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뉴로모픽 컴퓨팅: AI를 넘어 혁신을 이끄는 뇌 영감 기술

IBM의 TrueNorth 칩은 2014년에 발표되었으며, 단일 칩에 1,000,000개의 뉴런과 256,000,000개의 시냅스, 54억 개의 트랜지스터를 탑재하고 전력은 100 mW 미만으로 작동한다. Intel의 Loihi는 2017년 발표된 뉴로모픽 칩으로, 128개의 코어, 130,000개의 뉴런, 100,000,000개의 시냅스를 구현하고 칩 내부 학습 엔진으로 시냅스 가중치를 학습할 수 있다.
8월 31, 2025

Technology News

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    October 21, 2025, 8:34 AM EDT. Muon Space announced an agreement with SpaceX's Starlink to integrate its mini laser terminals into Muon's Halo satellite platform, delivering persistent optical connectivity in orbit. The system enables real-time tasking, payload operations, and high-bandwidth data streaming with speeds up to 25 Gbps at distances up to 4,000 km, reducing reliance on ground networks. By linking Muon's satellites to Starlink's global network, customers gain continuous, on-orbit access to data and constellations, enabling new business models where spacecraft act as always-on nodes with Earth-based cloud-like responsiveness. Executives call the move a sea change in space ops, turning Halo into an active node on Starlink's in-space laser mesh and delivering ultra-low latency to terrestrial points of presence.
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    October 21, 2025, 8:30 AM EDT. Channel 4's Dispatches episode, Will AI Take My Job?, argues that AI pose a genuine threat to employment, estimating up to 8 million UK roles at risk as automation scales across sectors like call centers, translation, and design. The show adds a provocative twist: its presenter, Aisha Gaban, is entirely AI-Channel 4's first synthetic host-demonstrating how authority can be produced by code. In side-by-side tests, humans (doctor, lawyer, musician, and photographer) beat AI on nuance, yet machines proved faster and cheaper. The piece concedes some practical benefits, such as AI assisting overburdened professionals, but insists the broader ethics of deployment and environmental costs must be reckoned with. Overall, a stark, sometimes sardonic look at the future of work and automation.
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    October 21, 2025, 8:28 AM EDT. AI-generated images of starving children and refugees are multiplying across the internet, raising urgent ethical questions about bias in generative models and the degradation of real suffering into stock-like visuals. New research by Dr. Arsenii Alenichev shows a market for "poverty porn" built on synthetic photos that can mislead audiences even when labeled as AI. As these images become more photorealistic, distinguishing fact from fabrication will grow harder, risking stereotypes and harm to the people depicted. NGOs have long pressed for ethical storytelling, but funding cuts and pressure to perform can push marketers toward cheap AI stock imagery. The debate now centers on responsibility, consent, and guardrails to curb exploitation while preserving the power of visual storytelling.