Lifeboat Foundation: Safeguarding Humanity
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Category: engineering

Drug development is an extremely arduous and costly process, and failure rates in clinical trials that test new drugs for their safety and efficacy in humans remain very high. According to current estimates, only 13.8% of all tested drugs demonstrate ultimate clinical success and obtain approval by the Food and Drug Administration (FDA). There are also increasing ethical concerns relating to the use of animal studies. As a result, there has been a world-wide search to find replacements for animal models.

To help address this bottleneck in drug development, Donald Ingber, M.D., Ph.D., and his team at Harvard’s Wyss Institute for Biologically Inspired Engineering, developed the first human “Organ-on-a-Chip” (Organ Chip) model of the lung that recapitulates human organ level physiology and pathophysiology with high fidelity, which was reported in Science in 2010. Organ Chips are microfluidic culture devices composed of a clear flexible polymer the size of a computer memory stick, which contains two parallel hollow channels that are separated by a porous membrane. Organ-specific cells are cultured on one side of the membrane in one of the channels, and vascular endothelial cells recapitulating a blood vessel line the other, while each channel is independently perfused with cell type-specific medium.

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CS230 | Deep Learning

CS230 Deep Learning Lectures | Stanford Engineering

CS221 | Artificial Intelligence

CS221: Artificial Intelligence: Principles and Techniques | Stanford University

CS224N | Natural Language Processing (NLP)

Stanford CS224N: NLP with Deep Learning | Winter 2019

CS224N | Natural Language Processing with Deep Learning.

Deep Learning is one of the most highly sought after skills in AI. In this course, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more.



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Researchers have developed a new Artificial Intelligence (AI)-based technique that can detect low-sugar levels from raw ECG signals via wearable sensors without any fingerprint test. Current methods to measure glucose requires needles and repeated fingerpicks over the day. Fingerpicks can often be painful, deterring patient compliance.

The new technique developed by researchers at University of Warwick works with an 82 per cent reliability, and could replace the need for invasive finger-prick testing with a needle, especially for kids who are afraid of those.

“Our innovation consisted in using AI for automatic detecting hypoglycaemia via few ECG beats. This is relevant because ECG can be detected in any circumstance, including sleeping,” said Dr Leandro Pecchia from School of Engineering in a paper published in the Nature Springer journal Scientific Reports.

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As the U.S. Army increasingly uses facial and object recognition to train artificial intelligent systems to identify threats, the need to protect its systems from cyberattacks becomes essential.

An Army project conducted by researchers at Duke University and led by electrical and computer engineering faculty members Dr. Helen Li and Dr. Yiran Chen, made significant progress toward mitigating these types of attacks. Two members of the Duke team, Yukun Yang and Ximing Qiao, recently took first prize in the Defense category of the CSAW ‘19 HackML competition.

“Object recognition is a key component of future intelligent systems, and the Army must safeguard these systems from cyberattacks,” said MaryAnne Fields, program manager for intelligent systems at the Army Research Office. “This work will lay the foundations for recognizing and mitigating backdoor attacks in which the data used to train the system is subtly altered to give incorrect answers. Safeguarding object recognition systems will ensure that future Soldiers will have confidence in the intelligent systems they use.”

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Analog machine learning hardware offers a promising alternative to digital counterparts as a more energy efficient and faster platform. Wave physics based on acoustics and optics is a natural candidate to build analog processors for time-varying signals. In a new report on Science Advances Tyler W. Hughes and a research team in the departments of Applied Physics and Electrical Engineering at Stanford University, California, identified mapping between the dynamics of wave physics and computation in recurrent neural networks.

The map indicated the possibility of training physical wave systems to learn complex features in temporal data using standard training techniques used for neural networks. As proof of principle, they demonstrated an inverse-designed, inhomogeneous medium to perform English vowel classification based on raw audio signals as their waveforms scattered and propagated through it. The scientists achieved performance comparable to a standard digital implementation of a recurrent neural network. The findings will pave the way for a new class of analog machine learning platforms for fast and efficient information processing within its native domain.

The recurrent neural network (RNN) is an important machine learning model widely used to perform tasks including natural language processing and time series prediction. The team trained wave-based physical systems to function as an RNN and passively process signals and information in their native domain without analog-to-digital conversion. The work resulted in a substantial gain in speed and reduced power consumption. In the present framework, instead of implementing circuits to deliberately route signals back to the input, the recurrence relationship occurred naturally in the time dynamics of the physics itself. The device provided the memory capacity for information processing based on the waves as they propagated through space.

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Coming soon to crowd suppression near you…

30 upgraded KARGU (Autonomous Tactical Multi-Rotor Attack UAV) kamikaze drones developed by Turkish defense contractor Defense Technologies Engineering and Trade Inc. (STM) will join the Turkish Armed Forces’ inventory as of 2020 to take part in critical operations in the country’s east and along the Syrian border.

The KARGU battle drone, which was developed by the STM to support the tactical and field needs of Turkish security forces, eliminates targets more efficiently with new features such as enhanced ammo capacity and improved accuracy. The 30 drones will also have the capacity to destroy an entire brigade and warship.

STM General Director Murat Ikinci said that the previous drones they developed had offered Turkey great military power, but the newest upgrade would take the Turkish military to the next level. He added that the KARGU drone was far superior to its current competitors on the market, the Turkish daily Hürriyet reported.

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STEM Bootstrapping in Bio-Medicine! — On this recent ideaXme (https://radioideaxme.com/) episode, I was joined by 24 year old Malawian inventor, Sanga Marcarios Kanthema, founder and CEO of two companies, Dolphin Health Innovations and QubiX Robotics, who’s bringing health tech innovations to one of the world’s poorest countries — #Ideaxme #Malawi #Robotics #EKG #Stethoscope #Prosthetics #MobileHealth #SmartPhones #Telemedicine #MedicalDrones #Health #Wellness #Longevity #IraPastor #Bioquark #Regenerage

Ira Pastor, ideaXme exponential health ambassador and founder of Bioquark, interviews Sanga Kanthema, 24 year old electronics specialist and founder and CEO of two Malawi-based companies, Dolphin Health Innovations and QubiX Robotics.

Ira Pastor Comments:

On today’s show we are going to continue our “virtual global road trip” and our discussions about STEM (Science, Technology, Engineering and Mathematics) initiatives, and about ways they are disrupting the status quo. In doing so, we are heading back to the continent of Africa.

But first, we are going to start with some disconcerting statistics on the healthcare front.

It estimated that there are only 25 consultant oncologists to service all 160 million Nigerians; only 1 pathologist per 700,000 Sudanese; only 1 pathologist per 1.5 million Ugandans; Niger only has 288 doctors for 14 million people; and Mozambique only has 548 doctors for 26 million people.

Needless to say, mobile health technologies (smart phones, telemedicine, medical drones, etc.) all offer the potential for disruptive solutions, especially in conditions when instead of relying on traditional infrastructure and healthcare models, populations need access to inexpensive, easily accessible, problem solving technologies, especially when the nearest doctor is a couple hundred miles away.

Malawi.

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Starfleet Begins

Steven L. Kwast is a retired Air Force general and former commander of the Air Education and Training Command at Joint Base San Antonio-Randolph. A graduate of the United States Air Force Academy with a degree in astronautical engineering, he holds a master’s degree in public policy from Harvard’s Kennedy School of Government. He is a past president of the Air Force’s Air University in Montgomery, Alabama, and a former fighter pilot with extensive combat and command experience. He is the author of the study, “Fast Space: Leveraging Ultra Low-Cost Space Access for 21st Century Challenges.”

Beginning in 2010, and coinciding with the opening of Hillsdale College’s Allan P. Kirby, Jr. Center for Constitutional Studies and Citizenship on Capitol Hill, the College has hosted an annual Constitution Day Celebration in Washington, D.C. to commemorate the signing of the U.S. Constitution on September 17, 1787.

The program—which features speeches, debates, and roundtable discussions—explores the continuing relevance of the Founders’ Constitution for American politics today.

Hillsdale College is an independent institution of higher learning founded in 1844 by men and women “grateful to God for the inestimable blessings” resulting from civil and religious liberty and “believing that the diffusion of learning is essential to the perpetuity of these blessings.” It pursues the stated object of the founders: “to furnish all persons who wish, irrespective of nation, color, or sex, a literary, scientific, [and] theological education” outstanding among American colleges “and to combine with this such moral and social instruction as will best develop the minds and improve the hearts of its pupils.” As a nonsectarian Christian institution, Hillsdale College maintains “by precept and example” the immemorial teachings and practices of the Christian faith.

The College also considers itself a trustee of our Western philosophical and theological inheritance tracing to Athens and Jerusalem, a heritage finding its clearest expression in the American experiment of self-government under law.

By training the young in the liberal arts, Hillsdale College prepares students to become leaders worthy of that legacy. By encouraging the scholarship of its faculty, it contributes to the preservation of that legacy for future generations. By publicly defending that legacy, it enlists the aid of other friends of free civilization and thus secures the conditions of its own survival and independence.

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Scientists at the Faculty of Physics and Engineering, working with the Tomsk company Scientific and Production Center Chemical Technologies, have created and tested an improved model of a hybrid rocket engine. The team synthesized new fuel components that increased its calorie content, and therefore its efficiency.

The development emerged from a project to improve the design of a solid– hybrid rocket engine and the fuel used in such engines. The scientists mathematically modeled an optimized engine and made fuel compositions based on aluminum diboride and dodecaboride. This is one of the most promising areas increasing .

Rocket fuel with the addition of the components proposed by TSU specialists is distinguished by the highest calorific value, which characterizes fuel efficiency. Alexander Zhukov, professor at the Department of Mathematical Physics says that boron is the highest-energy solid component known today, but directly introducing it into the fuel is inefficient because a dense oxide film forms, leading to a high degree of burning out. But in combination with aluminum, boron burns well and increases energy.

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