Realizing Molecular Machine Learning through Communications for Biological AI: Future Directions and Challenges

Autor: Balasubramaniam, Sasitharan, Somathilaka, Samitha, Sun, Sehee, Ratwatte, Adrian, Pierobon, Massimiliano

Artificial Intelligence (AI) and Machine Learning (ML) are weaving their way into the fabric of society, where they are playing a crucial role in numerous facets of our lives. As we witness the increased deployment of AI and ML in various types of de

Externí odkaz: http://arxiv.org/abs/2212.11910

Realizing Molecular Machine Learning through Communications for Biological AI: Future Directions and Challenges.

Autor: Balasubramaniam S; School of Computing, University of Nebraska-Lincoln, NE, USA., Somathilaka S; School of Computing, University of Nebraska-Lincoln, NE, USA.; Walton Institute, South East Technological University, Ireland., Sun S; School of Computing, University of Nebraska-Lincoln, NE, USA., Ratwatte A; School of Computing, University of Nebraska-Lincoln, NE, USA., Pierobon M; School of Computing, University of Nebraska-Lincoln, NE, USA.

Publikováno v: IEEE nanotechnology magazine [IEEE Nanotechnol Mag] 2023 Jun; Vol. 17 (3), pp. 10-20. Date of Electronic Publication: 2023 Apr 13.