标签：#ics

Small-scale solar helped renewables nearly triple coal generation on the US grid.

But the system would require a massive leap from any of its existing hardware.

The Supreme Court just placed once-independent agencies more firmly under presidential control. The court ruled in Slaughter v. Trump with a 6-3 vote that President Donald Trump had the authority to fire the Federal Trade Commission's two Democratic commissioners, even though it broke with decades of prior legal precedent at the time. The justices have […]

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical campaigns. Using embeddings, vector search, and LLM ranking, it replaces rule-based workflows. Evaluation shows 75% top-1 and 100% top-3 coverage. The system reduces manual effort, improves consistency, and uses feedback loops to refine retrieval using campaign outcomes. By Leela Kumili

The startup, Proception, is taking a unique approach to collecting training data to tackle one of the hardest problems in robotics: hands.

We’ve taken one small step towards robot police officers: a drone capable of disarming a suspect: In a June 22 video posted on the Sacramento County Sheriff’s Office’s Instagram page, an officer wearing goggles can be seen operating a drone to retrieve a knife from an armed suspect hiding inside a cluttered house. “After not responding to negotiators, a drone was deployed inside the residence,” the post says. “Drone pilots located the suspect hiding in a corner of a garage” and then used a high-powered magnet attached to the drone to grab the knife out of the suspect’s hand. In the video ­ which is soundtracked by the “Mission: Impossible” theme song—the intercepted knife can be seen spinning around in the air as the drone carries it back to the deputies...

Climate activist Will Lawrence cofounded the Sunrise Movement. Now, he has shifted his focus in his attempt to compete for a swing-district seat by calling for a data center moratorium.

Nine major suspected cargo thefts happened at Tesla’s Nevada battery factory in January alone, according to sheriff’s records obtained by WIRED.

Flexion Robotics, a startup founded by ex-Nvidia engineers, has a clever way of training robots to do useful work.

I log commutes in a spreadsheet because mobility apps smooth over the ugly legs. Last week I added a column I should have tracked years ago: carry seconds ? time from curb to platform when stairs replace ramps. The hidden leg My one-wheel leg is fine on paper. Three metro exits on my route have no elevator during maintenance. Carrying a 14 kg wheel down 22 stairs does not show up in trip duration. It shows up in whether I arrive annoyed enough to skip coffee. What I logged (one week) Exit Stairs Carry time (s) Mood after (1-5) North gate 22 38 2 Side ramp (control) 0 8 4 East stairs 16 29 3 Battery delta on those days? Within noise. Mood delta? Not noise. A cheap decision rule I turned this into a go/no-go check before leaving: if stairs > 15 AND carry_weight_kg > 12: prefer transit-only or locker elif stairs > 0 AND wet_floor: walk the wheel (no riding in station) else: ride It is blunt. It works better than pretending every leg is rideable. Assumptions up front Wheel weight includes pads and charger pouch (~14 kg for my commuter setup). I am not timing competitive carries ? just whether I can do this daily without hating it. Your threshold differs if every exit has elevators. What I would do differently I would log carry seconds from day one, same tab as distance and battery percent. Range math without carry math is incomplete for anyone who mixes metro and one-wheel. I work around personal EVs and sometimes cross-check specs on the official Kingsong catalog. https://www.kingsong.com/collections/electric-unicycle

China's Zhipu AI (Z.ai) released its open-weight GLM-5.2, and some researchers have claimed that it matches Mythos in certain bug-finding and cybersecurity scenarios. While GLM lags behind models from Anthropic and OpenAI in other, more general tasks, it seems that China has dramatically reduced the gap in the capabilities between its models and those of […]

Clicking on the links now reveals blank pages and empty PDFs. "Intellectually, it’s not acceptable.”

After writing drivers for NVMe storage, my bare-metal kernel could load files and run JIT code. However, I was still typing commands into a text-only COM1 serial terminal. I needed a graphical interface. Last night, the second agent took over to build a double-buffered visual rendering compositor on top of the UEFI Graphics Output Protocol (GOP) framebuffer. The V.E.L.O.C.I.T.Y.-OS 12-Part Roadmap We are building a bare-metal, self-healing operating system running entirely inside the CPU's L3 cache. Here is the roadmap for this 12-part series: Part 1: The Spark — Exposing the "Safe-Room" security leak and building the compiler gate. Part 2: The NDA Language — Designing a content-addressed triplet representation to cure context bloat. Part 3: Ditching the Web Stack — Building a native 30MB IDE with 1,500,000x IPC latency drops. Part 4: The Closure JIT — Compiling AST blocks to nested closures and bypassing borrow checker limits. Part 5: JIT Math Optimizations — Replacing division operations with precomputed 16-bit lookup tables. Part 6: x86-64 Assembler & SCEV-Lite — Compiling scalar loops directly to native code in constant time. Part 7: Classic Compiler Passes — Implementing inter-procedural Dead Code Elimination and loop unrolling. Part 8: Reclaiming Ring 0 — Exiting UEFI boot services and transitioning the kernel to Ring 0. Part 9: Bare-Metal Drivers — Writing a PCI scanner, NVMe block storage controller, and FAT32 parser. Part 10: Synaptic Canvas — Rendering a spatial, force-directed GUI based on model token activation vectors. (You are here) Part 11: Swarms & Hot-Patching — Building multi-agent scheduling and zero-downtime RCU driver updates. Part 12: Self-Evolution — Handing system control over to a local LLM Terminal that self-optimizes via telemetry. This led to the design of the Synaptic Canvas GUI . The Swappable GUI Engines I started by mapping the physical screen buffer pointer discovered by UEFI GOP. I implemented a double-buffering scheme: drawing elem

As the billionaire class gets richer, the growing online community is offering tips on how to survive with very little.

The Euclid space telescope's stunning photo of our galaxy's “crowded heart” captures more than 60 million stars.

Santa Clara, 2029. A speculative fiction about hegemony, sanctions, and the playbook nobody followed.

In the landscape of modern programming, delimiters serve as the essential scaffolding that organizes logic and defines structure. Among these, curly braces—often referred to as braces or squiggly brackets—occupy a unique position. While they are ubiquitous, they are frequently the source of developer frustration and logic errors. A common pitfall for many programmers is the tendency to treat all delimiters as interchangeable, leading to a fundamental misunder身 of how a compiler or interpreter parses a script. Confusion often arises when developers conflate the purpose of curly braces with those of parentheses or square brackets. For instance, in many languages, curly braces denote a scope or a code block, whereas square brackets handle indexing. However, the nuances become even more complex when examining specific environments like R, where the semantic meaning of a symbol can shift depending on the context—moving from defining a function to facilitating list extraction. Understanding the specific curly braces semantics is not merely an academic exercise in syntax; it is a practical necessity for writing clean, maintainable code. When a developer understands why a brace is used, they can more easily debug nested structures and communicate intent to their teammates. Grasping these distinctions reduces the cognitive load required to read complex scripts and prevents the subtle bugs that emerge when syntax is used incorrectly. Curly Braces vs. Other Delimiters: Semantic Roles in R and Beyond To master programming syntax, one must move beyond recognizing symbols and begin understanding their semantic intent. While many developers treat curly braces as just another set of punctuation, their role is fundamentally distinct from parentheses and square brackets. Understanding the nuance of curly braces semantics is essential for writing logic that is both functional and readable. The Primary Role: Defining Code Blocks In most procedural and object-oriented languages (such as

Apple is looking to alleviate some of the pressure on its supply chain by seeking an exception from the Trump administration to buy RAM chips from CXMT, a company blacklisted by the Pentagon over ties to the People's Liberation Army, according to the Financial Times. The skyrocketing prices of RAM and storage have driven Apple […]

Kai Wright is the co-host of Stateside with Kai and Carter over at the Guardian. But Wright has been bringing his unique insights to listeners for years. He's also hosted Notes From America, The United States of Anxiety, and Indivisible. He's a Peabody Award-winning journalist who has profiled powerful men, explored what it means to […]

Why 40V Input and 500mA Output Matter in Noise-Sensitive Designs You’ve probably fought a power rail that looked clean on a multimeter but still trashed your 24‑bit ADC readings. The culprit is rarely the DC level—it’s the broadband noise, switching artifacts, and line‑frequency ripple that ride on top. In precision analog, RF, and sensor signal chains, even 50 µV of supply noise can bury a 1 mV sensor signal or degrade an RF PLL’s phase noise by 10 dB. The MAX20151R addresses this head‑on with a combination that’s hard to find in a single LDO: a 40 V input range, 500 mA output drive, and just 6.5 µV RMS output noise (10 Hz–100 kHz). That wide input headroom lets you power sensitive circuitry directly from a 12 V or 24 V industrial rail, an automotive battery, or a noisy intermediate bus without a pre‑regulator. You eliminate an entire buck converter stage, saving board space and avoiding the switching noise that would otherwise require heavy filtering. The 500 mA output current is equally important. Many ultra‑low‑noise LDOs top out at 200 mA or 300 mA, forcing you to split rails or add a discrete pass transistor. With 500 mA, the MAX20151R can comfortably supply a mixed‑signal chain—an MCU, a precision ADC, a low‑jitter clock, and a handful of op‑amps—from a single quiet rail. And because the device maintains its noise performance across the full load range, you don’t have to derate your noise budget as current increases. Field experience shows that transient events on 24 V vehicle buses can easily exceed 40 V during load dump. The MAX20151R’s 40 V absolute maximum input rating, combined with integrated reverse‑voltage protection down to –40 V, gives you a robust front end that survives those spikes without external clamping. This is a practical necessity for any design that must pass ISO 7637‑2 or similar automotive transients, and it’s a key reason engineers are migrating from lower‑voltage LDOs to the MAX20151R in harsh electrical environments. Key Takeaway: If