Lifeboat Foundation

Solar cells based on organic molecules offer potential advantages over conventional devices for converting light into electricity. These organic solar cells could be inexpensive, durable, and easy to make. However, organic cells do not yet have the performance that matches conventional devices. Scientists’ efforts to improve performance have been limited by their limited understanding of how electrons excited by light (or “photoexcited”) become “free carriers.”

In principle, free carriers flow across a material and emerge as an electrical current. Prior scientific studies suggest that photoexcitation leads to a tightly bound pair consisting of an electron and a hole. These studies did not describe how to overcome the strong binding forces to form free carriers. This new study reveals that more sites on neighboring molecules can accept electrons, explaining how free carriers form directly.

Published in Materials Horizons, this research developed a new model called Distribution Range Electron Transfer (DRET). Previous models for the generation of free carriers in organic solar cells have generally invoked new physical phenomena to explain experimental results. In particular, they have said that free carriers can form with efficiency that approaches 100% in a material where opposite charges are traditionally difficult to separate and use.

A New York farm is making a bacon substitute from mycelium. Pigs are happy.

MyForest Foods is harvesting 1.3 million kilos of “bacon” made from mycelium. It is one of a number of growing uses for this fungus.

Batteries provide energy to electronic devices. Your body generates and uses energy. Ergo, you’re basically a battery.

As you run, walk, or even breathe, your body is moving. A system fine-tuned enough to collect and store that output can transpose it into energy for the electronics we carry with us everyday. The obvious substrate in which to build such a system is our clothes, since they move along with us.

But without a series of wires or magnetic coils, how can cotton, wool, polyester, or even leather garments collect, store, and transport electricity? A team at Nanyang Technological University (NTU) in Singapore thinks it has the answers to finally harness your inner generator—and keep you from needing to borrow a charging cord.

Over the past decade, digital cameras have been widely adopted in various aspects of our society, and are being massively used in mobile phones, security surveillance, autonomous vehicles, and facial recognition. Through these cameras, enormous amounts of image data are being generated, which raises growing concerns about privacy protection.

Some existing methods address these concerns by applying algorithms to conceal sensitive information from the acquired images, such as image blurring or encryption. However, such methods still risk exposure of sensitive data because the raw images are already captured before they undergo digital processing to hide or encrypt the sensitive information. Also, the computation of these algorithms requires additional power consumption. Other efforts were also made to seek solutions to this problem by using customized cameras to downgrade the image quality so that identifiable information can be concealed. However, these approaches sacrifice the overall image quality for all the objects of interest, which is undesired, and they are still vulnerable to adversarial attacks to retrieve the sensitive information that is recorded.

A new research paper published in eLight demonstrated a new paradigm to achieve privacy-preserving imaging by building a fundamentally new type of imager designed by AI. In their paper, UCLA researchers, led by Professor Aydogan Ozcan, presented a smart camera design that images only certain types of desired objects, while instantaneously erasing other types of objects from its images without requiring any digital processing.

Alex Martinelli writes:

This entry gives an introduction to and how you can use it via Blender to train performant and robust vision models. I provide the code and node-trees for a demonstrative visual classification scenario from the fashion domain. You’ll then be able to generate a technically infinite amount of images for your use-case.

Read the entry on Medium.

TerraPower, the nuclear innovation company founded by Bill Gates, announced a $750 million funding raise co-led by Gates himself and SK Group from South Korea.

This week our guest is NBC technology correspondent, Jacob Ward, who recently released his book, The Loop: How Technology Is Creating a World Without Choices and How to Fight Back. In this episode we focus broadly on the ways in which technology and AI are learning from the worst instincts of human beings, and then using those bad behaviors to shape our future choices. As a result, Jacob suggests this creates feedback loops of increasingly limited and increasingly short-sighted behavior. This conversation includes exploring topics such as big data, bad incentives for programmers, profit motives, historical bias reflected in data, system 1 vs system 2 thinking, and much more.

Find out more about Jacob at jacobward.com or follow him on Twitter at twitter.com/byjacobward ** Host: Steven Parton — LinkedIn / Twitter Music by: Amine el Filali.

54 MINS

SpaceX says responsible researchers are welcome to hack into its satellite internet network, Starlink. It added that it could pay them up to $25,000 for discovering certain bugs in the service.

The announcement came after security researcher Lennert Wouters said last week he was able to hack into Starlink using a $25 homemade device. He said he performed the test as part of SpaceX’s bug bounty program, where researchers submit findings of potential vulnerabilities in Starlink’s network.

In a six-page document entitled “Starlink welcomes security researchers (bring on the bugs),” SpaceX congratulated Wouters on his research.