Samin Aref
@samin.mas.to.ap.brid.gy
Researcher and educator
Faculty at the University of Toronto
Networks, Machine Learning, Operations Research, and (Social) Data Science (Reblog⇏Endorse)
[bridged from https://mas.to/@samin on the fediverse by https://fed.brid.gy/ ]
Faculty at the University of Toronto
Networks, Machine Learning, Operations Research, and (Social) Data Science (Reblog⇏Endorse)
[bridged from https://mas.to/@samin on the fediverse by https://fed.brid.gy/ ]
🧵 The growing use of Large Language Models (LLMs) has raised economic and environmental concerns about their resource inefficiency in inference. Even after training, serving LLMs to each user among millions of users requires substantial energy and water for cooling to […]
[Original post on mas.to]
[Original post on mas.to]
April 24, 2025 at 11:13 PM
🧵 The growing use of Large Language Models (LLMs) has raised economic and environmental concerns about their resource inefficiency in inference. Even after training, serving LLMs to each user among millions of users requires substantial energy and water for cooling to […]
[Original post on mas.to]
[Original post on mas.to]
In a joint work with SickKids, we investigated the organization of chromosomes within human cells using large-scale genomic data. We analyzed 3.8 million chromosomal interactions across 62 Hi-C datasets using supervised learning, network clustering, and computational […]
[Original post on mas.to]
[Original post on mas.to]
November 20, 2024 at 9:07 PM
In a joint work with SickKids, we investigated the organization of chromosomes within human cells using large-scale genomic data. We analyzed 3.8 million chromosomal interactions across 62 Hi-C datasets using supervised learning, network clustering, and computational […]
[Original post on mas.to]
[Original post on mas.to]
In a joint work with The Hospital for Sick Children, we investigated the organization of chromosomes within human cells using large-scale genomic data. We analyzed 3.8 million chromosomal interactions across 62 Hi-C datasets using supervised learning, network clustering, and computational […]
Original post on mas.to
mas.to
November 20, 2024 at 8:57 PM
In a joint work with The Hospital for Sick Children, we investigated the organization of chromosomes within human cells using large-scale genomic data. We analyzed 3.8 million chromosomal interactions across 62 Hi-C datasets using supervised learning, network clustering, and computational […]