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As might be expected, it’s vice versa for insufficient or interrupted sleep. A new study conducted by researchers from the University of California, San Francisco (UCSF) shows that poor sleep quality may have significant negative effects on progressive lung disease, even more so than smoking.

According to the theory, all that’s needed to solve the hard problem of consciousness is to change our assumptions about it. When we realize that consciousness is a physical, relativistic phenomenon, the mystery of consciousness naturally dissolves.

How do 3 pounds of brain tissue create thoughts, feelings, mental images, and a detailed inner world?

The ability of the brain to create consciousness has baffled people for millennia. The mystery of consciousness lies in the fact that each of us has subjectivity, with the ability to sense, feel, and think. In contrast to being under anesthesia or in a dreamless deep sleep, while we’re awake we don’t “live in the dark” — we experience the world and ourselves. However, it remains a mystery how the brain creates the conscious experience and what area of the brain is responsible.

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 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.

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 for all the objects of interest, which is undesired, and they are still vulnerable to adversarial attacks to retrieve the 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 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.

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.

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