Back to news

November 17, 2021 | International, Aerospace, Naval, Land, C4ISR, Security

Contracts for November 16, 2021

On the same subject

  • US nuclear submarine visits Western Australia as allies increase defence preparedness

    August 4, 2023 | International, Naval

    US nuclear submarine visits Western Australia as allies increase defence preparedness

    A U.S. Navy nuclear submarine arrived in Western Australia on Friday as allies Canberra and Washington deepen defence ties and prepare to transfer nuclear submarine capability to Australia.

  • To maintain tech edge, US seeks export controls on AI

    November 21, 2018 | International, C4ISR

    To maintain tech edge, US seeks export controls on AI

    By: Kelsey D. Atherton In just two words, the phrase “artificial intelligence” captures a deep techno-utopian promise, the notion that through craftsmanship humans can create learning and thinking machines outside the processes of organic life. AI is typically the realm of technologists and science fiction writers. Now it is also in the world of export controls prohibitions and restrictions on technologies as overseen by the Department of Commerce. In a proposed rule announced Nov. 19, the Bureau of Industry and Security wants to set out guidelines establishing “criteria for identifying emerging technologies that are essential to U.S. national security.” The stated goals of such controls are tied to both security and protectionism for existing American industry, especially the science, technology, engineering and manufacturing sectors. The proposed rules encompass 14 technologies, covering brain-computer interfaces to advanced surveillance technology. Nestled in that list of technologies is “artificial intelligence (AI) and machine learning technology,” which is further broken into 11 related tools. Here is a list of all the kinds of AI that the new rules seek to put under Commerce export controls: Neural networks and deep learning (e.g., brain modelling, time series prediction, classification) Evolution and genetic computation (e.g., genetic algorithms, genetic programming) Reinforcement learning Computer vision (e.g., object recognition, image understanding) Expert systems (e.g., decision support systems, teaching systems) Speech and audio processing (e.g., speech recognition and production) Natural language processing ( e.g., machine translation) Planning (e.g., scheduling, game playing) Audio and video manipulation technologies (e.g., voice cloning, deepfakes) AI cloud technologies AI chipsets Several of these are as much mathematical concepts, or processes, as they are distinct, controllable technologies. Others, like AI cloud technologies, suggest always-online servers, which by the very nature of the internet, are difficult to control within borders. Tackling an entire technological field, especially one with as low a barrier to entry as coding, is a tricky proposition, even in the instances where the technology is clearly defined. Why might the White House go through all this trouble? “These revisions could compose an important element of a strategy of targeted countermeasures against the near-term threat posed by China's tactics for tech transfer and the long-term challenge of China's emergence as a powerhouse in innovation,” said Elsa B. Kania, adjunct fellow at the Center for New American Security. “However, the revision of this traditional mechanism for today's challenges is inherently challenging, particularly when development is driven by commercial technologies.” Unlike, say, controlling the components and designs of missiles in the Cold War, many of the technologies covered under these proposed rules have both commercial and military applications. We need not look abroad to find this. Project Maven, the tool Google created to process images collected from drones, was built on top of an open-source library. Identifying objects in images is hardly a military-specific task. Should companies within the United States be restricted in how they create, sell and share those same tools with researchers and commercial companies outside American borders? “China's national strategy of military-civil fusion, which seeks to create and leverage synergies among defense, academic, and commercial technological developments in dual-use technologies, increases the ambiguity and uncertainty of tech transfer and collaboration,” Kania said. “That is, the boundaries between defense and commercial technologies can become quite blurred as a result of the nature of these technologies and the Chinese government's strategy for their integrated development.” Putting in place controls to hinder the free flow of AI between American companies and businesses abroad may mitigate that risk somewhat, but countries set on acquiring the tools can pursue research by other means, including technology transfers, espionage, theft through hacking, or even straightforward investment and acquisition. Staying ahead in artificial intelligence likely cannot be done through commerce restrictions alone. “The U.S. must recognize that such controls may slow and hinder China's advances in these emerging technologies, but China's emergence as a powerhouse and would-be superpower in such emerging technologies will remain a critical long-term challenge,” Kania said. “We must not only pursue such defensive countermeasures, but also undertake a more offensive approach to ensuring future American competitiveness through investing in our own innovation ecosystem.” https://www.c4isrnet.com/it-networks/2018/11/20/to-maintain-tech-edge-us-seeks-export-controls-on-ai

  • India looks to make $25B from defense production by 2025

    August 7, 2020 | International, Aerospace, Naval, Land, C4ISR, Security

    India looks to make $25B from defense production by 2025

    By: Vivek Raghuvanshi NEW DELHI — The Indian government on Monday introduced a new draft policy that sets a $25 billion defense production target, including making $5 billion from exports, by 2025. The Defence Production and Export Promotion Policy is meant to bolster local production of weapons and platforms by developing “a dynamic, robust and competitive” defense industry. The draft policy also said the Ministry of Defence will set up a technology assessment cell to assess industry's ability to design, develop, produce and re-engineer assembly lines to manufacture major systems such as armored vehicles, submarines, fighter aircraft, helicopters and radars. “The DPEPP 2020 is envisaged as overarching guiding to provide a focused, structured and significant thrust to defense production capabilities of the country for self-reliance and exports,” the MoD said. However, some defense experts and analysts are unimpressed with the draft policy. Amit Cowshish, a former financial adviser for acquisition with the MoD, said the DPEPP is high on rhetoric but low on specifics. India's current defense production turnover is about $11.42 billion. Of this, $9 billion comes from state-owned enterprises and ordnance factories, while the private sector accounts for $2.42 billion. From the total amount, $1.53 billion comes from export business. It disregards financial reality, which is grimmer now due to the rampant pandemic than was the case in the past,” Cowshish said, referring to the spread of the coronavirus that has hit economies worldwide. A more productive defense industry in India will depend on how much money the government can spare for local procurement as well as the availability of materiel in the domestic market — two factors that should be a matter of concern, particularly with export targets, according to Cowshish. Currently, India spends about $18.52 billion annually on weapons and platform purchases, out of which 60 percent is sourced from domestic companies, with remaining supplies coming from foreign vendors. About $11 billion of those appropriated funds go toward India's 50 state-owned laboratories focused on defense research and development, nine state-owned companies, and 41 ordnance factories. Conversely, private defense companies, including 3,500 micro and small enterprises, get a little over $2 billion from this. A CEO of a private defense company in India, speaking to Defense News on condition of anonymity, said the draft policy fails to provide “a clear road map and direction for streamlining defense procurement and production.” He argued that defense production will only improve if there's mutual trust, hand-holding, active participation and patience in the development process between the private and public sector. Senior executives at the state-owned enterprises Hindustan Aeronautics Limited and Bharat Electronics Limited would not comment on the draft policy, saying they are not authorized by the government to comment on MoD policy issues. However, Venkatesh Damal Kannan, a former research and development director with Hindustan Aeronautics, said achieving the $25 billion target would be possible if the current capital allocation of $18.52 billion for purchasing weapons and platforms is doubled. There should also be a willingness from the Indian military to field a larger number of indigenous products, Kannan added, and improved bureaucratic processes in the MoD. However, Cowshish said the military's arms requirements should not be held hostage by efforts for indigenization. “In the meantime, especially in situations like the one we are faced with vis-a-vis China, there is no alternative to buying equipment, platforms, ammunition from abroad if what is needed is not available in India,” he said. https://www.defensenews.com/global/asia-pacific/2020/08/06/india-looks-to-make-25-billion-in-defense-production-by-2025/

All news