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pro vyhledávání: '"Woungang, Isaac"'
Given the extensive and growing capabilities offered by deep learning (DL), more researchers are turning to DL to address complex challenges in next-generation (xG) communications. However, despite its progress, DL also reveals several limitations th
Externí odkaz:
http://arxiv.org/abs/2407.07742
Inspired by the renaissance of optical computing recently, this poster presents a disruptive outlook on the possibility of seamless integration between optical communications and optical computing infrastructures, paving the way for achieving optical
Externí odkaz:
http://arxiv.org/abs/2406.00162
Autor:
Alakuijala, Minttu, McLean, Reginald, Woungang, Isaac, Farsad, Nariman, Kaski, Samuel, Marttinen, Pekka, Yuan, Kai
Natural language is often the easiest and most convenient modality for humans to specify tasks for robots. However, learning to ground language to behavior typically requires impractical amounts of diverse, language-annotated demonstrations collected
Externí odkaz:
http://arxiv.org/abs/2405.19988
Autor:
Hai, Dao Thanh, Woungang, Isaac
In accommodating the continued explosive growth in Internet traffic, optical core networks have been evolving accordingly thanks to numerous technological and architectural innovations. From an architectural perspective, the adoption of optical-bypas
Externí odkaz:
http://arxiv.org/abs/2402.11618