2023-2024 Accenture Fellows progress engineering at the crossroads of business enterprise and modern society | MIT News

2023-2024 Accenture Fellows progress engineering at the crossroads of business enterprise and modern society | MIT News

The MIT and Accenture Convergence Initiative for Industry and Technological innovation has selected 5 new study fellows for 2023-24. Now in its third 12 months, the initiative underscores the methods in which industry and analysis can collaborate to spur technological innovation.

By means of its partnership with the College of Engineering, Accenture offers 5 annual fellowships awarded to graduate college students with the intention of making powerful new insights on the convergence of organization and technological know-how with the likely to completely transform culture. The 2023-24 fellows will perform research in places which includes artificial intelligence, sustainability, and robotics.

The 2023-24 Accenture Fellows are:

Yiyue Luo

Yiyue Luo is a PhD candidate who is producing revolutionary integrations of tactile sensing and haptics, interactive sensing and AI, digital fabrication, and wise wearables. Her get the job done will take benefit of new improvements in digital production and AI, and the convergence in sophisticated sensing and actuation mechanisms, scalable digital manufacturing, and rising computational tactics, with the purpose of producing novel sensing and actuation products that revolutionize interactions concerning men and women and their environments. In earlier projects, Luo has formulated tactile sensing attire which includes socks, gloves, and vests, as nicely as a workflow for computationally designing and digitally fabricating gentle textiles-based pneumatic actuators. With the assist of an Accenture Fellowship, she will progress her get the job done of combining sensing and actuating devices and take a look at the progress of haptic products that simulate tactile cues captured by tactile sensors. Her supreme aim is to construct a scalable, textile-centered, closed-loop human-device interface. Luo’s analysis holds enjoyable potential to advance ground-breaking applications for clever textiles, wellness care, synthetic and digital truth, human-machine interactions, and robotics.

Zanele Munyikwa is a PhD prospect whose investigation explores foundation styles, a class of styles that kinds the basis of transformative normal-purpose systems (GPTs) this kind of as GPT4. An Accenture Fellowship will allow Munyikwa to carry out investigation aimed at illuminating the latest and probable affect of foundation products (which include huge language versions) on do the job and jobs prevalent to “high-skilled” knowledge employees in industries this sort of as advertising, legal companies, and medicine, in which foundation styles are anticipated to have significant economic and social impacts. A primary purpose of her task is to observe the effects of AI augmentation on jobs like copywriting and extended-variety creating. A next goal is to take a look at two main techniques that basis styles are driving the convergence of creative and technological industries, namely: lowering the cost of written content generation and enabling the growth of resources and platforms for instruction and schooling. Munyikwa’s get the job done has vital implications for the use of basis styles in numerous fields, from health treatment and education and learning to authorized expert services, business, and technological innovation.

Michelle Vaccaro is a PhD candidate in social engineering systems whose research explores human-AI collaboration with the aims of establishing a deeper knowledge of AI-based technologies (which

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GLOBAL COMPUTING ASSOCIATION NAMES 57 FELLOWS FOR OUTSTANDING CONTRIBUTIONS THAT PROPEL TECHNOLOGY TODAY

GLOBAL COMPUTING ASSOCIATION NAMES 57 FELLOWS FOR OUTSTANDING CONTRIBUTIONS THAT PROPEL TECHNOLOGY TODAY

Maneesh Agrawala

Stanford University

For contributions to visual communication through computer graphics, human-computer interaction, and information visualization

Anima Anandkumar

California Institute of Technology

For contributions to tensor methods for probabilistic models and neural operators

David Atienza Alonso

EPFL

For contributions to the design of high-performance integrated systems and ultra-low power edge circuits and architectures

Boaz Barak

Harvard University

For contributions to theoretical computer science, in particular cryptography and computational complexity, and service to the theory community

Michel Beaudouin-Lafon

Université Paris-Saclay

For contributions to human-computer interaction, instrumental interaction and generative theory, and community leadership

Peter Boncz

Centrum Wiskunde & Informatica (CWI), Vrije Universiteit Amsterdam

For contributions to the design of columnar, main-memory, and vectorized database systems

Luis H. Ceze University of Washington

For contributions to developing new architectures and programming systems for emerging applications and computing technologies

Ranveer Chandra

Microsoft

For contributions to software-defined wireless networking and applications to agriculture and rural broadband

Nitesh Chawla

University of Notre Dame

For contributions to machine learning research for imbalanced data, graphs, and interdisciplinary innovations

Ed H. Chi

Google

For contributions to machine learning and data mining techniques for social computing and recommender systems

Corinna Cortes

Google

For theoretical and practical contributions to machine learning, industrial leadership, and service to the field

Bill Curtis

CAST Software/ Consortium for Information and Software Quality (CISQ)

For contributions to software process, software measurement, and human factors in software engineering

Constantinos Daskalakis

Massachusetts Institute of Technology

For fundamental contributions to algorithmic game theory, mechanism design, sublinear algorithms, and theoretical machine learning

Kalyanmoy Deb

Michigan State University

For technical contributions in evolutionary multi-objective optimization algorithms and multi-criterion decision support

Bronis R. de Supinski

Lawrence Livermore National Laboratory

For contributions to the design of large-scale systems and their programming systems and software

Sebastian Elbaum

University of Virginia

For contributions to the analysis and testing of evolving systems and robotic systems

Yuguang “Michael” Fang

City University of Hong Kong

For contributions to wireless networks and mobile computing

Kevin Fu

Northeastern University

For contributions to computer security, and especially to the secure engineering of medical devices

Craig Gotsman

New Jersey Institute of Technology

For contributions to computer graphics, geometry processing, and visual computing

Ahmed E. Hassan

Queen’s University

For contributions to the quality assurance of large-scale software systems

Abdelsalam (Sumi) Helal
University of Florida

For contributions to mobile and pervasive computing, and their applications in graceful aging and accessibility

Jörg Henkel

Karlsruhe Institute of Technology For contributions to hardware/software co-design of power and thermal efficient embedded computing

Manuel V. Hermenegildo

Universidad Politecnica de Madrid & IMDEA SW Institute

For contributions to program analysis, verification, parallelism, logic programming, and the IMDEA Software Institute

Michael Hicks

University of Maryland, Amazon Web Services

For contributions to programming language design and implementation, program analysis, and software security

Torsten Hoefler

ETH Zurich

For foundational contributions to High-Performance Computing and the application of HPC techniques to machine learning

Jason Hong

Carnegie Mellon University

For contributions to ubiquitous computing and to usable privacy and security

Sandy Irani

University of

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