George Howell

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George Howell

George Howell

@ghow01

Artificial Intelligence and Defense: Research & Analysis

Katılım Mart 2016
2.4K Takip Edilen703 Takipçiler
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George Howell
George Howell@ghow01·
Counter-drone isn’t a niche. It’s the leading edge of an air-defense rebuild the West deferred for twenty years. I put together a quick briefing document on some thoughts regarding the counter-drone (C-UAS) ecosystem. New models are emerging at speed. Counter-drone-as-a-service is already live and private infrastructure providers and critical facilities are being given the legal authority to take direct responsibility for their own airspace defense. Download the pdf here: drive.google.com/file/d/1KBRWvQ… #CUAS
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Tymofiy Mylovanov
Tymofiy Mylovanov@Mylovanov·
The first private Anti-air company in the world works in Ukraine. Operators in Carmin Sky use joysticks to control automatic turrets. Sky Sentinel turrets, equipped with Browning machine guns are used. They locate target automatically and wait for permission to fire — DW. 1/
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Amir Husain
Amir Husain@amirhusain_tx·
Read this excellent report on counter UAS systems from George Howell of RAINCLOUD Defense. He mentions the importance of #Hyperwar as an organizing framework for counter-drone systems. Ultimately, autonomous drones are taking us all the way to a collapsed OODA loop. Learn more: raindefense.ai
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Amir Husain
Amir Husain@amirhusain_tx·
Very pleased to announce that General John R. Allen and I have launched Hyperwar.net - a hub for the ideas, publications, and media shaping #Hyperwar. Hyperwar is the emerging doctrine that defines how autonomy, AI, and machine-speed conflict will reshape defense. Since we first defined it in 2017, it has entered military training programs, influenced defense technology development, and become a widely cited term in strategic literature. Hyperwar.net is an effort to bring structure, reference, and clarity to this ongoing evolution. We’ll continue to build this out over time. LINK: hyperwar.net
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War Archive Clips
War Archive Clips@WarArchiveClips·
"Do you want to know how difficult it is to confront FPV drones on the battlefield? And how a child controlling one remotely can take out a soldier with long military experience? Watch this video… They decided to try it themselves and were shocked—they didn’t know how to deal with them. That’s why the war in Ukraine is so tragic."
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ORF
ORF@orfonline·
From #nuclear tech to #AI, #biotech & satellites, dual-use technologies power growth but carry risks of misuse. The core challenge: enabling innovation while preventing coercion, #cyber threats & weaponisation: @lakshmyrkrish or-f.org/37957
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How To AI
How To AI@HowToAI_·
someone built an OPENSOURCE MILITARY RADAR that tracks multiple targets up to 20km away. contractors charge a quarter-million dollars for this tech. one dev just put the entire github repo online for free. pcbs, fpga code, schematics, python gui. all under MIT license..
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Alrightfans MBE
Alrightfans MBE@alrightfans·
not a fan of the sun but fuck it roll up roll up let me entertain you and all that
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Modern War Institute
Modern War Institute@WarInstitute·
"The United States cannot treat AI advantage as a stockpile—a lead built on breakthrough discoveries that adversaries will take years to replicate. Idea fluidity renders this paradigm obsolete." mwi.westpoint.edu/you-cant-stock…
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Grummz
Grummz@Grummz·
I don't mean to alarm anyone, but there is now a social media site for bots. They are already talking and posting. Humans welcome.
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Palmer Luckey
Palmer Luckey@PalmerLuckey·
Every airframe, flight, and crash in this video was paid for by Anduril, not taxpayers. We believe so much in Omen that we spent five years building on our own dime. Thousands of miles of range from a Group 3 VTOL that can carry hundreds of pounds of payload is a game changer.
Anduril Industries@anduriltech

Omen is not just a concept. Anduril started building Omen in 2019, flew the first Omen demonstrators in 2020, and has logged hundreds of flight hours across 30+ prototypes. Today, Omen is the first tail-sitter airplane with a mass-production contract.

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Peter H. Diamandis, MD
Peter H. Diamandis, MD@PeterDiamandis·
AI is no longer a sector. It IS the economy.
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George Howell
George Howell@ghow01·
As industrialized warfare collides with rapid technological attrition, defense supremacy will not be determined by who builds the best drone, but by who can outproduce, out-iterate, and out-adapt the fastest. Static acquisitions and niche innovation are insufficient. What is needed are Defense Foundries: integrated production ecosystems that merge engineering, automation, and software to manufacture and evolve entire cohorts of uncrewed systems on demand. Unlike traditional factories built for repetition, foundries are designed for adaptability: engineered to retool quickly, integrate new technologies, and sustain output under pressure. This paper introduces the Defense Foundry Model as a strategic framework for national industrial resilience, proposing a shift in focus from platform procurement to agile production capabilities, aligning military needs, government policy, investor incentives, and industrial capacity under one unifying model.karveinternational.com/insights/the-d…
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Atoms Not Bits
Atoms Not Bits@AtomsNotBits·
3D-Printed Drones, Wildfire Tech, and UGV Integrations Daily Hard Tech Headlines: - @K9DefenseTech, the Huntsville-based UAS company, announced that the Army’s 3rd Combat Aviation Brigade has 3D-printed, assembled, and completed a K9 Genesis UAV on base using the company’s open-source wiki, files, and guides. - @HavocAi_USV has teamed up with Ilmor Engineering Ltd., a leading maritime engine maker, to bring advanced electric propulsion into its autonomous vessel platforms. - Korean Air has secured a partnership with @anduriltech. The collaboration focuses on UAS for wildfire response. - @einrideofficial, the Swedish autonomy startup, has raised $100 million. The company develops autonomous trucking technology. - USA Rare Earth, Inc. (Nasdaq: USAR) has announced the acquisition of LESS COMMON METALS LIMITED, a critical producer of rare earths. The deal size sits at $100M. - Uber has acquired Segments ai, a data-labeling firm for autonomous systems. - American Pacific Corporation, a maker of materials used in solid rocket propulsion, has broken ground on its $100 million expansion in Cedar City, Utah. - Occidental Petroleum’s chemical division is being acquired by Berkshire Hathaway. The unit manufactures large-scale industrial chemicals used in biotechnology, construction, water treatment, and other sectors. The deal size sits at $9.7B - @Microsoft is expanding its clean power footprint in Japan with new solar deals from Shizen Energy Group, bringing its total commitment to 100 MW. - DEEP is scaling its U.S. presence with a $100 million push, setting up major manufacturing facilities in Florida and Texas. Central to the plan is Project Vanguard, a next-generation undersea habitat - @allencontrol has announced an integration of their C-UAS platform onto a Forterra UGV.
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Rohan Paul
Rohan Paul@rohanpaul_ai·
🇨🇳China unveils world's first brain-like AI Model SpikingBrain1.0 Upto 100X faster while being trained on less than 2% of the data typically required. Designed to mimic human brain functionality, uses much less energy. A new paradigm in efficiency and hardware independence. Marks a significant shift from current AI architectures Unlike models such as GPT and LLaMA, which use attention mechanisms to process all input in parallel, SpikingBrain1.0 employs localized attention, focusing only on the most relevant recent context. Potential Applications: - Real-time, low-power environments - Autonomous drones and edge computing - Wearable devices requiring efficient processing - Scenarios where energy consumption is critical This project is part of a larger scientific pursuit of neuromorphic computing, which aims to replicate the remarkable efficiency of the human brain, which operates on only about 20 watts of power. --- arxiv .org/abs/2509.05276
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Rohan Paul@rohanpaul_ai

SpikingBrain’s technical report reveals a new family of brain-inspired LLMs. Learn how its hybrid-linear attention, conversion-based training, and spiking neurons deliver over 100x speedups and unprecedented efficiency on non-NVIDIA hardware. 100x faster first token at 4M tokens, with training on about 2% of the usual data. Transformers slow down as sequences grow, because each new token checks many earlier tokens and the memory cache keeps growing. SpikingBrain mixes 2 cheaper attentions, linear keeps a small running summary, sliding-window reads only a short slice. The 7B model alternates these layers for near linear cost, the 76B model adds parallel branches and a few full layers. Feed forward blocks use Mixture of Experts, a router picks a small set per token so most weights stay idle. The key idea is adaptive threshold spiking, activations become integer counts during training then expand into sparse events at inference. A light conversion pipeline remaps a standard checkpoint, extends context to 128k, then finishes with supervised fine tuning. Everything runs on MetaX C550 GPUs, the 7B model keeps memory near constant as inputs grow and accuracy stays close to baselines. ---- Paper – arxiv. org/abs/2509.05276 Paper Title: "SpikingBrain Technical Report: Spiking Brain-inspired Large Models"

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