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The AESA radar for LCA Mk-2 being devolved by LRDE featuring 912 TRM. 🇮🇳 Qn Whether it's based on GaN or GaAs - unclear till now. GaN likely.

24,755 görüntüleme • 1 yıl önce •via X (Twitter)

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Chinese aircrafts are competitive, but time will tell about reliability. Since we've been discussing Chinese aviation lately, I want to show how Chinese aircraft are becoming increasingly competitive in a market traditionally dominated by the West and Russia. The J-35 and KF-21 are expected to enter the market only by the end of 2026 or early 2027. However, I have estimated their costs. I dare say that, with the current level of automation in the Chinese defense industry, the prices of these aircraft are likely to decrease even further. The Gripen and Su-35 are competitive, but what attracts most to the Su-35 is the R-37M missile, which has a range of up to 400 km and its radar irbis-E Reaching also 400km. It operationally both reaches 350 km would be already significant advantage without analogous. Western aviation remains expensive, and in my view, it will only become more competitive with the arrival of the AIM-260 missile, which has a range of over 300 km. Additionally, maintenance costs are very high, with the Gripen again standing out in that aspect as a cost-effective option for acquisition and maintenance. Another advantage are the interoperability on multiple terrains. Values are based on recent deals and local estimates. Costs can vary depending on the package. - J-10C: Cost: 40-50M. Radar: AESA KLJ-7A (~150-170 km). Missiles: PL-15 (~200-250 km). Maintenance cost per flight hour: ~$8,000-$9,000. - J-35 (FC-31): Cost: 70-85M. Radar: AESA (~200+ km). Missiles: PL-15 (~200-250 km); PL-21 (>300 km). Maintenance cost per flight hour: $10,000-$15,000. - Rafale: Cost: 80-120M. Radar: RBE2-AA AESA (~200 km). Missiles: Meteor (>150 km). Maintenance cost per flight hour: ~$16,000-$22,000. - Su-30: Cost: 50-86M. Radar: Bars PESA (~150-200 km). Missiles: R-37 (~300 km). Maintenance cost per flight hour: ~$10,000-$12,000. - Su-35: Cost: 80-90M. Radar: Irbis-E PESA (~350-400 km). Missiles: R-37M (~300-400 km). Maintenance cost per flight hour: ~$12,000-15,000. - F-16C/D (Block 70): Cost: 80-120M. Radar: APG-83 SABR AESA (~135-160 km). Missiles: AIM-120D (~160-180 km). Maintenance cost per flight hour: ~$25,000-$44,000. - Eurofighter Typhoon: Cost: 110-117M. Radar: Captor-E AESA (>200 km). Missiles: Meteor (>150 km). Maintenance cost per flight hour: ~$30,000-$45,000. - Gripen E: Cost: 85-120M. Radar: Raven ES-05 AESA (~200-250 km). Missiles: Meteor (>150 km). Maintenance cost per flight hour: ~$6,000-$7,000. - KF-21 Boramae: Cost: 70-110M. Radar: AESA (~150-200 km). Missiles: Meteor (>150 km). Maintenance cost per flight hour: ~$15,000-$20,000. - JF-17 Thunder (Block III): Cost: 40-60M. Radar: AESA KLJ-7A (~170 km). Missiles: PL-15 (~200-250 km). Maintenance cost per flight hour: ~$5,000-$11,000.

Patricia Marins

182,621 görüntüleme • 10 ay önce

🚨 THE RACE TO 6G JUST ACCELERATED. Northrop Grumman has developed a W-band GaN chip operating at up to 110 GHz and took it from concept to market-ready hardware in less than six months. The new gallium nitride chip operates in the W-band (75–110 GHz), a frequency range that delivers massive bandwidth, extremely high data rates, and much lower latency than current systems. What makes this impressive is the speed: the chip went from concept to market-ready hardware in less than six months through a U.S. government-backed microelectronics program. That’s unusually fast for advanced defense-grade semiconductors. The chip acts as a high-power signal amplifier that can strengthen wireless links while shrinking the size and power consumption of the hardware. It’s designed for military radar, secure satellite communications, and the coming wave of 6G networks. Why this matters: • W-band offers far more spectrum than current 5G bands, enabling much faster data transmission and higher-resolution sensing • Gallium nitride can handle significantly higher power and frequencies than silicon, making it ideal for these demanding applications • The rapid development cycle shows how public-private collaboration can accelerate critical semiconductor technologies • The same tech that strengthens military radar and satellite links will directly feed into future commercial 6G infrastructure The deeper implication: We’re watching the foundation of next-generation wireless and sensing systems being laid in real time. High-frequency GaN chips like this won’t just improve existing radar and satellite systems they’re likely to become core building blocks for 6G, autonomous systems, and advanced defense platforms. The fact that this moved from lab to market in under six months suggests the pace of high-frequency electronics is accelerating dramatically. The future of wireless isn’t just faster. It’s operating at frequencies most people have never heard of and it’s being built right now. How soon do you think W-band and GaN technology will start appearing in everyday 6G devices? Follow for more frontier semiconductors, defense tech, and next-generation wireless systems.

TheNewPhysics

22,647 görüntüleme • 2 ay önce

I believe that StoryDiffusion has the potential to be Animatediff's complex motion sister-model! While AD is amazing for granular control, micro-motion and all kinds of abstract motion, it fails at complex realistic motion - walking, human movements, cars, etc. StoryDiffusion seems very promising for this + also has characteristics that will likely make the community very receptive to it and likely to extend its capabilities: 2) Appealing base-model results - likely to get the community excited - feels like significantly better realistic motion than AD 2) Modular - their approach is built with a number of components that can be combined and taken apart - it works by generating consistent images, then animating them together - each of these stages can likely be upgraded, used and influenced in different ways. 3) Flexible - they demonstrate a bunch of different conditioning options 4) Likely easy on RAM - it's based on SD 1.5 + authors mention precautions to reduce RAM consumption 5) Built to plug into the existing ecosystem - e.g. the fact that it works with the SD1.5 ecosystem will give it a huge advantage! While it's very early to say - e.g. the video model hasn't even been released yet! - it does seem very promising. With 9 months of SD1.5/Animatediff-esque progress improving every element of it, I can see an an extremely extended version of this beating Sora + running for a fraction of the compute resources on a consumer GPU. Together with Animatediff to drive the micro-motions and abstract stuff, it could produce be extraordinary/otherworldly/insane/beautiful stuff. This is the first open video model I've been excited about since Animatediff - though cautiously optimistic! Link here:

POM

22,141 görüntüleme • 2 yıl önce