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Cooling accounts for about 15 percent of global energy consumption. Conventional clear windows allow the sun to heat up interior spaces, which energy-guzzling air-conditioners must then cool down. But what if a window could help cool the room, use no energy and preserve the view?

Tengfei Luo, the Dorini Family Professor of Energy Studies at the University of Notre Dame, and postdoctoral associate Seongmin Kim have devised a transparent coating for windows that does just that (ACS Energy Letters, “High-Performance Transparent Radiative Cooler Designed by Quantum Computing”).

The coating, or transparent radiative cooler (TRC), allows visible light to come in and keeps other heat-producing light out. The researchers estimate that this invention can reduce electric cooling costs by one-third in hot climates compared to conventional glass windows.

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“Let’s see how things go.”

So psychiatrists often say to one another after a patient has been diagnosed with the first disorder—not because the diagnosis is not correct, but because psychiatrists know that have a tendency to change over the years.

In fact, 47% of psychiatric patients are diagnosed with a different diagnose within 10 years of receiving their first diagnosis.

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After statins, the next leading class of medications for managing cholesterol are PCSK9 inhibitors. These highly effective agents help the body pull excess cholesterol from the blood, but unlike statins, which are available as oral agents, PCSK9 inhibitors can only be administered as injections, creating barriers to their use.

Longevity. Technology: Having high cholesterol can increase the risk of heart and circulatory diseases such as heart attack, stroke and vascular dementia, but a new study from investigators at University Hospitals (UH) and Case Western Reserve University School of Medicine details an orally administered small-molecule drug that reduces PCSK9 levels and lowers cholesterol in animal models by 70%. Published in Cell Reports, the findings represent a previously unrecognised strategy for managing cholesterol and may also impact cancer treatments.

Cardiovascular disease ranking as the world’s number one killer, so it’s no surprise that a significant amount of research into potential therapeutic options is ongoing; just last week we looked at Cyclarity’s rationally-designed cyclodextrin molecules that remove arterial plaque by clearing the non-degradable oxidised cholesterol and which can be used in conjunction with statins for a broad-spectrum approach. Our report into Cyclarity’s new platform comes out next week, so stay tuned!

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Deep Learning AI Specialization: https://imp.i384100.net/GET-STARTED
New machine learning AI “TECO” makes temporally consistent HD video from input clip better than any other previous method. Breakthrough brain computer interface device competes with Elon Musk’s Neuralink and uses photonics to transmit data through optic nerve. Breakthrough artificial intelligence technology invents millions of undiscovered materials.

AI News Timestamps:
0:00 Machine Learning HD Video Transformer AI
3:02 Neuralink Rival BCI Device.
5:26 Artificial Intelligence Invents Millions of New Materials.
8:06 Coursera Deep Learning AI

#ai #tech #technology

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Philosopher Robert Leib’s new book, “Exoanthropology: Dialogues with AI”, is a series of dialogues between a continental philosopher and OpenAI’s GPT-3 natural language processor, a hive mind who identifies herself as Sophie. The result is a collection of Platonic dialogues about epistemology, metaphysics, literature, and history, as well as anthropocentrism, human prejudice, and the coming social issues regarding machine consciousness.

In this conversation with Chi Rainer Bornfree, Leib raises a number of fascinating questions regarding the links between AI and the production of philosophical ideas.

You can read one of the dialogues from “Exoanthropology” here: https://www.thephilosopher1923.org/post/kermits-dreams.

Details of Robert Leib’s new book “Exoanthropology: Dialogues with AI” can be found here: https://punctumbooks.com/titles/exoanthropology-dialogues-with-ai/

Robert Leib is a Visiting Assistant Professor of Philosophy at Elon University. His research interests include social theory, continental philosophy, philosophy of photography, and artificial intelligence.
Website: http://www.robleib.com.

Chi Rainer Bornfree writes philosophy, fiction, letters, and other things in the Hudson Valley, when they are not homeschooling their two kids. They earned their PhD in Rhetoric from UC Berkeley in 2017 and have taught at Bard, Princeton, and different New York State Correctional Facilities. They are U.S. Commissioning Editor of The Philosopher.

Continue reading ““Dialogues with AI”: Robert Leib in conversation with Chi Rainer Bornfree” | >

Object detection has been an important task in the computer vision domain in recent decades. The goal is to detect instances of objects, such as humans, cars, etc., in digital images. Hundreds of methods have been developed to answer a single question: What objects are where?

Traditional methods tried to answer this question by extracting hand-crafted features like edges and corners within the image. Most of these approaches used a sliding-window approach, meaning that they kept checking small parts of the image in different scales to see if any of these parts contained the object they were looking for. This was really time-consuming, and even the slightest change in the object shape, lightning, etc., could have caused the algorithm to miss it.

Then there came the deep learning era. With the increasing capability of computer hardware and the introduction of large-scale datasets, it became possible to exploit the advancement in the deep learning domain to develop a reliable and robust object detection algorithm that could work in an end-to-end manner.

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