Mythic snags $40 million to advance AI chips

Mythic, founded by EECS aIumnus David Fick (CTO) and Mike Henry (CEO), raised $40M in investment to produce custom chips created to power AI applications. The company had its start in the Michigan Integrated Circuits Lab (MICL), where Fick was advised by, and Henry worked with as a postdoctoral researcher, Profs. David Blaauw and Dennis Sylvester. Among the first employees are alumni Laura Fick and Skylar Skrzyniarz, both also MICL students advised by Blaauw and Sylvester. [Full Story]

Related Topics:  Alumni  Blaauw, David  Entrepreneurship and Tech Transfer  Lab-Michigan Integrated Circuits (MICL)  Sylvester, Dennis  

Fall 2018: Quantum Nanotechnology

Course No.: EECS 498-003
Credit Hours: 3 credits
Instructor: Duncan Steel
Prerequisites: MATH 215, MATH 216, PHYSICS 240 and co-req of EECS 230 or equivalent

Course Description:
The development and application of nano-technology is impacting nearly all the fields of engineering, from those who are developing it to those who use it. Future engineers working to design new devices will need a skill set that is considerably broadened to include the behavior of materials and devices when they becomesufficiently small. Devices like transistors and quantum well lasers have already forced engineers to understand the impact of Fermi-Dirac statistics and energy quantization on devices. However, the emergent field of nano-technology is revealing that the concepts we have from our current scale devices are no longer adequate to predict correct device experience. Moreover, in this new regime, new physical properties are emerging that may revolutionize how we think about information, its storage, transmission and processing. This course introduces students to basic concepts that are relevant to novel device concepts. The course will explore the new properties of nano-vibrators, quantum LC circuits, the role of loss, the impact of the quantum vacuum on nano-switches, coherent superposition, quantum entanglement, light (one photon at a time) and quantum information and computing. You will learn a new way to think about how things work.
[More Info]

How May Mobility Is Spearheading Autonomous Driving In The Form Of Shuttle Services

This article describes how the startup May Mobility, cofounded by Prof. Edwin Olson, to getting to market first by focusing on autonomous shuttle service. [Full Story]

Related Topics:  Autonomous Vehicles  Entrepreneurship and Tech Transfer  Lab-Artificial Intelligence  Olson, Edwin  

Igor Markov's duplicate text detection system now integrated with conference management software

Prof. Igor Markov's duplicate text detection system, called DUDE, is now integrated with Softconf's conference management software. Softconf is an internet company dedicated to organizing conferences, workshops and other software development events. DUDE is now integrated with their signature product, START V2, which is a web-based solution for managing peer-reviewed conferences and workshops. [Full Story]

Related Topics:  Lab-Computer Engineering (CE Lab)  Markov, Igor  

Security of State Voter Rolls a Concern as Primaries Begin

This article describes steps being taken in Illinois, the lone state known to have its state election system breached in a hacking effort, regarding its election systems. It quotes Prof. J. Alex Halderman, who points out that many of the same weaknesses present in 2016 remain. [Full Story]

Related Topics:  Cybersecurity  Halderman, J. Alex  Lab-Software Systems  

Fall 2018: Reinforcement Learning (RL)

Course No.: EECS 498-006 and EECS 598-006
Credit Hours: 3 credits
Instructor: Satinder Baveja
Prerequisites: See instructor

Course Description:
This course will be a fast-paced programming-based introduction to both the fundamentals of Reinforcement Learning (RL) as well as some of the recent advanced and exciting ideas at the intersection of Deep Learning and RL (or DeepRL)
[More Info]

Fall 2018: Power Semiconductor Devices

Course No.: EECS 598-002
Credit Hours: 3 credits
Instructor: Becky Peterson
Prerequisites: EECS 320 or equivalent

Course Description:
Power devices are at the heart of all modern electronics, from the power grid and renewable energy to hybrid/electric vehicles, trains, space exploration, and industrial and consumer electronics. This course will cover design and operating principles of semiconductor devices for discrete and integrated power electronics. We will discuss the power MOSFET, IGBT, HEMT, thyristors, Schottky and PIN diodes, as well as emerging devicearchitectures. We will study the semiconductor materials, device fabrication and packaging required for power devices, including Si, GaN, SiC, and Ga2O3. Students will learn numerical device modeling using commercial software (Synopsys Sentaurus and Silvaco Atlas), and will do a final group presentation on a topicof their choice.
[More Info]

Fall 2018: Data Mining

Course No.: EECS 498-001
Credit Hours: 4 credits
Instructor: Danai Koutra
Prerequisites: EECS 281 or graduate standing in CSE

Course Description:
Unprecedented amounts of data are being generated daily everywhere -- on the web, social networks, mobile apps, supermarket transactions, movie and music services, traffic sensors, smart home devices, healthcare, and more. Methods for extracting nuggets of information from mountains of data are transforming the world: data-driven approaches are changing thescientific and decision-making processes and solving various societal problems. This course covers the fundamental concepts in data mining, focuses on methods and algorithms and, at thesame time, aims to equip the students with practical skills for mining of large-scale, real data. The topics that will be covered include big data systems, frequent itemsets, similarity and clusteranalysis, mining of networks / time series / data streams, and applications, such as recommendation systems, social network analysis and web search.
[More Info]

Fall 2018: Green Photonics

Course No.: EECS 598-004
Credit Hours: 3 credits
Instructor: Zetian Mi
Prerequisites: EECS 429 or equivalent

Course Description:
Energy, water, and environmental sustainability are among the most critical challenges we face in the next decades. Green Photonics is concerned with the application of semiconductor optoelectronics including light sources, detectors, and photovoltaic devices to these problems. The most familiar photonic technologies in this field are solar cells and LED lighting, which have had an enormous and growing impact over the past few decades. The course will cover the fundamentals of semiconductor photonic materials and devices, as well as new frontiers in green photonics, including integrated nanophotonic circuits and solar fuels. Important topics to be discussed include: solar cells, solar-to-hydrogen conversion, energy efficient nanophotonic devices including LEDs, lasers, and micro/nanoscale devices, as well as integrated nanophotonics.
[More Info]

Fall 2018: Computational Data Science

Course No.: EECS 598-003
Credit Hours: 3 credits
Instructor: Raj Nadakuditi
Prerequisites: Programming experience in MATLAB, C, C++, Python or R

Course Description:
See attached flyer
[More Info]

Fall 2018: Computer Hardware Design for Machine Learning

Course No.: EECS 598-005
Credit Hours: 3 (or 4 with an optional project)
Instructor: Zhengya Zhang
Prerequisites: EECS 427 or EECS 470

Course Description:
Machine learning has evolved rapidly in the last decade and it has become ubiquitous in applications from smart devices to self-driving cars. A key enabler of modern machine learning is the availability of low-cost, high-performance computer hardware, such as graphics processing units (GPUs) and specialized accelerators such as Googles tensor processing unit (TPU). New machine learning applications constantly impose new requirements and constraints on the hardware design. Hardware implementations must fit increasingly stringent area and power envelope. This course will survey the latest architecture and circuit designs for machine learning applications. Paper reviews and presentation will be the essential parts of this course. An optional unit can be earned by benchmarking or prototyping selected designs that leads to insightful conclusions.
[More Info]

Fall 2018: Introduction to Algorithmic Robotics

Course No.: EECS 498-005
Credit Hours: 3 credits
Instructor: Dmitry Berenson
Prerequisites: EECS 280 is required, EECS 281 and MATH 214 are recommended

Course Description:
Build the foundation for your future in robotics:

-Convex Optimization-Motion Planning-Grasping-Point Cloud Processing-Probabilistic Reasoning-Kalman and Particle Filters
[More Info]

Election audits to debut in Mich. 2018 race

This article describes new measures to bolster security for Michigans 2018 midterm elections. Prof. J. Alex Halderman points out that additional progress can occur in the stat's process for auditing of paper ballots. [Full Story]

Related Topics:  Cybersecurity  Halderman, J. Alex  Lab-Software Systems  

Charles and Patricia Krumm Endow the George I. Haddad Graduate Fellowship Fund

Alumni Charles and Patricia Krumm have established the George I. Haddad Graduate Fellowship Fund to support graduate students in Electrical and Computer Engineering. The endowment fund honors Charles Krumms former doctoral advisor and mentor, Prof. George Haddad, and his contributions to the field of electrical and computer engineering. [Full Story]

Related Topics:  Alumni  Haddad, George I.  

Free electrical engineering textbooks for students

A new textbook initiative spearheaded by faculty at University of Michigan, UC-Berkeley, and The University of Utah aims to ease the financial burden of college students in engineering courses by offering newly-published books for free online. [Full Story]

Related Topics:  Ulaby, Fawwaz  Undergraduate Students  

Hottest Major

In this article, the Ann Arbor Observer reports on the pressures that have emerged due to the exploding enrollments in computer science classes. According to CSE Chair Brian Noble, CSE is constantly recruiting in an attempt to hire more faculty to handle the load. [Full Story]

Related Topics:  Noble, Brian  

Igor Markov named a top Quora writer for fifth year in a row

Prof. Igor Markov has been named a top writer for 2018 on Quora, the question-and-answer site where questions are asked, answered, edited, and organized by its community of users. This is the fifth straight year that he has been ranked as a top writer on the site. [Full Story]

Related Topics:  Lab-Computer Engineering (CE Lab)  Markov, Igor  

Marlin P. Ristenbatt: In Memoriam

Marlin P. Ristenbatt, research scientist emeritus in the Department of Electrical Engineering and Computer Science, passed away March 2, 2018, at the age of 89. Since retiring in 1998, following a long and productive career as a teacher and researcher, he has remained closely affiliated with the Department. The Department salutes Marlin Ristenbatt and thanks him for all that he contributed to the department and the discipline. [Full Story]

U of M computer scientists might have solved mystery behind Cuba 'sonic attacks'

In this local news segment, Prof. Kevin Fu explains why the "sonic attacks" that poisoned diplomats in Cuba may have been the accidental effect of eavesdropping. [Full Story]

Related Topics:  Cybersecurity  Embedded Systems  Fu, Kevin  Lab-Computer Engineering (CE Lab)  

Duncan Steel Co-Editor-in-Chief of Encyclopedia of Modern Optics, 2nd edition

Duncan Steel, Robert J. Hiller Professor of Engineering, is Co-Editor-in-Chief of the second edition of the Encyclopedia of Modern Optics, published by Elsevier. Topics covered include classical and quantum optics, lasers, optical fibers and optical fiber systems, optical materials and light-emitting diodes (LEDs). [Full Story]

Related Topics:  Lab-Optics and Photonics  Optics and Photonics  Steel, Duncan  

Ali Mostajeran earns IEEE-SSCS Predoctoral Achievement Award

Ali Mostajeran, visiting scholar from Cornell University, received a 2018 IEEE-SSCS Predoctoral Achievement Award award. Mostajeran works with Prof. Ehsan Afshari researching novel millimeter-wave and terahertz electronics for imaging, biomedical hydration sensing, and communication applications. [Full Story]

Related Topics:  Afshari, Ehsan  

Louise Willingale Receives NSF CAREER Award to Advance Scientific Knowledge of Plasmas

Louise Willingale has received an NSF CAREER Award for her research project Relativistic Electron Driven Magnetic Reconnection." Magnetic reconnection occurs during high-energy-density phenomena such as solar flares and auroras, and is also relevant to the process of nuclear fusion. Willingale plans to conduct high-energy-density laboratory experiments at the University of Michigan T-cubed laser facility and with the HERCULES laser, both housed in the Center for Ultrafast Optical Science, to shed light onto the little understood process of magnetic reconnection and test the accuracy of existing theories. [Full Story]

Related Topics:  Optics and Photonics  Plasma Science and Engineering   Willingale, Louise  

Necmiye Ozay Receives ONR Young Investigator Award to Advance Research in Autonomous System

Necmiye Ozay received a 2018 Young Investigator Award from the Office of Naval Research (ONR) for her research project "Correct-by-construction Control with Non-asymptotic Learning, Estimation and Detection in-the-Loop." Her research will incorporate the latest advances in learning and estimation by developing new theory and algorithms that seamlessly blend adaptability, safety and correctness. The award comes from the Science of Autonomy Program, which emphasizes a multi-disciplinary approach to the development of future autonomous systems. [Full Story]

Related Topics:  Control Systems  Ozay, Necmiye  Robotics and Autonomous Systems  

Cuba "sonic attacks" - a covert accident?

The purported "sonic attacks" that sickened U.S. and Canadian government workers in Cuba last year could have been an accidental side effect of attempted eavesdropping, says Prof. Kevin Fu, who with his colleagues reverse-engineered the attacks in a lab. [Full Story]

Related Topics:  Cybersecurity  Embedded Systems  Fu, Kevin  Lab-Computer Engineering (CE Lab)  

Can sound be used as a weapon? 4 questions answered

Were foreign diplomats and tourists in Cuba attacked with a "sonic weapon" or was it something else? Prof. Kevin Fu and his collaborators demonstrate a rational, evidence-based explanation. [Full Story]

Related Topics:  Embedded Systems  Fu, Kevin  Lab-Computer Engineering (CE Lab)  

New computing system to enable deep space missions

A new radiation-hardened, multi-processor, Arm-based spacecraft processor is being developed at Michigan in a project led by Boeing and funded by NASA. Prof. Ron Dreslinski is leading the research at Michigan. [Full Story]

Related Topics:  Computer Architecture  Dreslinski, Ron  Lab-Computer Engineering (CE Lab)  Mudge, Trevor  

Comcast offers 1-gigabit service in SE Mich.

In this news report, Prof. Mosharaf Chowdhury comments on the potential impact of Comcast's forthcoming 1-gigabit residential and business service. [Full Story]

Related Topics:  Chowdhury, Mosharaf  Data and Computing  Lab-Software Systems  Networking, Operating Systems, and Distributed Systems  

BMW, Toyota invest in U-M startup May Mobility

May Mobility, the autonomous vehicle microtransit company co-founded by Prof. Edwin Olson to replace existing transportation systems with fleets of self-driving micro-shuttles, has announced that BMW i Ventures and Toyota AI Ventures have joined its investor-base. [Full Story]

Related Topics:  Autonomous Vehicles  Entrepreneurship and Tech Transfer  Lab-Artificial Intelligence  Olson, Edwin  

How Can We Trust a Robot?

This article by Prof. Benjamin Kuipers is featured in the March 2018 Communications of the ACM. Prof. Kuipers discusses how advances in artificial intelligence and robotics have raised concerns about the impact on our society of intelligent robots, unconstrained by morality or ethics. Includes a video interview with Prof. Kuipers. [Full Story]

Related Topics:  Artificial Intelligence  Kuipers, Benjamin  Lab-Artificial Intelligence  Robotics and Autonomous Systems  

BMW and Toyota are investing in a start-up that makes self-driving shuttles

May Mobility, cofounded by Prof. Edwin Olson, has received additional funding from BMW and Toyota for their autonomous shuttle technology. May hopes to get to market quickly by deploying shuttles on campuses and in other smaller-scale environments. [Full Story]

Related Topics:  Artificial Intelligence  Autonomous Vehicles  Entrepreneurship and Tech Transfer  Lab-Artificial Intelligence  

How Artificial Intelligence Is Going To Affect The Financial Industry In 2018

Prof. Jason Mars, cofounder (with Prof. Lingjia Tang and others) of the AI startup firm Clinc, is interviewed in this article on the AI-driven conversational interface Clinc has developed for the banking industry. Clinc had sales of $4.5M in 2017 and his partnering with USAA to roll out their technology. [Full Story]

Related Topics:  Artificial Intelligence  Entrepreneurship and Tech Transfer  Lab-Artificial Intelligence  Mars, Jason  Tang, Lingjia  

Prof. Michael Wellman participates in Asimov Memorial Debate

Michael Wellman, the Lynn A. Conway Professor of Computer Science and Engineering, participated in the recent Issac Asimov Memorial Debate on Artificial Intelligence, which was hosted by Neil deGrasse Tyson. You can see the entire debate in this video. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Artificial Intelligence  Wellman, Michael  

The Myth of the Hacker-Proof Voting Machine

This article describes the security holes that exist in today's electronic voting machines, including both the shortcomings of voting systems that do not provide paper backup and those of the systems that transmit electronic votes to counting centers. It quotes Prof. J. Alex Halderman, who points to flaws in the protections for vote transmission systems put forth by vendors of paperless systems. [Full Story]

Related Topics:  Cybersecurity  Halderman, J. Alex  Lab-Software Systems  

Pacemakers, defibrillators are potentially hackable

This article on the security of cardiac implants quotes Prof. Kevin Fu, who notes that limiting remote interactions would also address scenarios such as an old computer virus that unintentionally shuts down global operations of remote cardiac telemetry for hundreds of thousands of patients at once. [Full Story]

Related Topics:  Cybersecurity  Electronic devices  Fu, Kevin  Lab-Computer Engineering (CE Lab)  

Prof. John Laird and CSE Alumna Shiwali Mohan receive award for research on learning in autonomous intelligent agents

Prof. John Laird and CSE alum Shiwali Mohan have received the Blue Sky Award at the 2018 Association for the Advancement of Artificial Intelligence conference for their paper, Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Laird, John  

Kim Michelle Lewis Appointed Associate Dean at Howard University

Previously at Rensselaer Polytechnic Institute, Kim Michelle Lewis, Ph.D., has been appointed as associate dean for Research and Graduate Programs and full professor in the Department of Physics at Howard University. [Full Story]

Related Topics:  Alumni  

Chat tool simplifies tricky online privacy policies

Kang G. Shin, the Kevin and Nancy O'Connor Professor of Computer Science, and his collaborators have created an automated chatbot that uses artificial intelligence to weed through the fine print of privacy policies so that you will know what you're agreeing to. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Artificial Intelligence  Shin, Kang G.  

Heath Hofmann discusses transistors in troubled Toyota Prius

Prof. Heath Hofmann lends his expertise to the LA Times to describe current troubles with Toyota Prius software and hardware. Specifically, a fix made to the Prius is being blamed for reduced fuel efficiency. [Full Story]

Related Topics:  Automotive industry  Electric Vehicles and HEVs  Hofmann, Heath  

The Training Of Dr. Robot: Data Wave Hits Medical Care

This article reports on how machine learning is revolutionizing the process of making medical diagnoses. It opens by highlighting the work of Prof. Jenna Wiens and her collaborators in predicting a hospital patient's likelihood of developing a problematic C-diff infection. [Full Story]

Related Topics:  Artificial Intelligence  Big Data  Lab-Artificial Intelligence  Wiens, Jenna  

Prof. Wei Lu and What's Next In Neuromorphic Computing

Prof. Wei Lu and his team's work presented at IEDM 2016 was referenced in Semiconductor Engineering detailing how the commercialization of neuromorphic computing will require improved devices and architectures. [Full Story]

Related Topics:  Artificial Intelligence  Lu, Wei  Machine Learning  

Alfred Hero Illustrates Common Threads of Complex Networks in Distinguished University Professor Lecture

Alfred Hero explained how we can infer the intricate, hidden properties of a network in his Distinguished University Professor lecture, Locating the Nodes: From Sensor Arrays to Genomic Networks," held in the Rackham Amphitheatre. [Full Story]

Related Topics:  Data and Computing  Hero, Alfred  

Jia Deng selected for Sloan Research Fellowship

Assistant Professor Jia Deng has been selected for a 2018 Sloan Research Fellowship by the Alfred P. Sloan Foundation for his work in computer vision and machine learning. He directs the Michigan Vision & Learning Lab and his research seeks to enable computers to see and think like humans. [Full Story]

Related Topics:  Deng, Jia  Lab-Artificial Intelligence  

Shai Revzen Receives Inaugural Robotics Institute Teaching Award for his Hands-on Approach to Robotics Education

Prof. Shai Revzen was presented with the inaugural Robotics Institute Teaching Award for blazing a new pedagogical path in the teaching of robotics. Since coming to Michigan in 2012, Revzen established an active learning class at the senior undergraduate level, Hands on Robotics; added key components to the graduate course, Robotics Systems Lab; and created a new graduate course, "Comparative Biomechanics Seminar." [Full Story]

Related Topics:  Education  Revzen, Shai  

Michigan researchers predict emotions by examining the correlation between tweets and environmental factors

Research fellow Carmen Banea, alumna Vicki Liu, and Prof. Rada Mihalcea explored the concept of grounded emotions, focusing on how external factors, ranging from weather, news exposure, social network emotion charge, timing, and mood predisposition may have a bearing on ones emotion level throughout the day. [Full Story]

Related Topics:  Lab-Artificial Intelligence  Language and Text Processing  Mihalcea, Rada  

Risk Aware Autonomy - Moving Artificial Intelligence Forward

This short video highlights the work of CSE PhD student Dhanvin Mehta, who is working on an algorithm to help guide robots in uncertain environments with constantly changing variables, such as for autonomous vehicles driving among pedestrians who can suddenly change direction or speed without signaling. [Full Story]

Related Topics:  Graduate Students  Lab-Artificial Intelligence  

To Fight Fatal Infections, Hospitals May Turn to Algorithms

This article in Scientific American describes how machine learning is revolutionizing the process of making medical diagnoses. It opens by highlighting the work of Prof. Jenna Wiens and her collaborators in predicting a hospital patient's likelihood of developing a problematic C-diff infection. [Full Story]

Related Topics:  Big Data  Lab-Artificial Intelligence  Wiens, Jenna  

Battling Drone Ships with Anthony Uytingco

Anthony Uytingco, a junior in Electrical Engineering, leads UM::Autonomy, Michigans RoboBoat team for the Association for Unmanned Vehicle Systems Internationals (AUVSI) RoboBoat Competition. Challenges for the boats include speeding around buoys, navigating a field of obstacles, staying in a precise formation, and docking based on an underwater pinger. [Full Story]

Related Topics:  Autonomous Vehicles  Student Profile  Student Teams and Organizations  

Transducer Sensors Suffer Security Risks Based on Physics, Not Malware

This article references the work of Prof. Kevin, Fu, who has demonstrated that physical manipulation can be used to trick transducers into reporting environmental data that is inaccurate. [Full Story]

Related Topics:  Fu, Kevin  Lab-Computer Engineering (CE Lab)  

As cell phones proliferate in K-12, schools search for smart policies

This article includes a focus on the work of Thurnau Prof. Elliot Soloway, who is a proponent for the use of mobile tech in education. [Full Story]

Related Topics:  Lab-Interactive Systems  Soloway, Elliot  

Persevering through the unknown: my conversation on emotion AI and problem solving with Emily Mower Provost

Prof. Emily Mower Provost was recently interviewed by the non-profit Iridescent - a company that brings science and engineering to underserved communities. [Full Story]

Related Topics:  Artificial Intelligence  Lab-Artificial Intelligence  Mower Provost, Emily  

All EECS News for 2018