There's a mad dash to automate the world's most hated calls. You'll hear from an AI debt collector sometime soon. She introduced herself as Eve, but Ben knew right away that the voice on the other end of the line was a bot. She also knew how much money he'd owed a former landlord ($266). She didn't seem to know that he'd settled with a collection agency five months prior. Eve said she was an AI agent from ProCollect and was calling to collect a debt.

When you purchase through links in our articles, we may earn a small commission. At $110, the Tapo MagCam 4K C465 is at its all-time low at Amazon. This solar-powered Wi-Fi security camera is as convenient as they come. The Tapo MagCam 4K C465 security camera is high-def, easy to install, and now available for 21% off. That means you can score it for just $110 at Amazon right now, which matches the all-time lowest it's ever been.

A recent attack on Sam Altman's home and OpenAI offices has put corporate security under renewed scrutiny. Records reveal how much some tech firms spend to arm up. Elon Musk called violent crime in San Francisco " horrific " and moved the offices of his social media business X outside the city in 2024 because of safety and business considerations. Other local tech companies have attempted to address their security concerns by partnering directly with cops. Airbnb and Salesforce are among businesses that for years have contracted San Francisco police to protect their offices on a regular basis, according to public records obtained by WIRED.

We introduce the Hiremath Early Detection (HED) Score, a principled, measure-theoretic evaluation criterion for quantifying the time-value of information in systems operating over non-stationary stochastic processes subject to abrupt regime transitions. Existing evaluation paradigms, chiefly the ROC/AUC framework and its downstream variants, are temporally agnostic: they assign identical credit to a detection at t + 1 and a detection at t + tau for arbitrarily large tau. This indifference to latency is a fundamental inadequacy in time-critical domains including cyber-physical security, algorithmic surveillance, and epidemiological monitoring. The HED Score resolves this by integrating a baseline-neutral, exponentially decaying kernel over the posterior probability stream of a target regime, beginning precisely at the onset of the regime shift. The resulting scalar simultaneously encodes detection acuity, temporal lead, and pre-transition calibration quality. We prove that the HED Score satisfies three axiomatic requirements: (A1) Temporal Monotonicity, (A2) Invariance to Pre-Attack Bias, and (A3) Sensitivity Decomposability. We further demonstrate that the HED Score admits a natural parametric family indexed by the Hiremath Decay Constant (lambda_H), whose domain-specific calibration constitutes the Hiremath Standard Table. As an empirical vehicle, we present PARD-SSM (Probabilistic Anomaly and Regime Detection via Switching State-Space Models), which couples fractional Stochastic Differential Equations (fSDEs) with a Switching Linear Dynamical System (S-LDS) inference backend. On the NSL-KDD benchmark, PARD-SSM achieves a HED Score of 0.0643, representing a 388.8 percent improvement over a Random Forest baseline (0.0132), with statistical significance confirmed via block-bootstrap resampling (p < 0.001). We propose the HED Score as the successor evaluation standard to ROC/AUC.

You don't have to upload your video to the cloud or pay a monthly fee to secure your home. In the age of state surveillance, with big tech trampling our data privacy rights and gouging us for every penny, there are plenty of reasons to keep your security camera footage local. Whether you want to save money or ensure your video doesn't end up in the hands of persons (or AI) unknown, subscription-free security cameras are the way to go. The good news is that locally recording security cameras are better than ever. I've been testing security cameras for a decade, and the gap between the best cloud-connected and local cameras is closing. You don't necessarily have to give up the best features to shirk that subscription anymore.

Neural Information Processing Systems http://nips.cc/

When you purchase through links in our articles, we may earn a small commission. BotsLab 4-Cam W510 System review: This security package doesn't deliver Four 4K cameras, a base station with expandable local storage, and no subscription required, So, what's the catch? This four-camera system impresses with solid video quality and expandable local storage, but only when those cameras are in such close range that they probably won't provide full coverage of your property. Outfitting your home with outdoor security cameras can get complicated--and expensive--quickly. Anyone looking for a shortcut on both fronts might consider one of BotsLab's W510 kits, bundles consisting of up to six 4K outdoor pan/tilt security cameras, solar panels to keep each camera's battery topped off, and a base station with 32GB of onboard storage (expandable up to 16TB with a user-supplied 2.5 hard drive).

Light up and secure your driveway, backyard, or porch with a floodlight security camera. Floodlight security cameras are a great way to light up your property. Shady areas around your home can make life easier for would-be burglars, and make it harder for you to plug in the car or take out the trash. Motion-triggered lighting is an essential minimum, but with a floodlight security camera, you get that a videofeed. Floodlight cameras are also far more configurable and reliable than lights; they let you check in on your property from the office or bed, and they can alert you to intruders. While this guide covers floodlight security cameras, we also have guides to the Best Outdoor Security Cameras, Best Indoor Security Cameras, and Best Video Doorbells .

When you purchase through links in our articles, we may earn a small commission. Most floodlight cams need hardwired power, limiting your installation options. This battery-powered model can go anywhere, and it has a solar panel, too! Single floodlight isn't as bright as you get with hardwired models Despite a couple of minor bugs, this low-cost, battery-powered floodlight camera knocks it out of the park in most respects. The "Kit" in TP-Link Tapo C615F Kit refers to the inclusion of a solar panel that comes with this full-featured security camera/floodlight combo to keep its battery charged.

Learning to detect content-independent transformations from data is one of the central problems in biological and artificial intelligence. An example of such problem is unsupervised learning of a visual motion detector from pairs of consecutive video frames. Rao and Ruderman formulated this problem in terms of learning infinitesimal transformation operators (Lie group generators) via minimizing image reconstruction error. Unfortunately, it is difficult to map their model onto a biologically plausible neural network (NN) with local learning rules. Here we propose a biologically plausible model of motion detection. We also adopt the transformation-operator approach but, instead of reconstruction-error minimization, start with a similarity-preserving objective function.