A new proof-of-concept study details how an automated system driven by artificial intelligence can design, build, test and learn complex biochemical pathways to efficiently produce lycopene, a red pigment found in tomatoes and commonly used as a food coloring, opening the door to a wide range of biosynthetic applications, researchers report. The results of the study, which combined a fully automated robotic platform called the Illinois Biological Foundry for Advanced Biomanufacturing with AI to achieve biomanufacturing, are published in the journal Nature Communications. "Biofoundries are factories that mimic the foundries that build semiconductors, but are designed for biological systems instead of electrical systems," said Huimin Zhao (BSD leader/CABBI/MMG), a University of Illinois chemical and biomolecular engineering professor who led the research. However, because biology offers many pathways to chemical production, the researchers assert that a system driven by AI and capable of choosing from thousands of experimental iterations is required for true automation. Previous biofoundry efforts have produced a wide variety of products such as chemicals, fuels, and engineered cells and proteins, the researchers said, but those studies were not performed in a fully automated manner.
There's much robots can achieve by observing human demonstrations, like the actions necessary to move a box of crackers from a counter to storage. But imitation learning is by no means a perfect science -- demonstrators often complete subgoals that distract systems from overarching tasks. To solve this, researchers at the University of Washington, Stanford University, the University of Illinois Urbana-Champaign, the University of Toronto, and Nvidia propose an "inverse planning" system that taps motions or low-level trajectories to capture the intention of actions. After evaluating their technique by collecting and testing against a corpus of video demonstrations conditioned on a set of kitchen goals, the team reports that their motion reasoning approach improves task success by over 20%. The researchers lay out the full extent of the problem in a preprint paper detailing their work.
The results of the study, which combined a fully automated robotic platform called the Illinois Biological Foundry for Advanced Biomanufacturing with AI to achieve biomanufacturing, are published in the journal Nature Communications. "Biofoundries are factories that mimic the foundries that build semiconductors, but are designed for biological systems instead of electrical systems," said Huimin Zhao, a University of Illinois chemical and biomolecular engineering professor who led the research. However, because biology offers many pathways to chemical production, the researchers assert that a system driven by AI and capable of choosing from thousands of experimental iterations is required for true automation. Previous biofoundry efforts have produced a wide variety of products such as chemicals, fuels, and engineered cells and proteins, the researchers said, but those studies were not performed in a fully automated manner. "Past studies in biofoundry development mainly focused on only one of the design, build, test and learn elements," Zhao said.
Kraft and Heinz products are shown on March 25, 2015 in Chicago, Illinois. Kraft Heinz has named a new global CIO as the packaged foods giant seeks to turn around its performance following a sales slide and significant writedowns in the value of some of its most prominent brands. Corrado Azzarita, 49, was previously in charge of IT projects at the company in areas including supply chain, finance, and legal and corporate affairs. He replaces Francesco Tinto, who was appointed global CIO at Walgreens Boots Alliance in September. Kraft Heinz has had a rough year.
PACS/RIS developer PaxeraHealth will highlight its updated PaxeraUltima360 artificial intelligence (AI)-based enterprise imaging software at RSNA 2019 in Chicago. PaxeraUltima360 is designed to use machine-learning technologies to decrease clinician workload by performing basic tasks and improving access to and coordination of patient data and care, the company said. The platform features an AI chatbot called Erabot that facilitates user interaction with the platform, thus speeding up access to relevant patient information. In addition, PaxeraUltima360 can adjust to the preferences of users by monitoring their behavior patterns for certain tasks and providing clinical decision support backed by augmented reading aids, PaxeraHealth said.
Chicago-based legal and compliance company Ascent has secured $19 million in Series B funding, according to company database Crunchbase, topping the city's recent funding headlines. The cash infusion was announced Nov. 5 and led by Drive Capital. According to its Crunchbase profile, "Ascent provides a cloud-based platform that helps financial services firms to keep their businesses compliant. Its platform analyzes business activities, informs about potential compliance obligations and assists in tracking and complying with relevant requirements. Ascent's cloud-based solutions include issue tracking and management, industry reference and research materials and compliance manual documentation."
In celebration of its newly-launched and highly-anticipated programs in business analytics and artificial intelligence, Southern Illinois University Carbondale's College of Business will host an evening reception for prospective students, business leaders and alumni on Wednesday, Nov. 13, in downtown Chicago. The event will take place from 6 to 8 p.m. on the 27th floor of the Deloitte building (Room 27E047), located at 111 S. Wacker Drive. Attendees will have the opportunity to meet faculty teaching these innovative courses, as well as analytics industry executives serving on the board of the university's one-of-a-kind Pontikes Center for Advanced Analytics and Artificial Intelligence. SIU recently launched an Analytics Concentration for its nationally-ranked online MBA program, a Bachelor of Science in Business Analytics, and will soon introduce a full graduate analytics program. All of these programs are uniquely designed to bridge the gap between data science and business by arming the managers and executives of tomorrow with leading-edge developments in artificial intelligence, prediction and data visualization, combined with a strong business foundation.
Take all the help you can get. If parallel computing has a central tenet, that might be it. Some of the crazy-complex computations asked of today's hardware are so demanding that the compute burden must be borne by multiple processors, effectively "parallelizing" whatever task is being performed. Perhaps the most notable push toward parallelism happened around 2006, when tech hardware powerhouse Nvidia approached Wen-mei Hwu, a professor of electrical and computer engineering at the University of Illinois-Urbana Champaign. Nvidia was designing graphics processing units (GPUs) -- which, thanks to large numbers of threads and cores, had far higher memory bandwidth than the traditional central processing unit (CPUs) -- as a way to process huge numbers of pixels.
Machine learning engineering is the practice of applying machine learning science to production systems. It requires expertise in both machine learning methods and software engineering. In practice, few individuals have sufficiently deep experience in both fields to act as sole practitioners. Scientists and engineers instead must work together, leveraging the skill and experience of one another, to build state-of-the-art machine learning enabled systems. In this masterclass, Garrett Smith, founder of Chicago ML and creator of Guild AI, teaches the fundamentals of machine learning engineering.
Rescuing victims from a burning building, a chemical spill, or any disaster that is inaccessible to human responders could one day be a mission for resilient, adaptable robots. Imagine, for instance, rescue-bots that can bound through rubble on all fours, then rise up on two legs to push aside a heavy obstacle or break through a locked door. Engineers are making strides on the design of four-legged robots and their ability to run, jump and even do backflips. But getting two-legged, humanoid robots to exert force or push against something without falling has been a significant stumbling block. Now engineers at MIT and the University of Illinois at Urbana-Champaign have developed a method to control balance in a two-legged, teleoperated robot -- an essential step toward enabling a humanoid to carry out high-impact tasks in challenging environments.