Energy
99 Prime Day Deals on Gear We Stand By, Up To 50% Off (2026)
The 99 Absolute Best Prime Day Deals We'd Spend Our Own Money On We've gone from A to Z to find Amazon's best Prime Day deals on the gear worth owning. Amazon Prime Day is here once again. Amazon's annual Prime Day deals aims to entice us with an endless scroll of "discounts (some real, many fake), hammering away with red slashes, big percentages off, and coupons you can only see after adding to cart. While Prime Day deals aren't what they once were--its success has inspired a massive number of fake deals and attracted obscure brands--there are still some very significant discounts to be found. For the next four days, the WIRED Reviews team will be pooling our hundreds of years of collective expertise to find actual savings on products we have personally tested and approved. Let us absorb the neon signage and "buy now" buttons on your behalf and share the deals worth sharing. We'll keep this list updated frequently for the duration of the sale, which runs from June 23 to June 26. This is our very favorite MagSafe power bank . Wireless and MagSafe charging aren't always the fastest or most efficient, but despite its bulk, this large-capacity bank can top off modern phones once (or maybe a little more than that) without overheating or taking forever. One of the best budget wireless chargers is even more affordable thanks to Prime Day. You can buy fancier, faster wireless chargers, but if you just want a simple option that'll top off your phone, this is worth checking out. It can deliver up to 10 watts, though you'll need to supply your own wall adapter. Want something that can fast charge your phone, juice up your tablet, and even refill your laptop? This generous 25,000-mAh capacity can do it all, but stops shy of the carry-on air travel limit. The maximum output is 165 watts for two devices, but 100 watts for a single device. It has lovely rounded edges, a retractable, flat, 2.3-foot USB-C cable on the top, and a snazzy, durable, braided 1-foot USB-C cable that doubles as a carry loop. Unlike so many Windows laptops around $500, the OmniBook 3 has excellent performance and battery life. And while the touchpad isn't the best, the specs alone make it the very best cheap laptop you can buy. You have to be careful when buying Chromebooks these days.
Ukraine attacks on Russian-occupied Crimea trigger power cuts in Sevastopol
Is the war entering a new phase? Ukrainian strikes on Russian-occupied Crimea have triggered power outages in its largest city, Sevastopol, according to statements from both sides, as Kyiv intensifies attacks on the peninsula Moscow annexed in 2014. Crimea has been forced to suspend fuel sales to the public as Ukraine's army targets Russian logistics to the region and has hit a series of oil refineries and depots across southern Russia that provide supplies. "The enemy is once again striking treacherously, attempting to deprive us of normal living conditions and sow panic," he posted. He said some areas of the city - where temperatures are approaching 30 degrees Celsius (86 degrees Fahrenheit) - would be without power until at least Wednesday evening.
129 Prime Day Deals on Gear We've Tested and Would Spend Our Own Money On
We've gone from A to Z to find Amazon's best Prime Day deals on the gear worth owning. Amazon Prime Day is here once again. Amazon's annual Prime Day deals aims to entice us with an endless scroll of "discounts (some real, many fake), hammering away with red slashes, big percentages off, and coupons you can only see after adding to cart. While Prime Day deals aren't what they once were--its success has inspired a massive number of fake deals and attracted obscure brands--there are still some very significant discounts to be found. For the next four days, the WIRED Reviews team will be pooling our hundreds of years of collective expertise to find actual savings on products we have personally tested and approved. Let us absorb the neon signage and "buy now" buttons on your behalf and share the deals worth sharing. We'll keep this list updated frequently for the duration of the sale, which runs from June 23 to June 26. This is our very favorite MagSafe power bank . Wireless and MagSafe charging aren't always the fastest or most efficient, but despite its bulk, this large-capacity bank can top off modern phones once (or maybe a little more than that) without overheating or taking forever. One of the best budget wireless chargers is even more affordable thanks to Prime Day. You can buy fancier, faster wireless chargers, but if you just want a simple option that'll top off your phone, this is worth checking out. It can deliver up to 10 watts, though you'll need to supply your own wall adapter. Want something that can fast charge your phone, juice up your tablet, and even refill your laptop? This generous 25,000-mAh capacity can do it all, but stops shy of the carry-on air travel limit. The maximum output is 165 watts for two devices, but 100 watts for a single device. It has lovely rounded edges, a retractable, flat, 2.3-foot USB-C cable on the top, and a snazzy, durable, braided 1-foot USB-C cable that doubles as a carry loop. This remains one of my favorite Windows laptops, despite the recent price increases. But now, it's unexpectedly dropped to $835 for Prime Day, making it the best laptop Prime Day deal I've found so far. Price aside, though, my favorite feature is the 3:2 aspect ratio screen, which also has a faster 120-Hz refresh rate. It's absolutely gorgeous, and all the extra vertical screen space gives more room to work with. A new version just got announced with a more powerful Snapdragon X2 chip inside, but it's considerably more expensive . Unlike so many Windows laptops around $500, the OmniBook 3 has excellent performance and battery life. And while the touchpad isn't the best, the specs alone make it the very best cheap laptop you can buy. This gaming laptop has a big advantage over many others at this price. But the display, build quality, keyboard, and touchpad are a solid step up over even some of my favorite budget gaming laptops.
Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
As the era of autonomous agents making decisions on behalf of users unfolds, ensuring contextual integrity (CI) - what is the appropriate information to share while carrying out a certain task - becomes a central question to the field. We posit that CI demands a form of reasoning where the agent needs to reason about the context in which it is operating. To test this, we first prompt LLMs to reason explicitly about CI when deciding what information to disclose. We then extend this approach by developing a reinforcement learning (RL) framework that further instills in models the reasoning necessary to achieve CI. Using a synthetic, automatically created, dataset of only 700 examples but with diverse contexts and information disclosure norms, we show that our method substantially reduces inappropriate information disclosure while maintaining task performance across multiple model sizes and families. Importantly, improvements transfer from this synthetic dataset to established CI benchmarks such as PrivacyLens that has human annotations and evaluates privacy leakage of AI assistants in actions and tool calls. Our code is available at: https://github.com/EricGLan/CI-RL
Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks
Signal Temporal Logic (STL) is a powerful specification language for describing complex temporal behaviors of continuous signals, making it well-suited for highlevel robotic task descriptions. However, generating executable plans for STL tasks is challenging, as it requires consideration of the coupling between the task specification and the system dynamics. Existing approaches either follow a modelbased setting that explicitly requires knowledge of the system dynamics or adopt a task-oriented data-driven approach to learn plans for specific tasks. In this work, we address the problem of generating executable STL plans for systems with unknown dynamics. We propose a hierarchical planning framework that enables zero-shot generalization to new STL tasks by leveraging only task-agnostic trajectory data during offline training. The framework consists of three key components: (i) decomposing the STL specification into several progresses and time constraints, (ii) searching for timed waypoints that satisfy all progresses under time constraints, and (iii) generating trajectory segments using a pre-trained diffusion model and stitching them into complete trajectories. We formally prove that our method guarantees STL satisfaction, and simulation results demonstrate its effectiveness in generating dynamically feasible trajectories across diverse long-horizon STL tasks.
SENTINELKILNDB: ALarge-Scale Dataset and Benchmark for OBBBrick Kiln Detection in South Asia Using Satellite Imagery
Air pollution was responsible for 2.6 million deaths across South Asia in 2021 alone, with brick manufacturing contributing significantly to this burden. In particular, the Indo-Gangetic Plain; a densely populated and highly polluted region spanning northern India, Pakistan, Bangladesh, and parts of Afghanistan sees brick kilns contributing 8-14% of ambient air pollution. Traditional monitoring approaches, such as field surveys and manual annotation using tools like Google Earth Pro, are time and labor-intensive. Prior ML-based efforts for automated detection have relied on costly high-resolution commercial imagery and non-public datasets, limiting reproducibility and scalability. In this work, we introduce SENTINELKILNDB, a publicly available, hand-validated benchmark of 62,671 brick kilns spanning three kiln types Fixed Chimney Bull's Trench Kiln (FCBK), Circular FCBK (CFCBK), and Zigzag kilns - annotated with oriented bounding boxes (OBBs) across 2.8 million km2 using free and globally accessible Sentinel-2 imagery. We benchmark state-of-the-art oriented object detection models and evaluate generalization across in-region, out-of-region, and super-resolution settings. SENTINELKILNDB enables rigorous evaluation of geospatial generalization and robustness for low-resolution object detection, and provides a new testbed for ML models addressing real-world environmental and remote sensing challenges at a continental scale. Datasets and code are available in SentinelKilnDB Dataset and SentinelKilnDB Benchmark, under the Creative Commons Attribution-NonCommercial 4.0 International License.
Best Prime Day Deals We'd Spend Our Own Money On (2026)
We've gone from A to Z to find Amazon's best Prime Day deals on the gear worth owning. Amazon Prime Day is here once again. Amazon's annual Prime Day deals aims to entice us with an endless scroll of "discounts (some real, many fake), hammering away with red slashes, big percentages off, and coupons you can only see after adding to cart. While Prime Day deals aren't what they once were--its success has inspired a massive number of fake deals and attracted obscure brands--there are still some very significant discounts to be found. For the next four days, the WIRED Reviews team will be pooling our hundreds of years of collective expertise to find actual savings on products we have personally tested and approved. Let us absorb the neon signage and "buy now" buttons on your behalf and share the deals worth sharing. We'll keep this list updated frequently for the duration of the sale, which runs from June 23 to June 26. This is our very favorite MagSafe power bank . Wireless and MagSafe charging aren't always the fastest or most efficient, but despite its bulk, this large-capacity bank can top off modern phones once (or maybe a little more than that) without overheating or taking forever. One of the best budget wireless chargers is even more affordable thanks to Prime Day. You can buy fancier, faster wireless chargers, but if you just want a simple option that'll top off your phone, this is worth checking out. It can deliver up to 10 watts, though you'll need to supply your own wall adapter. Want something that can fast charge your phone, juice up your tablet, and even refill your laptop? This generous 25,000-mAh capacity can do it all, but stops shy of the carry-on air travel limit. The maximum output is 165 watts for two devices, but 100 watts for a single device. It has lovely rounded edges, a retractable, flat, 2.3-foot USB-C cable on the top, and a snazzy, durable, braided 1-foot USB-C cable that doubles as a carry loop. This remains one of my favorite Windows laptops, despite the recent price increases. But now, it's unexpectedly dropped to $835 for Prime Day, making it the best laptop Prime Day deal I've found so far. Price aside, though, my favorite feature is the 3:2 aspect ratio screen, which also has a faster 120-Hz refresh rate. It's absolutely gorgeous, and all the extra vertical screen space gives more room to work with. A new version just got announced with a more powerful Snapdragon X2 chip inside, but it's considerably more expensive . Unlike so many Windows laptops around $500, the OmniBook 3 has excellent performance and battery life. And while the touchpad isn't the best, the specs alone make it the very best cheap laptop you can buy.
TITAN: ATrajectory-Informed Technique for Adaptive Parameter Freezing in Large-Scale VQE
Variational quantum Eigensolver (VQE) is a leading candidate for harnessing quantum computers to advance quantum chemistry and materials simulations, yet its training efficiency deteriorates rapidly for large Hamiltonians. Two issues underlie this bottleneck: (i) the no-cloning theorem imposes a linear growth in circuit evaluations with the number of parameters per gradient step; and (ii) deeper circuits encounter barren plateaus (BPs), leading to exponentially increasing measurement overheads. To address these challenges, here we propose a deep learning framework, dubbed TITAN, which identifies and freezes inactive parameters of a given ansätze at initialization for a specific class of Hamiltonians, reducing the optimization overhead without sacrificing accuracy. The motivation of TITAN starts with our empirical findings that a subset of parameters consistently has negligible influence on training dynamics. Its design combines a theoretically grounded data construction strategy, ensuring each training example is informative and BP-resilient, with an adaptive neural architecture that generalizes across ansätze of varying sizes. Across benchmark transverse-field Ising models, Heisenberg models, and multiple molecule systems up to 30qubits, TITAN achieves up to 3 faster convergence and 40-60%fewer circuit evaluations than state-of-the-art baselines, while matching or surpassing their estimation accuracy. By proactively trimming parameter space, TITAN lowers hardware demands and offers a scalable path toward utilizing VQE to advance practical quantum chemistry and materials science.
Time-Based Use Rates and Whole-Home Battery Backups Combine
Power companies are pushing aggressive time-based use pricing. Here's how a regular consumer can benefit. I like to keep my home at a cool and comfortable 68 degrees year-round. This preference would be fine if I lived near the Pacific Ocean, or in a small home, or in a newer home that's insulated with modern mineral wool instead of tissue paper and horsehair. I, however, live in a 2,000-plus-square-foot home built in 1906.
Diffusion Generative Modeling on Lie Group Representations
We introduce a novel class of score-based diffusion processes that operate directly in the representation space of Lie groups. Leveraging the framework of Generalized Score Matching, we derive a class of Langevin dynamics that decomposes as a direct sum of Lie algebra representations, enabling the modeling of any target distribution on any (non-Abelian) Lie group. Standard score-matching emerges as a special case of our framework when the Lie group is the translation group. We prove that our generalized generative processes arise as solutions to a new class of paired stochastic differential equations (SDEs), introduced here for the first time.