During the first half of 2021, the Taiwanese AI ecosystem reached a significant milestone with Appier’s public listing in Japan, becoming the first Taiwanese startup to officially achieve unicorn status. Additionally, AI chip startup Kneron received funding and resources from major electronics manufacturers Hon Hai and Winbond at the beginning of the year, signaling a continuing demand for increasingly higher-efficiency computing capabilities from major technology companies.
https://meet-global.bnext.com.tw/articles/view/47466?utm_source=copyshare
同時也有10000部Youtube影片,追蹤數超過2,910的網紅コバにゃんチャンネル,也在其Youtube影片中提到,...
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ai accelerator chip 在 國立陽明交通大學電子工程學系及電子研究所 Facebook 的最讚貼文
(2019.4.22)#Talk Ultra-Low-Power Computing Hardware Design in the Era of AI and ML
#Welcome all to come ~~~
#Time
April 22, 2019 ( Monday 10:00AM—12:00PM )
#Venue
R108,1F Engineering Building 4, NCTU
交通大學工程四館一樓知新廳(108室)
#Speaker
Dr. Mingoo Seok / Associate Professor
Dept. of Electrical Engineering, Columbia University
#Host
Dr. Po-Hung Chen 陳柏宏/ Associate Professor
Institute of Electronics, NCTU
#Language
English
#Abstract
Computing technology has been the backbone of our society. Its importance is hard to overemphasize. Today, we again confirm its extreme importance with recent advances in artificial intelligence and deep learning. Those emerging workloads impose an unprecedented amount of arithmetic complexity and data access beyond our existing computing systems can barely handle. Across the computing systems from data centers, to mobile, and to extreme implants will face a major challenge in achieving desirable speed, energy-efficiency, and accuracy for truly enabling intelligent systems. In this seminar, we will outline the important bottlenecks to designing ultra-low-power computing hardware for AI and ML workloads, notably the end of Moore’s Law and the memory wall problem. We will then discuss several approaches that our group has been working on, including in-memory computing, hybrid analog-digital computing, and digital multi-core accelerator, and nanowatt DVS hardware. We will introduce several test-chip prototypes and their measurement results.
https://www.facebook.com/events/295641521103241/?ti=cl
ai accelerator chip 在 AppWorks Facebook 的最佳貼文
【Demo Day #17 精彩回顧 - M2commElite】
來自香港的 M2commElite,致力於為 IoT 提供系統單晶片(SoC,System on a Chip) 的解決方案。比起使用傳統的 Wifi 和 Cellular 等解決方案,M2commElite 的晶片收訊範圍可達 20 公里,並減少耗電量讓其電力可維持兩年,還能支援不同地區的網路系統,大幅改善使用傳統解決方案的成效。在台灣,M2commElite 已有與許多不同產業合作的經驗,從智慧停車感應器、共享單車的追蹤到氣溫、濕度監控系統等廠商,皆有使用 M2commElite 的晶片技術。
➡AppWorks Accelerator #18 正在招募 AI & Blockchain 團隊!現在就申請加入大東南亞區最大的創業者社群:http://bit.ly/2S7sK9J
ai accelerator chip 在 AI-Chip | A list of ICs and IPs for AI, Machine Learning and ... 的推薦與評價
The Renesas accelerator is based on the processing-in-memory (PIM) architecture, an increasingly popular approach for AI technology, in which multiply-and- ... ... <看更多>
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