Spintronics based Systems for AI Nano Robots

Sarkar, Sampreet; Alam, Syed Intakhab; Ravindran, Varun; Banerjee, Arpan; Debnath, Arghya; Ghosh, Ankush

doi:10.1109/gucon.2018.8674931

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…For example, [84] demonstrated an on-chip nano-electronic-based chemical signaling technique for the investigation and improvement of sustainable energy technologies. [85] presented a straintronicsbased nanorobotic system and its VLSI architecture. Straintronics or strain-based spin electronics is an emerging field of IC fabrication technology for modern and future electronics.…”

Section: A Physical Network (Pn) Tiermentioning

confidence: 99%

Networking Systems of AI: On the Convergence of Computing and Communications

Song

Zhang

et al. 2022

IEEE Internet Things J.

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with the focus on six areas: transparency and accountability; ethics and fairness; the preservation of privacy and security; human rights, diversity and inclusivity. It maximizes the benefits of AI while managing the disruption of its implementation. T-mobileFrom AI to VR and Beyond: T-Mobile Accelerator Named Class of 2020 Startups [29], is driving the development in AI, drones, robotics, autonomous vehicles and more on the carrier's nationwide 5G/4G networks. China Mobile China Mobile, Haier and Huawei jointly [30] launched the world's first AI+5G interconnected factory at the 2019 World Industrial Internet Conference (WIIC) in Qingdao. This improvement refines future smart manufacturing by innovating and transforming enterprise organizations, business models, and ICT technologies, and integrating key technologies of AI and 5G.

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Section: A Physical Network (Pn) Tiermentioning

confidence: 99%