Esperanto Technologies Recognized by IBT as a Top Artificial Intelligence Startup for 2021
Blog
June 15th, 2021
Archives News
Esperanto Technologies has been designated a “Top Artificial Intelligence Startup for 2021” by International Business Times.
Click here for the IBT press release: IBTimes Releases List of Top AI Startups and Scaleups.
David Kaufman at International Business Times (IBT) wrote:
“Congratulations… Esperanto Technologies has been designated as one of International Business Times’ Top Artificial Intelligence Startups for 2021. That means your company program is now ranked among the best in the United States, as verified by the IBTimes editorial and data partners. We commend you for your extraordinary service to the field and your industries.”
Video: Art Swift @RISC-V Summit 2020
Blog
Apr 16, 2021
Archives News
Watch Art Swift’s video from the December 2020 RISC-V Summit: “Esperanto Accelerates Machine Learning with RISC V.”
Posted by RISC-V International on Apr 16, 2021.
Art Swift Delivers Keynote and Speaks on Panel at COOL Chips 24
Event
Date
April 13 – 14, 2021
Venue
Online Event
About Esperanto Technologies:
Esperanto Technologies develops high-performance, energy-efficient computing solutions for Artificial Intelligence / Machine Learning based on the open standard RISC-V instruction set architecture. Esperanto is headquartered in Mountain View, California with engineering sites in Portland, Oregon and Austin, Texas in the United States and multiple sites in Europe. Esperanto has brought together a seasoned team of experienced processor and software engineers with the goal of making RISC-V the architecture of choice for compute-intensive applications such as AI and Machine Learning. For more information, please visit https://www.dev.esperanto.ai/
Archives News
Art Swift, President and CEO of Esperanto Technologies™, will deliver a keynote and also speak on a panel at COOL Chips 24.
- When: April 14 and 15 (Japan time.)
- Where: Virtual event, online.
- Agenda: COOL Chips www.coolchips.org/2021/advance-program/
Keynote: High-Efficiency Inferencing for Scalable Machine Learning
- Speaker: Art Swift (Esperanto Technologies)
- Abstract: The extraordinary market demand for large-scale machine learning solutions requires more than GPUs, FPGAs, or large multiplier arrays. These approaches deliver high performance, but at high costs: high power consumption, prohibitively complicated programming models, and unacceptable inflexibility. Esperanto Technologies CEO Art Swift will describe the architectural approach and design methodology for the company’s first supercomputer-on-chip solution for ML inferencing acceleration. The ET-SoC-1 combines the traditional flexibility and programmability of CPU cores with the high efficiency of autonomous tensor processing to deliver unmatched system-level efficiency and all-layer ML acceleration. Every element of Esperanto’s integrated solution represents best-in-class technology: the simplicity of the RISC-V instruction set, proprietary instruction-set extensions for machine learning, an on-chip mesh interconnect, a uniquely optimized memory hierarchy, state of the art process technology, and custom low-voltage circuits. In this way, Esperanto delivers more performance per watt than existing products without compromising flexibility.
- When: April 15, 2021 (Japan time)
Panel Discussion: “Hot” Techs for “Cool” AI Computing: Do We have Enough Tricks?
- Organizer and Moderator: Masato Motomura (Tokyo Tech)
- Panelists:
Yusuke Doi (Preferred Networks, Japan)
Avi Baum (Hailo, Israel)
Art Swift (Esperanto Technologies, USA)
Mitsuhisa Sato (Riken, Japan) - Abstract: It is often mentioned that data is the new oil in the 21st century. Importantly, oil was able to drive industrial revolution only after the advent of combustion engine. By analogy, data can drive AI revolution only after the right silicon engines, i.e., cool chips. The panel will discuss hot topics regarding this important role that cool chips should fulfill for AI computing from various aspects.
- When: April 14, 2021 (Japan time)
About COOL Chips 24: See www.coolchips.org/2021/
Video: Art Swift @CES 2021! “RISC-V and the Future of Open-Source Computing”
In The News
January 11th, 2021
Archives News
Video from CES 2021: “RISC-V and the Future of Open-Source Computing”
Video from CES 2021: “RISC-V and the Future of Open-Source Computing”
- Calista Redmond, CEO, RISC-V International.
- Art Swift, CEO, Esperanto Technologies.
- Krste Asanovic, Chief Architect and Co-Founder, SiFive.
- Ted Marena, Sr. Business Director, RISC-V, Western Digital.
Esperanto Technologies Appoints Jin Kim as Chief Data Scientist and VP of Software
PRESS RELEASE
Dec. 9, 2020
About Esperanto Technologies
Esperanto Technologies develops high-performance, energy-efficient computing solutions for Artificial Intelligence / Machine Learning based on the open standard RISC-V instruction set architecture. Esperanto is headquartered in Mountain View, California with engineering sites in Portland, Oregon and Austin, Texas as well as Barcelona, Spain and other sites in Europe. For more information, please visit https://www.dev.esperanto.ai/
Archives News
Artificial Intelligence, Data Science Executive and Technologist Joins Esperanto’s Ground-breaking Team
MOUNTAIN VIEW, Calif., Dec. 9, 2020 – Esperanto Technologies™, developer of high-performance, energy-efficient computing solutions based on RISC-V for Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) applications, has appointed Jin Kim as Chief Data Scientist and VP of Software.
In this capacity, Jin will accentuate Esperanto’s leadership in delivering their ground-breaking accelerator chip for large-scale machine learning applications, with over 1000 RISC-V cores, specifically focusing on directing software development, data science research, and machine learning strategy and development. An executive, entrepreneur, and data scientist, Jin’s experience spans enterprise software products and services in AI, big data, and advanced analytics.
Prior to joining Esperanto, Jin led multinational engineering and marketing teams at both established and startup companies, including GraphSQL, Wave Computing, Objectivity, Skytree, Tom Sawyer Software, Vitria Technology, Tactica, and Trimeter Technologies. His technology focus encompasses markets for machine learning and deep learning; data management, integration, analytics and visualization; and mobile and cloud computing. Jin was the evangelist and technologist behind more than 60 innovative products, from concept to revenue. He earned his PhD in Computer Science and Engineering and BS in Electrical Engineering at Carnegie-Mellon University.
“We welcome Jin, who blends entrepreneurial, executive, and organizational leadership with his technology expertise in AI / ML/ DL, software, data science, and analytics.” said Art Swift, president and CEO of Esperanto.
“We are in the midst of a revolution, based on AI / ML/ DL, big data, and advanced analytics. This is an exciting time, and I am impressed with the leading-edge technology and high-performance, energy-efficient computing solutions Esperanto offers in these rapidly growing markets,” commented Jin Kim. “I am delighted to join the Esperanto team, expanding Esperanto’s strengths in AI and software leadership.”