I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Opinion: Comcast's new motion detection technology could benefit your home, but it also raises privacy concerns. The details are in the fine print. Comcast has introduced a new opt-in motion-detection feature in its routers. Xfinity Gateway devices detect movement and alert users via a mobile app. A footnote advisory indicates law enforcement could access your motion data.

The FCC is planning to target even more products in its drone ban, including those it previously approved, and DJI has issued a call to action in response. The federal agency is proposing to prohibit models equipped with certain capabilities, like thermal imaging, LiDAR sensing and aerosol dispensing. Any new ban would not affect drones already in the hands of buyers. In a public notice posted last month, the FCC "seeks comment on extending this prohibition to categories of drones viewed by the US government as having military capability or posing particular national security risks." The proposed expansion would also restrict drones that can "integrate defense articles, those that use docking stations" and "swarming drones."

When you purchase through links in our articles, we may earn a small commission. The FCC just changed the rules for robot vacuums. Here's what it means for yours The U.S. just put new restrictions on advanced robots, and your next robot vacuum could be affected. Recently, the U.S. government announced new restrictions affecting certain "advanced robotic devices" sold in the country. According to the Federal Communications Commission, the rules cover " mobile robots, such as humanoids and quadrupeds," as well as autonomous mobile robots.

On July 28, the United States' Federal Communications Commission blocked foreign-made " advanced robotic devices " from receiving the equipment authorization needed for sale in the United States, citing supply-chain vulnerabilities and cybersecurity risks . The block applies to networked humanoids, quadrupeds, other qualifying mobile robots weighing more than 4.4 lb. In a parallel action, the FCC also restricted foreign-produced connected power inverters. Existing authorized models are unaffected for now, and exemptions or conditional approvals may be available. Meanwhile, John Moolenaar, a Michigan Republican who chairs the House Select Committee on China, told Reuters that the FCC move "protects our country and strengthens our nation's robotics industry."

Trump's AI protectionism has come for robotics The FCC has banned foreign-made humanoids, making a fragile, nascent sector part of America's AI industrial policy. Humanoid robots usually elicit more cringe than awe: They stumble, kick children, and despite advances are still worse at using their hands than my toddler. It's a nascent industry, and such robots are more commonly seen in viral videos than real workplaces or homes. It was a surprise, then, when last week the Federal Communications Commission issued a sweeping ban on foreign imports of advanced robots, including humanoids, quadrupeds, and wheeled robots. The decision, made by an increasingly partisan and Trump-aligned FCC, cites two reasons. One is that foreign-made humanoids will collect so much data--in homes but also potentially at sensitive facilities--that they'd pose a threat to national security.

This work presents a systematic investigation into the latent knowledge encoded within Network Foundation Models (NFMs). Different from existing efforts, we focus on hidden representations analysis rather than pure downstream task performance and analyze NFMs through a three-part evaluation: Embedding Geometry Analysis to assess representation space utilization, Metric Alignment Assessment to measure correspondence with domain-expert features, and Causal Sensitivity Testing to evaluate robustness to protocol perturbations. Using five diverse network datasets spanning controlled and real-world environments, we evaluate four stateof-the-art NFMs, revealing that they all exhibit significant anisotropy, inconsistent feature sensitivity patterns, an inability to separate the high-level context, payload dependency, and other properties. Our work identifies numerous limitations across all models and demonstrates that addressing them can significantly improve model performance (up to 0.35 increase in F1 scores without architectural changes).

Detecting structural change in dynamic network data has wide-ranging applications. Existing approaches typically divide the data into time bins, extract network features within each bin, and then compare these features over time. This introduces an inherent tradeoff between temporal resolution and statistical stability of the extracted features. Despite this tradeoff, reminiscent of time-frequency tradeoffs in signal processing, most methods rely on a fixed temporal resolution. Choosing an appropriate resolution parameter is typically difficult, and can be especially problematic in domains like cybersecurity, where anomalous behavior may emerge at multiple time scales.

We study the evolution of hidden-weight spectra in wide neural networks trained by (stochastic) gradient descent. We develop a two-level dynamical mean-field theory (DMFT) that jointly tracks bulk and outlier spectral dynamics for spiked ensembles whose spike directions remain statistically dependent on the random bulk. We apply this framework to two settings: (1) infinite-width nonlinear networks in mean-field/$μ$P scaling and (2) deep linear networks in the proportional high-dimensional limit, where width, input dimension, and sample size diverge with fixed ratios. Our theory predicts how outliers evolve with training time, width, output scale, and initialization variance. In deep linear networks, $μ$P yields width-consistent outlier dynamics and hyperparameter transfer, including width-stable growth of the leading NTK mode toward the edge of stability (EoS). In contrast, NTK parameterization exhibits strongly width-dependent outlier dynamics, despite converging to a stable large-width limit. We show that this bulk+outlier picture is descriptive of simple tasks with small output channels, but that tasks involving large numbers of outputs (ImageNet classification or GPT language modeling) are better described by a restructuring of the spectral bulk. We develop a toy model with extensive output channels that recapitulates this phenomenon and show that edge of the spectrum still converges for sufficiently wide networks.

Launching next week on T-Mobile's network, the cell plan takes a nuclear approach to online safety. A new US-wide cell phone network marketed to Christians is set to launch next week. It blocks porn, which experts in network security say marks the first time a US cell plan has used network-level blocking for such content that can't be turned off even by adult account owners. It's also rolling out a filter on sexual content aimed at blocking material related to gender and trans issues, which will be optional but turned on by default across all plans. The network, which is currently being tested ahead of its May 5 launch date, will be run by Radiant Mobile, a newly launched mobile virtual network operator (MVNO). These operators don't own cell towers but buy bandwidth from the big providers (in this case, T-Mobile) and sell to specific demographics (President Trump announced his own MVNO last year called Trump Mobile; CREDOMobile sends donations to progressive causes).

HTTP/3 is a new application layer protocol supported by most browsers. It uses QUIC as an underlying transport protocol. QUIC provides multiple benefits, like faster connection establishment, reduced latency, and improved connection migration. Hence, popular browsers like Chrome/Chromium, Microsoft Edge, Apple Safari, and Mozilla Firefox have started supporting it. This paper presents an HTTP/3-supported browser dataset collection tool named H3B.