Lingjia Tang

This honor recognizes outstanding researchers with eight or more papers at the International Symposium on Microarchitecture.

Nominees were selected based on their career accomplishments, impact in their field, and contributions to their community.

Tang’s project will redesign data center systems to support large-scale use of hardware accelerators to meet future computational demand.

This conversational in-vehicle digital assistant can respond to drivers’ questions and commands in natural language

Jason Mars, CEO of Ann Arbor startup Clinc, was named #2 in Bank Innovations’s “10 Most innovative CEOs in Banking 2017” list. Clinc is leading the pack for development of intelligent banking assistant software.

Clinc has built Finie, the world’s most advanced voice-controlled A.I. platform for banking.

She recently helped develop a modular load tester platform for data centers, which is designed to help measure and mitigate tail latency.

Finie, which can be referred to as the “Siri” of personal banking, is an artificial intelligence platform for banks that helps customers talk to their bank accounts in a natural and conversational way.

Clinc has built Lucida, its state-of- the-art, open-source intelligent assistant and machine learning platform that allows developers and the open-source community to easily create and deploy personalized voice and vision-based intelligent assistants.

High tail latency has been identified as one of the key challenges facing modern data center design.

The two papers from Michigan introduced the Sirius personal digital assistant and the MBus bus for modular microcomputing systems.

The project aims to develop a cognitive system that functions as an academic advisor for undergraduate computer science and engineering majors at the university.

The researchers are finding a solution to implement state-of-the-art vision systems in wearable devices where there is little heat dissipation

Sirius as an important platform for research into the development of next-generation warehouse computing. It gives researchers a testbed for studying how the data centers that process voice-enabled queries should evolve.

Protean Code is an enabling technology for dynamically recompiling native applications and rebalancing the use of Warehouse Scale Computers resources as demands dictate.