IT/기술 · "DRIVER" · 총 22건
필터 보기현재 지수
50.3
0 = 부정 우세
50 = 중립
100 = 긍정 우세
최근 7일 기준 86,090건을 분석한 결과, 뉴스 심리지수는 50.2(균형)입니다. 긍정 4,274건(5.0%)·중립 79,689건(92.6%)·부정 2,127건(2.5%)이며, 중립 비중이 뚜렷하게 높습니다. 성향 지수는 종합 14.8(중도 균형)입니다.
The ride-hailing company made an unreported follow-on investment in Nuro larger than its first, with remaining funds tied to driverless testing and passenger milestones
Shokz has announced two new versions of its open earbuds. Like the original OpenDots One that launched in May 2025, the new Shokz OpenDots 2 and OpenDots Air are both designed to be worn clipped to the back of your ear with their drivers positioned to project sound toward your ear canals without blocking them. […]
Tot grote onvrede van sommige collega's uit de filmindustrie heeft de gevierde regisseur Martin Scorsese geïnvesteerd in een bedrijf voor kunstmatige intelligentie. Hij heeft zijn naam verbonden aan een start-up die storyboards, oftewel de visuele uitwerking van een script, genereert. De 83-jarige Amerikaanse regisseur, bekend van klassiekers als Taxi Driver (1976), Goodfellas (1990), The Departed (2006) en The Wolf of Wall Street (2013) noemt de functie een "creatieve bevrijding". Het bedrijf Black Forest Labs heeft een video gepubliceerd waarin de filmmaker vertelt hoe moeilijk het voor hem is om over te brengen wat er in zijn hoofd zit over de film. "Tijd kost geld, en dit zorgde ervoor dat we sneller vooruit konden zonder aan kwaliteit of ambacht in te leveren", prijst Scorsese de AI-functie. Daar denkt de Nederlandse regisseur en storyboardartiest Richard Raaphorst heel anders over. "Tienduizenden mensen verliezen hiermee hun baan", zegt hij tegenover de NOS. "Dit is voor Scorsese een manier om een monopolie te claimen op dit ambacht." 'Weerzinwekkend' Ook andere storyboard- en conceptartiesten reageren boos. Een van hen is Karla Ortiz, die onder meer werk leverde voor Marvel-films als Black Panther en Avengers: Endgame. "Hij (red: Scorsese) gooit alle storyboardartiesten waar hij ooit mee gewerkt heeft voor de bus." Ze wijst erop dat dit soort programma's vaak getraind zijn met het werk van collega's, zonder dat daar rechten over zijn betaald. "Om zijn erfenis en kracht hiervoor te gebruiken is zo weerzinwekkend", zegt Ortiz op X. The New York Times bracht gisteren als eerste het nieuws over het partnerschap tussen Scorsese en het AI-bedrijf. De regisseur was gevraagd voor een interview, maar wilde niet reageren. De filmmaker lijkt de AI functie alleen te willen gebruiken voor het pre-productieproces, dus nog voordat er camera's of technici aan te pas komen. Rolf te Booij, die bijvoorbeeld wapens, maskers en zogeheten praktische special effects levert voor films en series op Amazon en Netflix, kan enerzijds wel begrip opbrengen voor deze keuze. "Je hebt in één keer de perfecte tool voor een toepassing als storyboarding. Maar aan de andere kant mis je ook iets: iemand die een storyboard maakt is bijvoorbeeld ook iemand die weet hoe je een shot opbouwt." Beperkte budgetten Wanneer klanten aankloppen bij Te Booij is er vaak al een storyboard gemaakt. Hij merkt dat er daarbij veel gebruik wordt gemaakt van kunstmatige intelligentie. Dat komt volgens hem omdat er, vooral in Nederland, beperkte budgetten zijn om een project uit te voren. Producenten maken met AI een beeld en vragen vervolgens of Te Booij het fysiek kan maken. "Wij hebben het geluk dat wij de vertaalslag maken naar fysieke producten", verwijst hij naar de opkomst van AI in de filmwereld. 'Tragische' evolutie De wereld van storyboards maken "is helemaal dood", zegt filmmaker Raaphorst. Hij maakt ze nog wel voor zijn eigen producties, met soms wel dertig tekeningen per dag, maar voor nieuwkomers zit er volgens hem geen toekomst meer in. Dat heeft alles te maken met de opkomst van AI. "Al eeuwenlang vervangen instrumenten menselijke handelingen, dus het is gewoon evolutie. Maar het is wel tragisch. Het is een beetje als kok die niet meer bezig is met kruiden maar iets kant-en-klaar uit een blik maakt: je voelt het recept niet meer."
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But there's one catch: Drivers may have to wait longer before getting on the freeway.
Sen. Bernie Sanders (I-VT) has stumbled upon another horrific enemy that will destroy the working class unless it is stopped. He recently posted the following on X. “Jeff Bezos is seeking $100 billion to put robots into factories. Millions of manufacturing jobs — GONE. Driverless vehicle companies are expanding rapidly. Millions of transportation jobs — […]
The chairman outlined a strategy centred on what he called two converging growth drivers.
Tesla says its Full Self-Driving software is up to 10 times safer than human drivers, but the figures the company uses to support its claims don't withstand scrutiny
Until recently, a driver had maybe a six in ten chance of finishing a race.
Electrons are great. We use them to move vehicles, illuminate cities, and, of course, compute. But computation is not confined to the world of electronics. And shifting to alternative nonelectronic realms can unlock unique advantages: Photonic chips, for instance, process information with light while generating little heat. Another compelling alternative is fluidics, which uses pressurized gases or liquids to build logic circuits. Pioneered in the 1960s but sidelined by microchips, the field reemerged in the 1990s as “microfluidics.” This approach aims to shrink laboratories onto a single chip by creating microscopic fluid channels with integrated micropneumatic control systems. Today, there is a second fluidic revival, this time in the domain of soft robotics. Scaling microfluidic designs up to the millimeter-scale range (millifluidics) enables the higher flow rates necessary to drive robotic actuators. These robots exploit the nonlinear behaviors of soft materials to create lifelike motion and safer interactions, often utilizing pressurized air. By building systems that “think” with the same air that powers them, we can drastically reduce the need for bulky electronic-to-pneumatic interfaces. This is the focus of my Soiboi Studio robotics lab. With millifluidic logic, I have steadily scaled the complexity of my designs. What began with a simple oscillator has most recently evolved into a clock featuring a soft, four-digit, seven-segment display. What Is Millifluidics? Building on microfluidics research from the early 2000s and recent developments from the Grover Lab at the University of California, Riverside, I’ve developed millifluidic devices using standard 3D printing and silicone casting. The basic architecture is simple: A flexible membrane is sandwiched between rigid layers embedded with networks of air channels. Just as electronics rely on differing voltage potentials, these fluidic circuits operate on the pressure difference between atmospheric pressure (logical 0) and a near-vacuum at around −60 kilopascals of relative pressure (logical 1). Using negative pressure means the membrane is pulled into openings. This creates robust seals that allow me to replicate electronic building blocks. A cast silicone membrane forms the face of the clock [top], while behind it sits 3D-printed millifluidic blocks [middle rows]. An Arduino Uno controls driver boards that operate solenoids, which are connected to valves that are attached to a vacuum pump [bottom row].James Provost While fluidic resistors are easily realized by adjusting the channel geometry, the heart of the system is a valve that mimics a metal-oxide-semiconductor field-effect transistor, or MOSFET. This vacuum “transistor” features a flow layer with two chambers (the source and drain) divided by a central valve seat and a control layer containing a cavity (the gate). A membrane runs between the control and flow layers and normally prevents airflow between the source and drain chambers. To switch the transistor on, a vacuum is applied to the gate chamber, sucking the membrane into the cavity and lifting it off the seat. This opens a path for airflow, equivalent to closing an electric circuit. By adding a small aperture to the membrane, I created a check valve—the fluidic equivalent of a diode. By combining transistors and resistive “pull-down” channels, I can build a full suite of logic gates. The original microfluidic designs that inspired me were fabricated from etched glass and milled acrylic. Adapting them for a standard 3D printer required reengineering the logic elements and mastering two critical fabrication techniques. First, I need airtight prints, yet printed plastic is notoriously porous. By printing at elevated temperatures, slow speeds, and slight overextrusion, I was able to fill microscopic gaps. When you’re using transparent filament, there’s a handy visual indicator: The more transparent the plastic appears, the lower its porosity. Second, I used glass for my print bed. By printing the upper and lower chambers directly against this bed, I got the interface surface to become mirror smooth. This finish is essential for creating reliable, airtight seals. A 0.3-millimeter silicone membrane is placed between the layers and secured with screws. How Does the Soft Clock Work? The clockface is a cast silicone membrane. Each digit segment is formed by a small underlying cavity. When air is evacuated from this cavity, the membrane is sucked inward to create a concave hollow; when atmospheric pressure is restored, the silicone pops back flush with the surface. The result is a mesmerizing, organic motion. The “brain” of the clock is an Arduino Uno, while the fluidics significantly reduce the hardware footprint. A four-digit, seven-segment display with two separator dots would require 29 solenoid valves to control directly. My clock needs just 11 valves. A pneumatic transistor is off when its upper control chamber is at atmospheric pressure [top]. When air is removed from the control chamber, it lifts a membrane, which allows air to flow between lower flow chambers and turns the transistor on [bottom]. James Provost To understand how it works, consider a standard electronic four-digit, seven-segment LED display. This also uses 11 pins to drive its digits. (In clockface displays, an additional pin is required to drive the separator dots.) Every digit is connected to a shared data bus with seven lines, one per segment. The four control lines select individual digits. Only one digit is illuminated at time, and strobing the digits at least 50 times per second creates the illusion that all four are simultaneously illuminated. Such high-speed switching is not possible with air. Instead, I rely on memory. Each segment acts like a capacitor: By evacuating its cavity (logic 1), you “charge” the segment; by restoring atmospheric pressure (logic 0), you discharge it. Hence, each digit acts as an independent 7-bit memory. If the system is sufficiently airtight, the segments maintain their state for several seconds. Like the electronic display, the system utilizes a seven-line data bus. Each line connects to a solenoid valve that provides either vacuum or atmospheric pressure. To selectively address the individual digits, I placed a fluidic transistor between each segment and its data line. All the transistors’ control inputs for a given digit are combined into one “write enable” line connected to its own solenoid valve. Activating this valve allows me to write data into the corresponding digit’s memory. The clock updates one digit per second, meaning a full cycle across the face takes 4 seconds. This cycle also drives the separator dots: A set of fluidic diodes connects the enable lines to the dots’ cavities. Consequently, as each digit is addressed, the dots pulse automatically. This display is more than a clock; it is a soft robot that happens to tell time. By offloading computation to the same air that powers movement, the clock approaches a new class of machines that are simpler, lighter, and more integrated. I’m now developing a guide for getting started with vacuum-powered logic and may release a refined version of this clock in the future. Watching the silicone skin morph serves as a fascinating reminder that not all logic needs silicon; sometimes, all you need is flexible silicone and a flow of air. This article appears in the June 2026 print issue as “The Soft Clock.”
[Capital FM] NAIROBI,Kenya,May 29-Kenya is betting on artificial intelligence and big data to reposition its tourism sector as a key driver of economic growth after entering a strategic partnership with Google Kenya to modernize destination marketing, tourism analytics, and visitor experiences.
House lawmakers introduced the BUILD America 250 Act, setting federal rules for autonomous trucks and remote workers in the US.
Pay Tel secured the publicly exposed data after security researchers discovered the leak containing callers' sensitive ID documents and inmate communications.
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He Tingbo's career has tracked Huawei's rise, its struggle following U.S. sanctions, and then a rebirth as the core driver of China's mission to become a high-tech juggernaut.
DHAKA, May 25 — Bangladesh’s densely populated capital, infamous for grinding gridlock, has launched its fir...
Waymo is the undisputed leader in the robotaxi space, operating a fleet of over 3,000 driverless cars in at least 10 cities across the US. A number of companies, including Tesla, Zoox, Avride, and Motional, are racing to catch up with the Alphabet-owned firm. But what if being No. 2 was actually better? Nuro, the […]
The primary driver behind this accelerated growth is the active use of artificial intelligence by threat actors, Alexey Zhukov, Director of Information Security for Digital Assets at Gazprom-Media Holding, said