Lifeboat Foundation

“Although smartphones and tablets are ubiquitous, many of the companies that make our everyday consumer products still rely on paper trails and manually updated spreadsheets to keep track of their production processes and delivery schedules,” says Leyuan Shi, a professor of industrial and systems engineering at the University of Wisconsin-Madison.

That’s what she hopes to change with a research idea she first published almost two decades ago.

During the past 16 years, Shi has visited more than 400 manufacturing companies in the United States, China, Europe, and Japan to personally observe their production processes. “And I have used that insight to develop tools that can make these processes run much more smoothly,” she says.

Engineering and construction is behind the curve in implementing artificial intelligence solutions. Based on extensive research, we survey applications and algorithms to help bridge the technology gap.

The engineering and construction (E&C) sector is worth more than $10 trillion a year. And while its customers are increasingly sophisticated, it remains severely underdigitized. To lay out the landscape of technology, we conducted a comprehensive study of current and potential use cases in every stage of E&C, from design to preconstruction to construction to operations and asset management. Our research revealed a growing focus on technological solutions that incorporate artificial intelligence (AI)-powered algorithms. These emerging technologies focus on helping players overcome some of the E&C industry’s greatest challenges, including cost and schedule overruns and safety concerns.

Mitsubishi Hitachi Power Systems (MHPS) and Carnegie Mellon University (CMU) today announced the release of the 2018 Carnegie Mellon Power Sector Carbon Index, at CMU Energy Week, hosted by the Wilton E. Scott Institute for Energy Innovation. The Index tracks the environmental performance of U.S. power producers and compares current emissions to more than two decades of historical data collected nationwide. This release marks the one-year anniversary of the Index, developed as a new metric to track power sector carbon emissions performance trends.

“The Carnegie Mellon Power Sector Carbon Index provides a snapshot of critical data regarding energy production and environmental performance,” said Costa Samaras, Assistant Professor of Civil and Environmental Engineering. “We’ve found this index to provide significant insight into trends in power generation and emissions. In particular, the data have shown that emissions intensity has fallen to the lowest level on record, as a combination of natural gas and renewable power have displaced more carbon intensive coal-fired power generation.”

Continue reading “US Power Sector Carbon Intensity drops below 1,000 lb/MWh for lowest emissions intensity on record” »

According to the United Nations, 30,000 people die each week from the consumption and use of unsanitary water. Although the vast majority of these fatalities occur in developing nations, the U.S. is no stranger to unanticipated water shortages, especially after hurricanes, tropical storms and other natural disasters that can disrupt supplies without warning.

Led by Guihua Yu, associate professor of materials science and mechanical engineering at The University of Texas at Austin, a research team in UT Austin’s Cockrell School of Engineering has developed a cost-effective and compact technology using combined gel-polymer hybrid materials. Possessing both hydrophilic (attraction to water) qualities and semiconducting (solar-adsorbing) properties, these “hydrogels” (networks of polymer chains known for their high water absorbency) enable the production of clean, safe drinking water from any source, whether it’s from the oceans or contaminated supplies.

The findings were published in the most recent issue of the journal Nature Nanotechnology.

Continue reading “Water purification breakthrough uses sunlight and ‘hydrogels’” »

Rumors of commercial quantum computing systems have been coming hot and heavy these past few years but there are still a number of issues to work out in the technology. For example, researchers at the Moscow Institute Of Physics And Technology have begun using silicon carbine to create a system to release single photons in ambient i.e. room temperature conditions. To maintain security quantum computers need to output quantum bits – essentially single photons. This currently requires a supercooled material that proves to be unworkable in the real world. From the release:

Photons — the quanta of light — are the best carriers for quantum bits. It is important to emphasize that only single photons can be used, otherwise an eavesdropper might intercept one of the transmitted photons and thus get a copy of the message. The principle of single-photon generation is quite simple: An excited quantum system can relax into the ground state by emitting exactly one photon. From an engineering standpoint, one needs a real-world physical system that reliably generates single photons under ambient conditions. However, such a system is not easy to find. For example, quantum dots could be a good option, but they only work well when cooled below −200 degrees Celsius, while the newly emerged two-dimensional materials, such as graphene, are simply unable to generate single-photons at a high repetition rate under electrical excitation.

Researchers used silicon carbide in early LEDs and has been used to create electroluminescent electronics in the past. This new system will allow manufacturers to place silicon carbide emitters right on the quantum computer chips, a massive improvement over the complex systems used today.

Continue reading “Researchers find a new material for quantum computing” »

Perfect vision is great. But like any advantage it comes with limitations. Those with ease don’t develop the same unique senses and strengths as someone who must overcome obstacles, people like Lana Awad, a neurotech engineer at CTRL-labs in New York, who diagnosed her own degenerative eye disease with a high school science textbook as a teen in Syria and went on to teach at Harvard University.

Though they see themselves as clear leaders, visionaries with all the obvious advantages—like Elon Musk and Mark Zuckerberg, for example—can be blind in their way, lacking the context needed to guide if they don’t recognize their counterintuitive limitations. This is problematic for humanity because we’re all relying on them to create the tools that increasingly rule every aspect of our lives. The internet is just the start.

Tools that will meld mind and machine are already a reality. Neurotech is a huge business with applications being developed for gaming, the military, medicine, social media, and much more to come. Neurotech Report projected in 2016 that the $7.6 billion market could reach $12 billion by 2020. Wired magazine called 2017, “a coming-out year for the brain machine interface (BMI).”

Continue reading “Lana Awad is engineering the neuro-tech that will transform humanity” »

Researchers from the School of Informatics, Computing, and Engineering are part of a group that has received a multi-million dollar grant from IUs’ Emerging Areas of Research program.

Amr Sabry, a professor of informatics and computing and the chair of the Department of Computer Science, and Alexander Gumennik, assistant professor of Intelligent Systems Engineering, are part of the “Center for Quantum Information Science and Engineering” initiative led by Gerardo Ortiz, a professor of physics in IU’s College of Arts and Sciences. The initiative will focus on harnessing the power of quantum entanglement, which is a theoretical phenomenon in which the quantum state of two or more particles have to be described in reference to one another even if the objects are spatially separated.

“Bringing together a unique group of physicists, computer scientists, and engineers to solve common problems in quantum sensing and computation positions IU at the vanguard of this struggle,” Gumennik said. “I believe that this unique implementation approach, enabling integration of individual quantum devices into a monolithic quantum computing circuit, is capable of taking the quantum information science and engineering to a qualitatively new level.”

Continue reading “SICE researchers part of grant to grow quantum information science” »

One of the #brain’s mysteries is how exactly it reorganizes new #information as you learn new tasks. The standard to date was to test how neurons learned new behavior one #neuron at a time. Carnegie Mellon University and the University of Pittsburgh decided to try a different approach. They looked at the population of neurons to see how they worked together while #learning a new behavior. Studying the intracortical population activity in the primary motor cortex of rhesus macaques during short-term learning in a brain–computer interface (BCI) task, they were able to study the reorganization of population during learning. Their new research indicates that when the brain learns a new activity that it is less flexible than previously thought. The researchers were able to draw strong hypothesis about neural reorganization during learning by using BCI. Through the use of BCI the mapping between #neural activity and learning is completely known.

“In this experimental paradigm, we’re able to track all of the neurons that can lead to behavioral improvements and look at how they all change simultaneously,” says Steve Chase, an associate professor of biomedical engineering at Carnegie Mellon and the Center for the Neural Basis of #Cognition. “When we do that, what we see is a really constrained set of changes that happen, and it leads to this suboptimal improvement of performance. And so, that implies that there are limits that constrain how flexible your brain is, at least on these short time scales.”

It is often challenging to learn new tasks quickly that require a high level of proficiency. Neural plasticity is even more constrained than previously thought as results of this research indicate.

Continue reading “The Limits of Neuroplasticity in the Brian” »

A group of engineers have proposed a novel approach to computing: computers made of billionth-of-a-meter-sized mechanical elements. Their idea combines the modern field of nanoscience with the mechanical engineering principles used to design the earliest computers.