Moderadores: Lepanto, poliorcetes, Edu, Orel
Atticus escribió:En temas de defensa, a muchas cosas tecnologicas se les esta dando el tratamiento de la magia. Cuando lo importante es llenar power point de afirmaciones grandilocuentes y acronimos ingeniosos y "agresivisisimos de la muerte" pasan estas cosas. Se vive en algunos lados bajo una presion terrible por ofrecer "molonidad", no importando que no haya nada mas que luces y humo de colores tras ello. El tema de las IA, etc, es fundamental para un futuro cada dia mas cercano, pero no le hace ningun bien que se pongan sobre sus hombros pesos que aun no pueden soportar. Ni que se les poco menos que obligue a aparecer como fuentes de cosas que ni siquiera se sabe como se va a llegar a ellas. Me quejo de una presion insana por sacar power point sin importar la velocidad real en que avanzan los conocimientos.
Truquichan escribió:champi escribió:Contrato de EEUU para desarrollar el software CATANA ("Command, Acquire, Track, Assess, eNgage, and Analyze", 24/11/2021): https://www.defense.gov/News/Contracts/ ... e/2854300/...
MISSILE DEFENSE AGENCY
BlueHalo LLC, Huntsville, Alabama, is being awarded a cost-plus-fixed-fee contract. The total value of this contract is $30,341,268. Under this new contract, the contractor will develop a Command, Acquire, Track, Assess, eNgage, and Analyze (CATANA) cloud development that includes: 1.) Infrastructure and interface development; 2.) Core component and service development; and 3.) External service integration and assessment. The work will be performed in Huntsville, Alabama, with an estimated completion date of November 2025. This contract is awarded under broad agency announcement (BAA) procedures and fulfills the competition requirement, in accordance with Federal Acquisition Regulation (FAR) 6.102(d)(2)(i). The BAA, HQ0852-21-S-0001, posted on beta.SAM.gov on Dec. 14, 2020, fulfills the publication of this contract on the Government-wide Point of Entry website requirement in accordance with FAR 35.016(f). Fiscal 2021 research, development, test and evaluation funds in the amount of $5,715,516.74 are being obligated on this award. The Missile Defense Agency, Huntsville, Alabama, is the contracting activity (HQ0852-22-C-0001).
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Esta mierda va a ser de los multiplicadores mas importantes: parte del orquestador o al menos su preprocesado del batiburrillo distribuido que quieren.
poliorcetes escribió:Truquichan escribió:champi escribió:... Cosas de Champi y contrato...
... Cosas del menda...
Por cierto, para todos los follapostes aquí presentes: sabéis que 30M son jodidos cacahuetes para un software así. Ni remotamente llega
US Air Force to advance stealthy successor for F-22
23 December 2021
The USAF’s Next-Generation Air Dominance (NGAD) fighter remains under wraps, but some clues about capabilities the service wants in the aircraft are surfacing.
The sixth-generation fighter aircraft (one full-scale flight demonstrator secretly flew for the first time in 2020) is expected to replace the service’s F-22 Raptor fleet, starting in the 2030s.
ARTIFICIAL INTELLIGENCE TO DIGEST DATA
Whereas past generations of fighter aircraft relied upon speed and manoeuvrability to defeat foes, it seems the NGAD will lean heavily on stealth characteristics to hide from opponents and on computing power to outsmart them, according to comments from the USAF and likely development partners.
Disclosures point to a hyper-connected stealth aircraft that will use artificial intelligence programs to rapidly digest and make sense of multiple streams of sensor data – information that will help combat pilots beat their adversaries to the punch.
NGAD will be a multi-role combat aircraft, but air dominance will be its primary mission, General Charles Brown, USAF chief of staff, told the US House Armed Services Committee in June. He added that the service wants the aircraft to have an increased weapons load and increased range. Greater range would be useful flying across the vast areas of the Indo-Pacific region, Brown said. Greater weapons load would probably be needed in combat against China’s air force, which the Pentagon expects to have a numerical advantage.
Winning air battles will require more than a bigger arsenal of missiles. In order to eliminate China’s numerical advantage, each fighter will have to be able to repeatedly find enemy aircraft and fire quickly – again and again.
Lockheed, a leading contender to develop the sixth-generation fighter, says new digital technologies will give NGAD “omniscient situational awareness”.
BIG DATA
An all-knowing capability also fits into the USAF’s desire for an Advanced Battle Management System (ABMS), a battlefield network that would allow pilots to make decisions faster using data gathered from around the combat theatre.
For example, ABMS might be used to pass intelligence, surveillance and reconnaissance information gathered by autonomous loyal wingman unmanned air vehicles (UAVs) back to the NGAD platform, which could then use artificial intelligence programs to make sense of it all. The USAF has described NGAD as being a “family of systems” with the manned fighter at its centre.
In October, the USAF awarded Kratos Defense & Security Solutions and General Atomics Aeronautical Systems each a contract to develop an “Off Board Sensing Station” UAV. Such a loyal wingman would probably fly in advance of NGAD, search for targets and threats using its sensors, such as radar and infrared search-and-track sensors, and then possibly act as a weapons launch platform.
Raytheon, a manufacturer of advanced radars, expects sensors on NGAD to be automatically “harmonised” to find targets. Some sensors, such as radar, might also be automatically turned off in certain situations to reduce the jet’s electronic signature to avoid detection, the company says.
ADVANCED ADVERSARIES
Interest in artificial intelligence partly comes from a belief that the future battlefield is going to be overwhelmingly chaotic and complex – challenging circumstances created by large numbers of sophisticated radars, electronic warfare systems, surface-to-air missiles, and fighter aircraft fielded by advanced adversaries such as China and Russia.
“It’s going to take a suite of sensors integrated together,” says Eric Ditmars, vice-president of secure sensor solutions, Raytheon Intelligence & Space. “There are environments where the radar performs phenomenally,” he says. “There are environments where the radar is jammed, where infrared search-and-track systems are phenomenal.”
Integrated systems must be able to respond to changing circumstances.
“The environments are getting so contested that you really have to have the ability to be more adaptive,” says Ditmars. “The intent is to allow that pilot to be able to be more flexible in the mission that they are executing, and not be as reliant upon the pre-planning that has been done.”
“This [system] is deciding, ‘In this environment, I need to use my AESA radar in this mode. I’m not going to use my [electronic warfare] system because that’s going to be detected,’” he says.
Potential scenarios might be solved ahead of time by training artificial intelligence (AI) programs using computer simulations of combat, he says.
“That’s the great thing about artificial intelligence. You give it a set of defined criteria and it figures it out,” Ditmars says.
The concept has a precedent. Researchers with Air Combat Command recently developed the ARTUµ software, a machine learning program that used more than half a million computer simulations to train the radar on the U-2 surveillance aircraft to find enemy missile launchers. In late 2020, the artificial intelligence program was demonstrated aboard a U-2 at Beale AFB in California.
“ARTUµ was responsible for sensor employment and tactical navigation, while the pilot flew the aircraft and co-ordinated with the AI on sensor operation,” explained the service. “Together, they flew a reconnaissance mission during a simulated missile strike. ARTUµ’s primary responsibility was finding enemy launchers while the pilot was on the lookout for threatening aircraft, both sharing the U-2’s radar.”
NEW TEAM
The USAF said the AI software was “easily transferable” to other systems, and that it planned to refine the technology.
“Putting AI safely in command of a US military system for the first time ushers in a new age of human-machine teaming and algorithmic competition,” said Will Roper, who was assistant secretary of the USAF for acquisition, technology and logistics at the time. “Failing to realise AI’s full potential will mean ceding decision advantage to our adversaries.”
In other words, asking a pilot to make sense of complex sensor data in the middle of a pitched battle might lose precious seconds to the enemy.
“We’re trying to take some of this workload off the pilot. They are human and they can only do so much,” Ditmars says. “As the systems get more and more complex, it becomes very challenging for them.”
https://www.flightglobal.com/defence/us ... 92.article
Orel escribió:Winning air battles will require more than a bigger arsenal of missiles. In order to eliminate China’s numerical advantage, each fighter will have to be able to repeatedly find enemy aircraft and fire quickly – again and again.
Lockheed, a leading contender to develop the sixth-generation fighter, says new digital technologies will give NGAD “omniscient situational awareness”.
says new digital technologies will give NGAD “omniscient situational awareness”.
Qué batallas aéreas? Qué ventaja numérica china presente o futura???
Aqui, poniendo un poco de "omniscient situational awareness" al diseño.
Atticus escribió:says new digital technologies will give NGAD “omniscient situational awareness”.
Ah, pues ya me quedo mas tranquilo. Aqui, poniendo un poco de "omniscient situational awareness" al diseño.
By Mark Pomerleau
May 2, 2018
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Known as Project Maven, the DoD initiative aims to accelerate the integration of big data and machine learning, first focusing on processing of full motion video from tactical drones and from medium altitude sensors.
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To exemplify the problem, military personnel at the annual GEOINT symposium in Tampa, Florida in late April said in fiscal 2017, 127 terabytes of captured enemy data was collected. In addition, the annual video that Central Command collects could cover 325,000 feature films and the annual signals intelligence Central Command collects is equal to roughly 5.5 million songs.
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