Fox News
๋ณด์ ์ฑํฅ
๊ธฐํ
Indy 500 fans clamor for Caitlin Clark as she takes center stage at race
Caitlin Clark served as grand marshal of the Indianapolis 500 on Sunday, giving the command for drivers to start at the iconic Indiana race event.
๐บ๐ธ ๋ฏธ๊ตญ ยท "COMMAND" ยท ์ด 130๊ฑด
ํํฐ ๋ณด๊ธฐํ์ฌ ์ง์
50.0
0 = ๋ถ์ ์ฐ์ธ
50 = ์ค๋ฆฝ
100 = ๊ธ์ ์ฐ์ธ
์ต๊ทผ 7์ผ ๊ธฐ์ค 11,414๊ฑด์ ๋ถ์ํ ๊ฒฐ๊ณผ, ๋ด์ค ์ฌ๋ฆฌ์ง์๋ 50.0(๊ท ํ)์ ๋๋ค. ๊ธ์ 1๊ฑด(0.0%)ยท์ค๋ฆฝ 11,412๊ฑด(100.0%)ยท๋ถ์ 1๊ฑด(0.0%)์ด๋ฉฐ, ์ค๋ฆฝ ๋น์ค์ด ๋๋ ทํ๊ฒ ๋์ต๋๋ค. ์ฑํฅ ์ง์๋ ์ข ํฉ 19.3(์ค๋ ๊ท ํ)์ ๋๋ค.
Caitlin Clark served as grand marshal of the Indianapolis 500 on Sunday, giving the command for drivers to start at the iconic Indiana race event.
This week on "Face the Nation with Margaret Brennan," as President Trump says a peace deal with Iran has been "largely negotiated," Imtiaz Tyab reports from Tel Aviv and Sen. Chris Van Hollen discusses the possible deal. Plus, on this Memorial Day weekend, Medal of Honor recipients retired Lt. Col. William Swenson and retired Command Sergeant Major Matthew Williams join.
On Memorial Day weekend, as America plans to celebrate its 250th birthday, Margaret Brennan sat down with two Medal of Honor recipients, retired Army Lt. Col. William Swenson and retired Army Command Sergeant Major Matthew Williams, both of whom were awarded their medals for valor in battle during their service in Afghanistan.
Missed the second half of the show? WHite House National Economic Council Director Kevin Hassett, Dr. Deborah Birx and Medal of Honor recipients retired Army Lt. Col. William Swenson and retired Army Command Sergeant Major Matthew Williams.
Watch Margaret Brennan's full interview with Medal of Honor Recipients retired Army Lieutenant Colonel William Swenson and retired Army Command Sergeant Major Matthew Williams, a portion of which aired on "Face the Nation with Margaret Brennan" on May 24, 2026.
The New York Knicks beat the Cleveland Cavaliers 121-108 in Game 3, taking a commanding 3-0 series lead as Cleveland's late-game collapse draws sharp criticism.
Fake CAPTCHA scams trick users into opening command windows and pasting malicious scripts, installing StealC malware that steals passwords silently.
Donald Trump has once again taken over the internet. No, not the president of the United States. The albino buffalo from Bangladesh. Nicknamed after the commander-in-chief, this rare animal has become a local celebrity in the city of Narayanganj and a viral sensation online because of its uncanny resemblance to Trump, particularly its blond combover. ...
Taylor Swift and Travis Kelce sat courtside as Jalen Brunson led the Knicks to a 121-108 Game 3 win over Cleveland, taking a 3-0 series lead.
Firefighters on Saturday were trying to cool a chemical tank โliterally on the edgeโ of exploding in Garden Grove, California, as they worked to avert a disastrous โworst-caseโ scenario, the incidentโs commander said.
U.S. Central Command (Centcom) said Saturday it has redirected more than 100 commercial vessels as part of the ongoing naval blockade of Iranian ports in the Strait of Hormuz, calling the move a โmilestoneโ as tensions persist in the region. Since the blockade began in April at President Trumpโs direction, more than 15,000 U.S. troops...
Itโs "a matter of not if, but when the United States is going to recommence combat operations,โ Retired U.S. Navy Cmdr. Kirk Lippold told Fox News Friday.
This sounds like the plot of a spy thriller movie, except federal prosecutors say it was real and the target was Ivanka Trump. Federal prosecutors say a suspected Iran-linked terrorist plotted against Ivanka Trump as payback for President Trump ordering the strike that killed Iranian military commander Qasem Soleimani back in 2020. According to the ...
Special Operations Commandโs fleet of MH-60Ms and MH-47Gs โ operated by the 160th Nightstalkers Special Operations Aviation Regiment (SOAR) โ could benefit from technology injections coming from the MV-75 Cheyenne, said PEO Rotary Wing Steve Smith.
Ukraine targeted overnight the Yaroslavl oil refinery in Russia, escalating the drone attacks on Russian refining and oil exporting assets, Ukrainian President Volodymyr Zelenskyy said on Friday. โToday, there was a report by Commander-in-Chief of the Armed Forces of Ukraine Oleksandr Syrskyi on the use of long-range drones against Russian oil refining and export assets,โ Zelenskyy wrote on social media. โIn particular, overnight, the Defense Forces of Ukraine operated against targets associated with the Yaroslavl oil refineryโฆ
The Department of Defense does not primarily have a cyber recruiting problem โ it has a cyber talent management problem. The military already possesses serious qualification frameworks, scholarship programs, credentialing systems, and selection tools. What it still lacks is a system tying assessment, training, assignment, performance, and retention together across an entire cyber career.In March 2026, the department announced at its Cyber Workforce Summit 2.0 an effort to reinvent the cyber workforce. Called Cyber Command 2.0, this effortโs principal goal is improvement in talent management by focusing on identifying, recruiting, hiring, and retaining the right people. The effort also emphasizes The post The Pentagon Still Cannot Manage Cyber Talent at Scale. Hereโs the Fix. appeared first on War on the Rocks.
During Congressional testimony from Department of Defense leadership last week, Representative George Whitesides asked Secretary of Defense Pete Hegseth, โHow does canceling a command-initiated review support a culture of accountability?โ But before the secretary could answer, Whitesides instead decided to direct the question to the chairman of the Joint Chiefs of Staff, Gen. Dan Caine. Clearly uncomfortable with the question, Caine replied, โWhat you are alluding to โฆ is a partisan question.โ The exchange occupied only a few minutes amid days of acrimonious testimony focused primarily on the war with Iran, but reflected how partisan considerations have now extended to The post The Kid Rock Flyby Controversy and the Erosion of Military Professionalism appeared first on War on the Rocks.
This sponsored article is brought to you by Wetour Robotics. A field technician on a wind turbine, harness clipped, both hands on a wrench, needs to send a command to the diagnostic device hanging at her belt. A logistics worker on a loading dock, gloves on, eyes on the pallet, needs to redirect a connected lift. A person using an assistive mobility device on a crowded street wants to nudge it forward without taking out a phone or speaking aloud. None of these moments call for a smarter robot. They call for a smarter way to be heard by the machines that already exist. The industry has been building from one side The past three years of Physical AI have been a story of remarkable progress on the robot side of the loop. Companies like Boston Dynamics, Figure, and Unitree have advanced actuators, locomotion, and dexterity to a level that would have seemed implausible a decade ago. Google DeepMindโs Gemini Robotics has redefined what vision-language-action models can do in unstructured settings. The trajectory of the hardware and the foundation models is real, and it is accelerating. But there is another side to this loop, and it has been treated as a solved problem for too long. The interface between humans and machines has defaulted, for 40 years, to three input modalities: screens, buttons, and voice. Each of those assumes the user can stop, look down, and translate intent into structured commands. That assumption breaks the moment the work moves into a real environment. On a turbine. On a dock. On a sidewalk. In any setting where hands are occupied, eyes are committed, or speaking is impractical, the conventional interface stack quietly fails. Spatial Intent Fusion is the simultaneous processing of three streams of human-centered information, namely spatial position, visual context, and gestural intent: Your body is the interface. The bottleneck on the human side of the loop is becoming as important as the one on the machine side. And solving it requires a different question. Not how do we make the robot more capable, but how do we let the human participate in the computing system as naturally as the robot already does. Wetour Roboticsโ bet: put the human back into the computing loop Wetour Robotics is betting that the next architectural leap in Physical AI is not about making the robot more capable. It is about making the human a first-class node in the computing network, with the same kind of low-latency, high-fidelity participation that connected devices already enjoy. Wetour Roboticsโ engineers frame the problem this way: a wristband that recognizes a gesture is not enough. A camera that recognizes a scene is not enough. The information a human carries about what they are about to do is distributed across multiple channels, including where their body is in space, what their eyes are attending to, and what their muscles are preparing to do, and any single channel observed in isolation is ambiguous. Reconstructing intent reliably means fusing those channels at the operating system level, with latency low enough that the loop feels closed rather than mediated. This approach has a name. Wetour Robotics calls it Spatial Intent Fusion: the simultaneous processing of three streams of human-centered information, namely spatial position, visual context, and gestural intent, fused into a single real-time command for any connected physical device. It is the technical implementation behind a simpler positioning statement the company uses externally: your body is the interface. Orchestra is a portable intelligent hub running the operating system that handles sensor fusion, intent inference, command translation, and safety arbitration. The reference compute platform is NVIDIA Jetson Orin Nano Super, which provides enough on-device inference capacity to keep the entire control loop at the edge, with no cloud dependency on the critical path. Wetour Robotics The architecture: three layers, four engines, one loop Orchestra is not a single device but a layered platform, designed from the start to be sensor-flexible and actuator-agnostic. The architecture decomposes into three perception layers and four coordination engines. Orchestra itself is the local compute and orchestration core: a portable intelligent hub running the operating system that handles sensor fusion, intent inference, command translation, and safety arbitration. The reference compute platform is NVIDIA Jetson Orin Nano Super, which provides enough on-device inference capacity to keep the entire control loop at the edge, with no cloud dependency on the critical path. Edge inference is non-negotiable for this application. Full-chain latency from biosignal acquisition to actuator command is held under 100 milliseconds, the envelope inside which closed-loop control feels natural rather than laggy. VisionLink handles visual and spatial perception. Cameras feed into vision models that identify objects, estimate distances, and track environmental context. VisionLink is designed not as a passive recognition layer but as a real-time command generator: its outputs feed directly into Orchestra OS to be fused with biosignal data. Conductor is the biosignal pipeline. It ingests raw surface electromyographic (sEMG) data from a wrist-worn device, classifies temporal patterns into discrete gestures or continuous control signals, and outputs actuator commands. The technically interesting property of sEMG for this use case is that the signal precedes visible motion. Motor unit action potentials appear at the skin surface roughly 50 to 80 milliseconds before a finger completes the corresponding gesture. Wetour Robotics calls this property pre-motion intent sensing, and it is what allows Orchestra to anticipate user intent rather than react to it. On top of the three perception layers, Orchestra OS runs four coordination engines. The Perception Engine ingests and normalizes raw sensor streams. The Intent Engine performs Spatial Intent Fusion across modalities, resolving what the user is trying to do given where they are, what they are looking at, and what their hand is signaling. The Orchestration Engine translates intent into device-specific command sequences for any connected actuator. The Safety Engine arbitrates conflicting commands, enforces operational envelopes, and gates execution against runtime safety conditions. Wetour Robotics The trade-offs weโre honest about No system that bridges the human body and the digital world is finished. Three engineering challenges remain open, and the company addresses each with a deliberate trade-off rather than a claim of having fully solved it. Baseline stability of sEMG under motion. In a stationary user, continuous gesture recognition from sEMG is reliable. Once the user is walking, climbing, or otherwise moving, motion artifacts and electrode drift degrade the signal in ways that are difficult to fully compensate for. Rather than overpromise on continuous control in dynamic settings, Orchestra defaults to a smaller set of robust discrete gestures in complex operating environments, and reserves continuous control modes for contexts where the signal-to-noise ratio supports them. Miniaturization of edge AI compute. Running the Orchestra control loop entirely at the edge requires real on-device inference, which has historically meant trading off between compute capacity, battery life, and form factor. Wetour Roboticsโ approach has been a compact carrier board paired with a thermal design and a battery module sized for all-day wearability. The result is a hub that travels with the user rather than tethering them to a desk, and that performs the full perception-to-actuation loop without offloading to the cloud. Heterogeneity of third-party device protocols. The actuator side of the loop is a fragmented landscape. Different manufacturers expose different command interfaces, different communication stacks, and different safety conventions, and a Physical AI operating system has to integrate with all of them. Wetour Robotics uses an AI-agent layer to negotiate connection and protocol translation adaptively, so that Orchestra OS can ingest data from a wide range of devices, run them through neural network models that infer human intent, and emit the right command on the right protocol for the device on the other end. Why this matters, and why it helps the rest of the field The history of computing is a history of interface revolutions. Command lines gave way to graphical user interfaces, which gave way to touch, which gave way to voice. Each transition expanded who could participate in the system and what they could do with it. The next transition is not about a new screen or a new microphone. It is about treating the human body itself as a participant in the computing network, capable of contributing intent at the same speed and fidelity that any other connected node can. The history of computing is a history of interface revolutions. The next transition is not about a new screen or a new microphone โ it is about treating the human body itself as a participant in the computing network. This path is not a competitor to the work being done on humanoid robots, foundation models for embodied AI, and dexterous manipulation. It is the missing complement to that work. The hardest open problem for humanoid systems is the data: every natural interaction between a human and the physical world is a potential training signal, and most of those interactions are currently invisible to any computing system. As more humans become first-class nodes in the loop, those interactions become observable, structured, and ultimately useful for training the next generation of embodied AI, including the humanoid robots being developed today. In other words: putting the human back into the computing loop is not just about better interfaces for individual users. It is about generating the kind of grounded, in-the-wild human-machine interaction data that the broader Physical AI ecosystem will need to keep advancing. The robot side and the human side of the loop are not two competing futures. They are two halves of the same one. That is what Wetour Robotics means when it says: Your body is the interface. Learn more at wetourrobotics.com.
Google is calling the new devices "audio glasses," in that users will be able to issue verbal commands to them and get things done via its ecosystem of apps and services, including Gemini.
Google is embracing the rise of AI coding agents with new Android tools designed to work with platforms like Claude Code and OpenAIโs Codex, allowing developers โ or their AI assistants โ to build Android apps faster from the command line.