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Jason Mars

A look back at 25 years of University of Michigan innovation in computer architecture

Nine papers by EECS researchers have been highlighted as among the most significant of the last 25 years in an ISCA retrospective.

Researchers leverage AI to fight online hate speech

University of Michigan researchers have developed a new hate speech detection tool that uses deep learning to more accurately classify hateful content online.

Two projects recognized with JP Morgan Chase Faculty Research Award

The award supports industry collaboration with innovative and influential research in the field of artificial intelligence.

Three faculty inducted into MICRO Hall of Fame

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

Five EECS faculty and alumni recognized for business success

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

Helping drivers use smart cars smarter

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

Bringing smart banking to market

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.

CSE-based startup Clinc receives $6.3M in funding to further develop intelligent banking assistant

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

For Black History Month, CSE Spotlights Faculty and Alumni in Academia

In this article, we profile three CSE faculty and three of our alumni.

Clinc launches Finie, an AI personal assistant for mobile banking

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.

CSE-based startup receives funding to develop systems based on intelligent personal assistant technology

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.

Tracking and mitigating tail latency in data centers

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

Two papers by Michigan researchers chosen as IEEE Micro Top Picks

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

Jason Mars receives CAREER Award to advance system architectures for artificially intelligent services and applications

The award will enable Prof. Mars to understand how future cloud and mobile systems should be designed to support increasing demand from users of intelligent assistants.

U-M, IBM partner on advanced conversational computing system

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

Researchers Receive NSF/Intel Award to Develop Visual Recognition System for Wearable Devices

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

Meet Sirius: An Open-Source Digital Assistant

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 Allows Data Center Servers to Adapt to Changing Environments with Breakthrough Compiler Technology

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

Jason Mars Selected as Program Chair for CGO 2015

Mars' current research interests include cross-layer systems in software and hardware, datacenter and warehouse-scale computer architecture, and hardware/software co-design.