Software

Latest Innovations
QuickStop –The Quickest Misinformation Detection Algorithm Dr. Xiaohan Kang from the University of IL, in collaboration with inventors from Arizona State University and Carnege Mellon University, has developed QuickStop, an... Read More Dr. Xiaohan Kang from the University of IL, in collaboration with inventors from Arizona State University and Carnege Mellon University, has developed QuickStop, an algorithm capable of quick misinformation detection. Application This technology has applications in stopping the spread of misinformation,or “fake news”, on social platforms or news media before it can cause harm to the public. Benefits As the name would suggest, QuickStop is quicker than other misinformation technologies while maintaining higher accuracy than its competitors. QuickStop can detect fake news after 15 observations while other technologies need up to 500 observations. It is capable of faster speed and greater accuracy because of its dynamic nature. QuickStop calculates the minimum number of observations to determine whether information is real news or fake news.
SemiSynBio: An On-Chip Nanoscale Storage System Using Chimeric DNA Dr. Milenkovic from the University of Illinois has developed an on-chip integrated nanosytem for writing, storage, access, and reading of large data volumes that utilizes... Read More Dr. Milenkovic from the University of Illinois has developed an on-chip integrated nanosytem for writing, storage, access, and reading of large data volumes that utilizes inexpensive chimeric DNA, scalable grids of semiconductor nanotubes, and specialized nanopore sequencers. Using an M13 template for ease-of-synthesis and modified DNA bases to expand the potential alphabet, this system of synthesis for DNA-based data storage is inexpensive and flexible. In addition, selectively addressable semiconductor nanotubes are incorporated into an on-chip nanopore sequencer enabling selective storage/querying/retrieval of information in DNA-based data storage. This development represents a significant advance towards end-to-end automation of DNA-based data storage. Primary Application: Data Storage and Archiving Benefit: Provides a mechanism for selective storage and reading of DNA library, basis for data storage architecture
Application Level Hardware Tracing for Scaling Post-Silicon Debug Dr. Vasudevan from the University of IL has developed an advanced algorithm for optimizing design-for-debug hardware. This algorithm takes advantage of high level... Read More Dr. Vasudevan from the University of IL has developed an advanced algorithm for optimizing design-for-debug hardware. This algorithm takes advantage of high level abstraction to enable accurate bug localization, eliminating almost 90% of possible root causes in tests using an industrial SoC. This technology, which is broadly scalable versus existing methods, addresses a great need in the field of Electronic Design Automation by decreasing the cost and shortening the timescale of chip debugging, accelerating time-to-market and streamlining the post-silicon validation phase. Application: Incorporation into chip design and verification software Publication: Pal, D.; Sharma, A.; Ray, S.; de Paula, F. M.; and Vasudevan, S. In Proceedings of the 55th Annual Design Automation Conference, DAC 2018, San Francisco, CA, USA, June 24-29, 2018, pages 92:1–92:6, 2018.
ωLog: Transparent Interpretation and Integration of Layered Software Architecture Event Streams Prof. Bates at the University of Illinois has developed ωLog, a software application which collects application context through analysis of event logs, and integrates that... Read More Prof. Bates at the University of Illinois has developed ωLog, a software application which collects application context through analysis of event logs, and integrates that information into whole-system provenance. Through binary analysis, ωLog determines application logging behavior, associates events at the application level with events at the system level, and based on user queries, generates a concise, semantically-rich, execution-partitioned provenance graph. ωLog addresses limitations in overhead costs, with an average of 12% runtime overhead, and does not require instrumentation. Additionally, ωLog provides forensically-relevant semantic information that other provenance systems cannot provide. ωLog provides system administrators an unprecedented wealth of information for tracing suspicious activity to the root cause, which is particularly useful in identifying and responding to Advanced Persistent Threats. Applications Security Information and Event Management (SIEM), cybersecurity
iSwitch Computing This technology reduces latency bottlenecks in data center network communication by shifting aggregation processes to programmable switches. iSwitch is particularly... Read More This technology reduces latency bottlenecks in data center network communication by shifting aggregation processes to programmable switches. iSwitch is particularly relevant to AI applications such as reinforcement learning (RL)-based training, where frequent gradient aggregation typically requires a large number of network hops. In demonstrations, the technology achieved a system-level speedup of more than 3.5x for both synchronous and asynchronous RL distributed training and also improved scalability. Application Networking datacenters Benefits iSwitch results in a system-level speedup of more than 3.5x for both synchronous and asynchronous RL distributed training and also improves scalability.
Image Processing and Error-Correction in DNA via Inpainting and Filtering Dr. Olgica Milenkovic and Dr. Charles Schroeder at the University of Illinois has developed an error-correction method for DNA-based data storage of massive image datasets. Previous methods for... Read More Dr. Olgica Milenkovic and Dr. Charles Schroeder at the University of Illinois has developed an error-correction method for DNA-based data storage of massive image datasets. Previous methods for addressing errors use Reed-Solomon codes at both the individual oligo and pool of oligo level to reconstruct missing strings from redundantly encoded oligos. This method uses deep learning techniques to utilize natural redundancy present in the images to perform inpainting on the missing pixels, reconstructing the missing information, and avoiding the requirement for synthesizing and sequencing redundancy in the oligos.
Food Flows between Counties in the United States Dr. Megan Konar has developed an algorithm for mapping food flows between counties in the United States based on FAF data. This algorithm downscales FAF data to the... Read More Dr. Megan Konar has developed an algorithm for mapping food flows between counties in the United States based on FAF data. This algorithm downscales FAF data to the county level to provide a spatially-detailed map of food flows. By building on previous models with known network properties of food flows and the principle of mass balance, this algorithm improves spatial detail and accuracy of food flow mapping. Mapping flows of commodity with higher resolution enables detailed lifecycle and footprint assessments.This technology uses US Census Bureau data to provide realistic and high-resolution estimations of food flows between counties, providing information about distribution of food through complex supply chains, which underpins food security and has implications for the environment.
Forecasting 3D Movement While machines that analyze movement work well, models that anticipate are the future of machine learning. Using static relations to predict future movement results in... Read More While machines that analyze movement work well, models that anticipate are the future of machine learning. Using static relations to predict future movement results in less accurate forecasting because relations between static entities change over time. This technology uses dynamic Neural Relational Inference to predict an outcome for each static relation over time, resulting in more accurate forecasts.
Football Training Tools This suite of tools can be used to improve the performance of a football program. The tools focus on training and preparation and incorporate mobile, virtual reality, and... Read More This suite of tools can be used to improve the performance of a football program. The tools focus on training and preparation and incorporate mobile, virtual reality, and data analytics to get the most out of the football team. Players can see custom formations in a mobile or VR setting and can take the perspective of any position on the field plus several aerial views. This allows for players to easily prepare for opponents and better train by seeing formations from their respective positions on the field. Additionally, this suite includes a team management system. This tool allows coaches to visualize the depth chart and incorporates a play/game-based grading system.
A Program to Optimize Ultraviolet Disinfection of Surfaces COVID-19 has left high traffic businesses, such as hospitals, hotels, and transit authorities, with an urgent need for safe and efficient sanitation processes. UV light... Read More COVID-19 has left high traffic businesses, such as hospitals, hotels, and transit authorities, with an urgent need for safe and efficient sanitation processes. UV light has been proven to remove COVID-19 from surfaces, but only with the correct dosage of UV. This technology provides a software program for UV robots to maximize efficiency and efficacy of UV robots. This software first performs a 3D mapping operation or a room, optimizing the path to maximize surface coverage. It then allocates dosage of UV light according to the path and areas in shadow. This technology significantly reduces human error in sanitation of rooms and surfaces, while still allowing for manual modification. The software is compatible with all UV sanitizing robots, requiring one-time customization for different robots. This technology could be used across the board, from arenas to schools. It is the first program of its kind that uses mapping to both optimize path planning and effectively assign dosage for shadowed or high touch areas to effectively eradicate COVID-19 and other viruses on surfaces.