标签：#ics

At the right point of the orbit and stellar cycle, the star's chromosphere brightens.

General Intuition has raised $320 million to scale AI trained on millions of hours of gameplay, betting action data can help AI develop something closer to human intuition.

General Intuition has raised $320 million to scale AI trained on millions of hours of gameplay, betting action data can help AI develop something closer to human intuition.

Farday Future hasn't quite given up on EVs, but it's now also pitching a lineup of robots, including humanoids and a quadruped with an optional canine heads.

Just days after a gunman killed conservative activist Charlie Kirk, it became clear that President Donald Trump would use the assassination to fuel a crackdown on free speech. To avenge Kirk's death, the administration vowed to go after so-called "antifa" (otherwise known as antifascist) terrorists. Now that promise is bearing fruit. This week, eight Texas […]

The Internet of Things is now a phrase you see on product boxes, in boardroom slide decks, and across thesis titles in engineering departments everywhere. But it has a surprisingly precise origin. The term was coined in 1999 by a British technologist named Kevin Ashton, and it was not born in a research lab or an academic paper. It started its life as the title of a corporate sales presentation. A slide deck, not a laboratory In the late 1990s Ashton was a brand manager at Procter & Gamble, the consumer goods giant behind products you would find on any supermarket shelf. He was wrestling with a mundane but expensive problem: store shelves kept running out of a particular shade of lipstick, even though the warehouse had plenty in stock. The supply chain simply had no reliable way to know, in real time, what was where. Ashton's proposed fix was radio-frequency identification, or RFID: tiny tags that could be attached to products and read automatically by sensors, with no human scanning each item by hand. The vision was that physical objects could report their own location and status, feeding that data up into computer systems without anyone typing it in. To sell this idea to executives, he needed a title that would make supply-chain tagging sound as exciting as the technology dominating headlines at the time. So he linked his RFID proposal to the hottest topic of 1999 and called the presentation "Internet of Things." By his own account, years later in RFID Journal, the choice was deliberate. Tying tags and sensors to the red-hot word "internet" was the surest way to get senior people in the room to pay attention. The pitch worked well enough that the phrase stuck, and Ashton went on to help found the Auto-ID Center at MIT, a research group that did much of the early standards work that made networked RFID practical. Why the name was actually a good description It would be easy to dismiss the term as a marketing flourish, but it captured something real. Ashton's point

Rep. Anna Paulina Luna (R-FL) says her staff used AI for "spellcheck" in an amendment summary for a major defense bill, but denies it was used for the bill text itself and says "NO Legislation is ever drafted with AI." Luna issued the response after accounts on X began sharing screenshots of an amendment summary […]

This curious phenomenon was documented by the seismometer at the University of Bergen, which recorded slight vibrations whenever the national team scored a goal.

The expensive, $27 million political proxy war between Anthropic and OpenAI came to a draw last night when Alex Bores, a New York state Assemblyman whose popularity surged after being targeted by a pro-AI super PAC, narrowly lost the Democratic primary to represent New York's 12th Congressional district. Prior to the race, Bores, a former […]

Agility Robotics, the humanoid robotics startup that spun out of Oregon State University in 2015, expects to generate $620 million in proceeds.

The clock reads 6:47 in the third quarter. Your team is down three points, facing 4th and 2 at midfield. For decades, the conventional wisdom was automatic: punt the ball away and hope your defense makes a stop. But on Sunday across America's NFL stadiums, something remarkable is happening. Teams are challenging that wisdom with data, and the results are reshaping how football is played. In the 2023 NFL season, teams went for it on 4th down approximately 23% more often than they did a decade earlier. Some of this increase stems from rule changes and philosophical shifts, but the real driver is analytics. Teams now have access to comprehensive data showing that going for it on 4th down is dramatically undervalued by traditional football thinking. The margin between analytical expectation and actual performance reveals one of the most significant inefficiencies in professional sports. This article explores the data patterns behind 4th down decision-making, revealing why teams willing to challenge convention are winning more games than Vegas expects, and what the numbers tell us about the future of NFL strategy. The NFL Data Ecosystem: More Information Than Ever Understanding NFL analytics requires first appreciating the sheer volume of data available to modern front offices. We're not talking about simple box scores anymore. Teams now collect: Tracking data : Real-time positioning of all 22 players on every play, collected at 10 frames per second Biometric data : Player fatigue levels, GPS tracking during games, heart rate variability, and recovery metrics Situational data : Down and distance, field position, score differential, time remaining, and opponent tendencies Personnel data : Matchup analysis comparing specific offensive and defensive units Environmental data : Weather conditions, field surface characteristics, altitude, and crowd noise levels This data ecosystem emerged gradually. NFL teams began serious analytics initiatives in the early 2010s, largely insp

At high-stakes meetings with the White House, Anthropic's cofounder—a "weirdo," per one official—has been replaced by cofounder Tom Brown.

Introduction When a query runs in ClickHouse®, the database does much more than simply read data and return results. Before execution begins, ClickHouse® parses the SQL statement, analyzes it, applies optimizations, and builds an execution plan that determines the most efficient way to process the query. Understanding query execution plans is one of the most valuable skills for anyone working with ClickHouse®. They provide visibility into how queries are executed, helping you identify bottlenecks, validate optimization efforts, and troubleshoot performance issues. In this article, we'll explore how ClickHouse® generates execution plans, the different EXPLAIN modes, and how to interpret them for better query optimization. Why Query Execution Plans Matter A SQL query defines what data you want, but it doesn't explain how the database retrieves it. Consider the following query: SELECT country , count () FROM events GROUP BY country ; Although the query looks simple, ClickHouse® must determine: Which data parts to read Whether primary indexes can reduce the scan If data skipping indexes can be used How aggregation should be performed Whether parallel execution is possible How intermediate results should be merged A query execution plan provides answers to these questions, making it an essential tool for performance tuning. The ClickHouse Query Lifecycle Every query passes through several stages before producing results. The lifecycle typically looks like this: SQL Query │ ▼ Parser │ ▼ Analyzer │ ▼ Optimizer │ ▼ Query Plan │ ▼ Execution Pipeline │ ▼ Results Each stage plays an important role: Parser validates SQL syntax. Analyzer resolves tables, columns, and expressions. Optimizer applies query optimizations. Query Plan determines the logical execution steps. Pipeline distributes work across multiple threads. Execution processes the data and returns the results. Understanding this workflow makes execution plans much easier to interpret. Introducing the EXPLAIN Statement

Almost everything that makes the modern world hum, from the phone in your pocket to the sensor on a factory floor, traces back to a single quiet afternoon in a nearly empty laboratory in Dallas. In the summer of 1958, a newly hired engineer named Jack Kilby built the first working integrated circuit at Texas Instruments. It was a crude little thing, a sliver of germanium with a few components and some fine gold wires, but it carried an idea that would reshape electronics: that an entire circuit could be made from one piece of semiconductor material. Every microcontroller and connected device we build today is a descendant of that prototype. The engineer who was left behind Kilby had only just joined Texas Instruments and had not yet earned any vacation time. So when the company shut down for its traditional summer break in July 1958 and most of his colleagues left, he found himself nearly alone in the lab with time to think. The problem on his mind was one the whole industry called the "tyranny of numbers." Circuits were getting more capable, which meant more transistors, resistors, and capacitors, each one a separate part that had to be wired together by hand. Every added component meant more connections, more soldering, and more chances for something to fail. The complexity was becoming a wall. Kilby's insight was disarmingly simple. If resistors and capacitors could be made from the same semiconductor material as transistors, then every part of a circuit could be fabricated together in a single block. No separate components, no forest of hand-soldered wires. He sketched the idea, and when his managers returned he had something to show them. September 12, 1958 On September 12, 1958, Kilby demonstrated his prototype to Texas Instruments executives. The device was a phase-shift oscillator built on a bar of germanium, with its elements connected by delicate gold "flying wires." He connected it to an oscilloscope, flipped the switch, and a steady sine wave rolled acro

Hello and welcome to Regulator, the newsletter for Verge subscribers chronicling the misadventures of their favorite tech overlords and Washington swamp creatures. ("Favorite" is, of course, subjective.) Not a subscriber yet? Sign up here, especially if you want the hot scoop on quality Amazon Prime Day deals recommended by the wonderful humans of The Verge's […]

At 9PM ET on the night of May 28th, a Blue Origin New Glenn rocket sat on the launchpad at the Cape Canaveral Space Force Station. The craft was in the middle of a hot-fire test awaiting the arrival of Amazon Leo satellites, the first of 24 batches to be shuttled into low Earth orbit […]

“I deleted it as a test and it came immediately back,” says one government employee.

Researchers say the discovery could be a “Rosetta stone” for cosmic signals.

The incident comes as Tata Electronics expands its role in global technology supply chains.

Alina Krasavina explains how Delivery Hero successfully deprecated Google Analytics and migrated to an internal user tracking platform. She discusses how a simplistic, highly scalable architecture allowed them to handle 10 times more load while capturing 97% of tracking data. By Alina Krasavina