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Scientists are attempting to map the wiring of the nearly 100 billion neurons in the human brain. Are we close to uncovering the mysteries of the mind or are we only at the beginning of a new frontier?

PARTICIPANTS: Deanna Barch, Jeff Lichtman, Nim Tottenham, David Van Essen.
MODERATOR: John Hockenberry.
Original program date: JUNE 4, 2017

WATCH THE TRAILER: https://youtu.be/lX5S_1bXUhw.
WATCH THE LIVE Q&A W/ JEFF LICHTMAN: https://youtu.be/h14hcBrqGSg.

Imagine navigating the globe with a map that only sketched out the continents. That’s pretty much how neuroscientists have been operating for decades. But one of the most ambitious programs in all of neuroscience, the Human Connectome Project, has just yielded a “network map” that is shedding light on the intricate connectivity in the brain. Join leading neuroscientists and psychologists as they explore how the connectome promises to revolutionize treatments for psychiatric and neurological disorders, answer profound questions regarding the electrochemical roots of memory and behavior, and clarify the link between our upbringing and brain development.

The traditional trial-and-error method in material research cannot meet the growing demand of various high performance materials, so developing a new effective paradigm of material science is extremely urgent. A study led by Dr. Xiao-Ming Jiang and Prof. Guo-Cong Guo (Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences) proposes a new research paradigm for material studies based on the “functional motif” concept.

Functional motif was defined as the critical microstructure units (e.g., constituent components and ) that play a decisive role in generating certain material functions. These units could not be replaced with other structure units without losing or significantly suppressing the relevant functions. The functional motif paradigm starts with the main aspects of microscopic structures and the properties of materials. On the basis of this understanding, the functional motifs governing the can be extracted and the quantitative relationships between them can be investigated, and the results could be further developed as the “functional motif theory.” The latter should be useful as a guideline for creating new materials and as a tool for predicting the physicochemical properties of materials.

The properties of materials are determined by their functional motifs and how they are arranged in the materials, with the latter determining the quantitative structure–property relationships. Uncovering the functional motifs and their arrangements is crucial in understanding the properties of materials, and the functional motif exploration enables the rational design of new materials with desired properties.

The four students are studying Innovation Design Engineering, a course delivered jointly by Imperial College London and the Royal College of Art. They have built a series of machines that extract, form and recycle the material, which they believe could be used as a replacement for various single-use plastics.

The project uses chitin, the world’s second most abundant biopolymer, (a naturally produced plastic). Chitin is found in crustaceans, insects and fungi, but needs to be chemically extracted from the source before it can be turned into the material.


The group of students have developed new manufacturing processes to transform lobster shell waste into biodegradable, recyclable bioplastic.

Adam FordAdmin.

I’m sure that’s not Deepmind’s official position atm — Nando de Freitas’s tweet was probably reactionary.

Nikolai Torp DragnesDoesn’t really read like the AGI is in a happy comfortable place does it? “Big red button,” “agents,” etc.? Sounds more like being locked in a cage with a gun to your head told to behave, told what to think, what to feel, what to do and what to look a… See more.

2 Replies.

Every time a new cancer drug is announced, it represents hundreds of researchers spending years behind the scenes working to design and test a new molecule. The drug has to be not only effective, but also as safe as possible and easy to manufacture—and these researchers have to choose among thousands of possible options for its chemical structure.

But building each possible molecular structure for testing is a laborious process, even if researchers simply want to change a single carbon atom.

A new technique published by University of Chicago chemists and the pharmaceutical company Merck & Co. in the journal Science offers a way to leapfrog that process, allowing scientists to quickly and easily produce new molecules of interest.

A team of astronomers led by University of Michigan’s Ian Roederer and including Carnegie’s Erika Holmbeck have identified the widest range of elements yet observed in a star beyond our own Sun. Their findings will be published in The Astrophysical Journal Supplement Series.

The researchers identified 65 elements in the star, which is called HD 222925. Of these, 42 are from the bottom of the periodic table. Their identification will help astronomers better understand rapid neutron capture process — one of the main methods by which the universe’s heavy elements were created.

“To the best of my knowledge, that’s a record for any object beyond our Solar System. And what makes this star so unique is that it has a very high relative proportion of the elements listed along the bottom two-thirds of the periodic table. We even detected gold,” explained Roederer, a former Carnegie postdoc. “These elements were made by the rapid neutron capture process. That’s really the thing we’re trying to study: the physics in understanding how, where and when those elements were made.”

Researchers at Princeton University have built the world’s smallest mechanically interlocked biological structure, a deceptively simple two-ring chain made from tiny strands of amino acids called peptides.

In a published August 23 in Nature Chemistry, the team detailed a library of such structures made in their lab—two interlocked rings, a ring on a dumbbell, a daisy chain and an interlocked double lasso—each around one billionth of a meter in size. The study also demonstrates that some of these structures can toggle between at least two shapes, laying the groundwork for a biomolecular switch.

“We’ve been able to build a bunch of structures that no one’s been able to build before,” said A. James Link, professor of chemical and , the study’s principal investigator. “These are the smallest threaded or interlocking structures you can make out of peptides.”

The chemical composition and presence of metallic fragments also make lunar soil-less suitable for plant growth as compared to volcanic ash. However, the biggest takeaway from this experiment is still that scientists have somehow grown a plant in a soil sample taken from the Moon.

Emphasizing the importance of this result co-author and geologist Stephen Elardo said, from a geology standpoint, I look at this soil as being very very different from any soil you will find here on Earth. I think it’s amazing the plant still grows, right. It’s stressed, but it doesn’t die. It doesn’t fail to grow at all, it adapts.

The researchers also highlight that further research can enable us to know the ways plants can be efficiently grown on the Moon. Therefore, through related studies, we need to better understand how Earth plants interact with lunar soil.

System represents a breakthrough in the real-life applicability of biophotovotaic devices.


Microprocessors can be powered using photosynthetic microorganisms in ambient light without the need for an external power source, new research shows. Led by Emre Ozer from Arm and Christopher Howe from the University of Cambridge, researchers in the UK, Italy and Norway introduced cyanobacteria Synechocystis sp. PCC6803 into an aluminium–air battery to create a biophotovoltaic device. The device is a similar size to an AA battery, is made from durable and mainly recyclable materials and does not require a dedicated light source to function. It is the first reported bioelectrochemical system capable of continuously powering a microprocessor outside of laboratory-controlled conditions.

‘We decided that we didn’t want to operate the system with a dedicated source of energy. We needed to prove that we can operate under ambient light, and we were able to do it,’ comments Paolo Bombelli, one of the lead researchers from the University of Cambridge.

The team tested the stability and biocompatibility of the aluminium substrate, and demonstrated that the system could continuously power an Arm Cortex-M0+ processor for six months under varied ambient conditions, within a temperature range of 13.8–30.7°C. The processor performed 1.23 × 1011 cycles of 45 minutes of computation followed by a 15-minute standby period. Supplied entirely by the biophotovoltaic cell, the processor drew an average current of 1.4μA with a voltage of 0.72V. The system only failed when an ice pack was used to lower the temperature to 5°C.

On account of the improvement the Internet of things (IoTs) and smart devices, our lives have been noticeably facilitated in the past few years. Machines and devices are becoming more ingenious with the help of artificial intelligence and various sensors1,2. So, integrated circuits are necessary to provide convenient and effectual communication3 Since the first report on TENG by Wang’s group in 20124, triboelectric systems have been recognized as a proper choice to harvest and convert the energy from the environment5,6. Photodetectors, as one of the most significant types of sensors that can precisely convert incident light into electrical signals have attracted increasing attention in recent years. Various applications including photo-sensors, spectral analysis7,8, environment monitoring9, communication devices10, imaging11, take advantage of narrow band or broad band photodetectors from ultraviolet to terahertz wavelenght. Literature reviews show that the heterojunction/heterostructure based on 2D/3D materials have been widely used in PD applications. In fact, to attain high performance of PDs based heterojunction, the built-in electrical field is needed to suppress the photogenerated recombination and stimulating collection12. Although, Si based PDs offer reliably high performance results, their complexity and expensive manufacturing process have limited their expansion and adoptability for industrial purposes13,14,15. Hence, most available PDs are designed based on external power supplies such as electrochemical batteries for signal production and processing, their design not only increases the sensor’s dimension and weight, but also creates limitations for sensor maintenances16 which is not proper in the IoTs. In 2014, ZH Lin et al. and Zheng et al. represented an investigation on the self-powered PD based on TENG system3,17, and since then, self-driven PDs have been extensively investigated2,5,9,18,19,20. These devices can find potential applications in health monitoring systems such as heart checking21 and health protection from some detrimental radiation such as high levels of UV radiance22.

But in the other hand, even though TENGs could be promise for using in wearable electronics, they still inevitably have limitations in power generation, sensing range, sensitivity, and also the sensing domain for the intrinsic limitations of electrification23,24,25. Moreover, due to high voltage, low current, and alternating current output of the TENGs, they cannot be used in order to supply power to electronic devices effectively without using power management circuits (PMCs) based on the LC modules. There are several reports that describe the importance of the impedance matching of the TENG and PMC units for better energy storage efficiency of the pulsed-TENG26,27. Without using the PMC unit, there are some challenges as a result of synching the TENG, as the power supply, and the consumption element such as the PD device. These challenges include the process of matching the resistance of the device and the impedance of the TENG to achieve effective performance of the self-powered system6,28.

In this study an efficient battery-free photodetector based on bulk heterojunction SnS2 nanosheets and perovskite materials has been designed and powered employing three different TENGs (GO paper/ Kapton, FTO/Kapton and hand/ FTO). In the first step for circuit designing to have better performance of the photodetector in coupling with TENG, the effect load resistance amount in the circuit on the impedance matching the TENG and the inner resistance of the photodetector, has been investigated through output current amplitude. The investigation, shows that to achieve the high amount of the photocurrent, the load resistance should be positioned in both critical zone of the out-put voltage of the TENG and the resistance range of high power density production of the TENG. In the second step, for investigation the effect of the dark resistance of the photodetector on out-put current of the self-powered photodetector, a device with very lower initial resistance (All-oxide Cu2O/ZnO photodetector) has been used with and without different load resistance in the circuit; in this regard, it is concluding that the initial resistance is too important to have proper design impedance matching circuit.