Wi-Fi
PulseAugur coverage of Wi-Fi — every cluster mentioning Wi-Fi across labs, papers, and developer communities, ranked by signal.
7 天有情绪数据
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Wi-Fi routers can identify people with 99.5% accuracy using beamforming data
Security researchers have developed a new technique called BFId that can identify individuals using standard Wi-Fi routers with 99.5% accuracy. This method exploits unencrypted beamforming feedback information (BFI) bro…
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CMU researchers track movement through walls using cheap Wi-Fi
Researchers at Carnegie Mellon University have created a novel Wi-Fi system capable of tracking human movement through walls and solid objects. This system utilizes inexpensive $30 Wi-Fi routers and receivers, eliminati…
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Wi-Fi speed emerges as new bottleneck for AI adoption
The speed of Wi-Fi networks is emerging as a significant bottleneck for the widespread adoption and effective use of artificial intelligence technologies. As AI applications become more data-intensive and require faster…
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New AMAR framework uses Wi-Fi CSI for multi-user activity recognition
Researchers have developed AMAR, a novel attention-based framework for recognizing multiple human activities simultaneously using Wi-Fi channel state information (CSI). This system addresses the challenge of overlapping…
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IoT 2.0 demands real-time analytics, edge AI, and advanced connectivity
The Internet of Things (IoT) is evolving into IoT 2.0, requiring connected systems to not only collect data but also interpret and act on it in real-time. This shift is driven by the integration of edge computing and ar…
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Auracast poised to become essential audio infrastructure like WiFi
Auracast, a new Bluetooth LE Audio broadcast standard, is poised to become essential audio infrastructure, similar to WiFi's adoption. This technology allows a single audio source to stream to an unlimited number of com…
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SwitchBot launches new smart locks with facial recognition and Matter support
SwitchBot has released two new smart locks, the Lock Vision and Lock Vision Pro, featuring 3D facial recognition for unlocking doors. These locks are designed to work with Apple's HomeKit ecosystem and support Matter ov…
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RuView AI uses WiFi to detect and track human presence
RuView is a new AI-powered system designed to detect human presence using WiFi signals. It can differentiate between humans and other objects, and even identify individual people. The system is capable of tracking multi…
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NVENC Bridge Enables Multi-GPU AI Over Ethernet, Bypassing NVLink
Researchers have developed a custom NVENC encoder bridge that allows multiple GPUs to be linked over standard Ethernet or Wi-Fi, bypassing the need for expensive NVLink hardware. This innovation enables the splitting of…
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Enterprise Wi-Fi lags behind AI demands, hindering adoption
Most enterprises have not upgraded their Wi-Fi networks to current standards, meaning their infrastructure predates the widespread development of AI agents and modern inference workloads. This outdated networking techno…
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Roku App Lag: Simple Fixes Before Blaming Wi-Fi
Users experiencing slow loading times on Roku devices may not need to blame their Wi-Fi connection. Several sources suggest that issues with Roku apps can often be resolved with simple fixes. These include clearing the …
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MU-SHOT-Fi framework adapts Wi-Fi sensing models to new environments
Researchers have developed MU-SHOT-Fi, a novel framework for Wi-Fi sensing that improves human activity recognition in multi-user environments. This method addresses challenges in generalizing deep learning models acros…
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New WiFi fall detection system uses AI to adapt to unseen environments
Researchers have developed a novel framework for device-free fall detection using WiFi Channel State Information (CSI). The system employs an Attention-Enhanced CNN-Transformer hybrid architecture to overcome performanc…
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DRL framework optimizes NR-U/Wi-Fi coexistence for fairness and throughput
Researchers have developed a policy-driven deep reinforcement learning framework to manage resource allocation between NR-U and Wi-Fi networks operating in unlicensed spectrum. This framework uses a deep Q-network to le…
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ViFiCon uses self-supervised learning for vision-wireless association
Researchers have developed ViFiCon, a novel self-supervised contrastive learning method that establishes associations between visual data and wireless signals. The system utilizes pedestrian data from RGB-D cameras and …