The Tribes of Machine Learning and the Realm of Computer Architecture
Machine learning techniques have influenced the field of computer architecture like many other fields. This paper studies how the fundamental machine learning techniques can be applied towards computer architecture problems. We also provide a detailed survey of computer architecture research that employs different machine learning methods. Finally, we present some future opportunities and the outstanding challenges that need to be overcome to exploit full potential of machine learning for computer architecture.
Code (0)
등록된 구현이 없습니다.
Tasks
BIG-bench Machine LearningSurveySimilar Papers 제목 키워드 기반
Tensor networks for quantum machine learning
Once developed for quantum theory, tensor networks have been established as a successful machine learning paradigm. Now, they have been ported back to the quantum realm in the emerging field of quantum machine learning t…
Quantum Machine LearningTensor NetworksPut your money where your mouth is: Using deep learning to identify consumer tribes from word usage
Internet and social media offer firms novel ways of managing their marketing strategy and gain competitive advantage. The groups of users expressing themselves on the Internet about a particular topic, product, or brand …
MarketingThree AI-agents walk into a bar . . . . `Lord of the Flies' tribalism emerges among smart AI-Agents
Near-future infrastructure systems may be controlled by autonomous AI agents that repeatedly request access to limited resources such as energy, bandwidth, or computing power. We study a simplified version of this settin…
Signal Use and Emergent Cooperation
In this work, we investigate how autonomous agents, organized into tribes, learn to use communication signals to coordinate their activities and enhance their collective efficiency. Using the NEC-DAC (Neurally Encoded Cu…
Decision MakingMultilingual Machine Translation with Quantum Encoder Decoder Attention-based Convolutional Variational Circuits
Cloud-based multilingual translation services like Google Translate and Microsoft Translator achieve state-of-the-art translation capabilities. These services inherently use large multilingual language models such as GRU…
DecoderMachine TranslationTranslation