundance of wrist-worn heart rate measuring devices enables long term cardiovascular monitoring through photoplethysmography (PPG). Such signals contain unique identifiable information that can help in biometric authentication. In this work, we propose Fusion-ID, which use wrist-worn PPG sensors fused with motion sensor data as a way to do bio authentication on wrist worn devices. …