Brendan Englot received his S.B., S.M., and Ph.D. degrees in mechanical engineering from the Massachusetts Institute of Technology in 2007, 2009, and 2012, respectively. He is currently an Associate Professor with the Department of Mechanical Engineering at Stevens Institute of Technology in Hoboken, New Jersey. At Stevens, he also serves as interim director of the Stevens Institute for Artificial Intelligence. He is interested in perception, planning, optimization, and control that enable mobile robots to achieve robust autonomy in complex physical environments, and his recent work has considered sensing tasks motivated by underwater surveillance and inspection applications, and path planning with multiple objectives, unreliable sensors, and imprecise maps.

A new report from Stevens Institute of Technology finds that Americans believe artificial intelligence is a threat to democracy, will be smarter than humans and overtake jobs. They also believe the benefits of AI outweigh its risks. That's according to the Hoboken-based institution's TechPulse Report: A Perspective on Americans' Attitudes Toward Artificial Intelligence, almost half (48%) of Americans feel the positives of greater AI adoption in everyday life outweigh the negatives, while 29% believe the opposite. A majority also holds the opinion that, in the future, AI should play a greater role in a variety of industries, including technology (66%), manufacturing (61%), logistics (58%) and retail (52%). Despite that enthusiasm, people are far more comfortable with humans, rather than AI, being in charge of performing most jobs and, in general, express a good deal of apprehension and mistrust of the technology.

An artificial intelligence (AI) algorithm has produced another significant breakthrough using attention mechanisms and a convolutional neural network to accurately identify tell-tale signs of Alzheimer's. The AI tool developed by the Stevens Institute of Technology is said to be able to explain its conclusions, thus enabling human experts to check the accuracy of its diagnosis by up to 95%. AI has made huge strides in the medical sector and this latest news is further evidence that the speed at which the technology is moving shows no signs of ceasing any time soon. The algorithm is trained to identify subtle linguistic patterns previously overlooked by using texts composed by both healthy subjects and known Alzheimer's sufferers. The team of researchers then converted each sentence into a unique numerical sequence, or vector, representing a specific point in a 512-dimensional space.

With no cure and no straightforward way of diagnosing the disease, scientists are exploring every avenue when it comes to detecting Alzheimer's during its early stages. One group of researchers has turned its attention to subtle differences in the language of sufferers, and have developed an AI tool they say can pick up on these as a way of potentially screening for the disease. The research was carried out at New Jersey's Stevens Institute of Technology and focuses on the way some Alzheimer's sufferers express themselves. The disease, and others that cause dementia, can impact some parts of the brain that control language, meaning that sufferers can struggle to find the right words, perhaps using the word "book" to describe a newspaper, or replacing nouns with pronouns, for example. "Language deficits occur in eight to 10 percent of individuals in the early stages of Alzheimer's disease (AD), and become more severe and numerous during its later stages," lead author of the study, K.P. Subbalakshmi explains to New Atlas.

Researchers have developed software that detects Alzheimer's using artificial intelligence (AI) at 95% accuracy. Stevens Institute of Technology researchers have developed software that detects subtle changes in Alzheimer's patients' languages. Also, it can explain the diagnosis and allows physicians to re-check the findings. "This is a real breakthrough," said Stevens Institute of Technology lead researcher K.P. Subbalakshmi adding that we are "opening an exciting new field of research." Subbalakshmi is the founding director of the Stevens Institute of Artificial Intelligence as well as an electrical and computer engineering professor at the Charles V. Schaeffer School of Engineering.

IMAGE: Brendan Englot at Stevens Institute of Technology will leverage a new variant of a classic artificial intelligence tools to create robots that can predict and manage the risks involved in... view more Just like humans, when robots have a decision to make there are often many options and hundreds of potential outcomes. Robots have been able to simulate a handful of these outcomes to figure out which course of action will be the most likely to lead to success. But what if one of the other options were equally likely to succeed - and safer? The Office of Naval Research has awarded Brendan Englot, an MIT-trained mechanical engineer at Stevens Institute of Technology, a 2020 Young Investigator Award of $508, 693 to leverage a new variant of a classic artificial intelligence tool to allow robots to predict the many possible outcomes of their actions, and how likely they are to occur. The framework will allow robots to figure out which option is the best way to achieve a goal, by understanding which options are the safest, most efficient - and least likely to fail.

Imagine a world where medicine is made more precise with the aid of holograms, allowing doctors to digitally "see" into a patient's body during a procedure. A world where you can give a keynote address in perfect Japanese, in your own voice, anywhere, at any time--even if you don't speak Japanese. This may sound like the stuff of some far-away future, but in the 2019 SES Dean's Lecture Series, hosted by dean Jean Zu on October 17, Dr. Xuedong Huang assured an audience of more than 200 faculty, students, and staff that "All of these technologies exist today. Sponsored by the Schaefer School of Engineering and Science at Stevens Institute of Technology, Huang's enthralling lecture--"Breaking Human Interaction Barriers--AI, HoloLens and Beyond"--revealed a future enriched by artificial intelligence. Huang, a Microsoft Technical Fellow in Microsoft Cloud and AI, founded the company's speech technology group in 1993. This group brought speech recognition to the mass market with the ...

Developing algorithms and learning-based systems to support potentially life-saving biomedical devices is more than abstract research for Stevens Institute of Technology electrical and computer engineering assistant professor and senior IEEE member Negar Tavassolian. "I've always been interested in solving medical problems with commercially viable technology," says Tavassolian, whose work is affiliated with the Stevens Institute for Artificial Intelligence. "I like to make things and see how they can help somebody." Tavassolian was granted a National Science Foundation (NSF) CAREER Award to leverage millimeter-wave technology in her quest to use artificial intelligence and other emerging technologies to develop an innovative, portable dermatological application to create a high-resolution image of a patient's skin for early detection of skin cancers. Millimeter-wave imaging (at a frequency of 30 to 300 GHz) is cheaper, safer, less power-intensive and much more portable than other types of body imaging.

Algorithms created at Stevens Institute of Technology in New Jersey can teach robots to adapt to changing conditions related to protecting and preserving underwater infrastructure. Researchers at Stevens Institute of Technology in New Jersey have created algorithms to teach robots to adapt to changing conditions related to protecting and preserving underwater infrastructure. Stevens' Brendan Englot leads a group that uses reinforcement learning algorithms trained on sonar data. The group's robots emit high-frequency chirps and measure how long it takes the sound to return after reflecting off surrounding structures, gathering data and acquiring situational awareness while various forces buffet them. The research team recently dispatched a robot to autonomously map a Manhattan pier without a prior model.

A Hoboken college is upping the ante on their quest to probe the potential of artificial intelligence, otherwise known as "AI." Stevens Institute of Technology recently announced the formation of the Stevens Institute for Artificial Intelligence (SIAI), an "interdisciplinary, tech-driven collaboration of experts" devoted to using the developing science to make the world a better place to live. "Artificial intelligence is transforming the world and industry as we know it, and the future of AI remains seemingly limitless," said Jean Zu, dean of the Charles V. Schaefer Jr. School of Engineering and Science. "In a world where AI-enabled innovation continues to rapidly evolve, SIAI and its Stevens collaborators will synergistically develop solutions to real-world problems, while providing a platform for training students to be the next generation of AI thought leaders," Zu said. Don't forget to visit the Patch Hoboken Facebook page here.