The video conferencing company benefitted hugely from the remote work boom. Now it’s asking some staff to come to the office regularly.
This video explains what are carbohydrates?
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It’s one of the mysteries of nature: How does the axolotl, a small salamander, boast a superhero-like ability to regrow nearly any part of its body? For years, scientists have studied the amazing regenerative properties of the axolotl to inform wound healing in humans.
Now, Stanford Medicine researchers have made a leap forward in understanding what sets the axolotl apart from other animals. Axolotls, they discovered, have an ultra-sensitive version of mTOR, a molecule that acts as an on-off switch for protein production. And, like survivalists who fill their basements with non-perishable food for hard times, axolotl cells stockpile messenger RNA molecules, which contain genetic instructions for producing proteins. The combination of an easily activated mTOR molecule and a repository of ready-to-use mRNAs means that after an injury, axolotl cells can quickly produce the proteins needed for tissue regeneration.
The new findings were published July 26 in Nature.
Introduction to george hotz and connor leahy.
The debate opens with introductions to the two featured guests — George Hotz and Connor Leahy. Hotz is described as a maverick hacker known for daring technical exploits like jailbreaking the iPhone. His hacker skills are likened to the technical finesse of Elon Musk combined with the wit of Tony Stark. Leahy is introduced as a steadfast defender of AI safety, determined to safeguard humanity from potential threats posed by artificial intelligence. His goal is to “break the damning prophecy and render us super saved.”
George hotz’s opening statement: intelligence and power.
A rising in the number of cases in Florida of Hansen’s disease, commonly known as leprosy, highlights the increase in tropical disease infections found in the US. The World’s Marco Werman speaks with professor Peter Hotez, co-director of the Texas Children’s Hospital Center for Vaccine Development and dean of the National School of Tropical Medicine at Baylor College of Medicine, about the conditions driving the uptick in tropical illnesses more commonly found in the global south.
A new artificial intelligence model finds that X-ray images collected during routine medical care can provide warning signs for diabetes, even in patients who don’t meet the guidelines for elevated risk. The model could help physicians detect the disease earlier and prevent complications, says a multi-institutional team which published the findings in Nature Communications.
Applying the computational method known as deep learning to images and electronic health record data, the researchers developed a model that successfully flagged elevated diabetes risk in a retrospective analysis, often years before patients were diagnosed with the disease. That’s significant, the researchers say, given the prevalence of diabetes in the U.S. has more than doubled over the past 35 years.
Current guidelines suggest screening patients for type 2 diabetes if they are between 35 and 70 years old and have a body mass index (BMI) in the overweight to obese range.
A research team consisting of the National Institute for Materials Science (NIMS) and the Tokyo University of Science has developed the fastest electric double layer transistor using a highly ion-conductive ceramic thin film and a diamond thin film.
This transistor may be used to develop energy-efficient, high-speed edge AI devices with a wide range of applications, including future event prediction and pattern recognition/determination in images (including facial recognition), voices and odors. This research was published in the June 16, 2023, issue of Materials Today Advances.
An electric double layer transistor works as a switch using electrical resistance changes caused by the charge and discharge of an electric double layer formed at the interface between the electrolyte and semiconductor. Because this transistor is able to mimic the electrical response of human cerebral neurons (i.e., acting as a neuromorphic transistor), its use in AI devices is potentially promising.
A common metal paper clip will stick to a magnet. Scientists classify such iron-containing materials as ferromagnets. A little over a century ago, physicists Albert Einstein and Wander de Haas reported a surprising effect with a ferromagnet. If you suspend an iron cylinder from a wire and expose it to a magnetic field, it will start rotating if you simply reverse the direction of the magnetic field.
“Einstein and de Haas’s experiment is almost like a magic show,” said Haidan Wen, a physicist in the Materials Science and X-ray Science divisions of the U.S. Department of Energy’s (DOE) Argonne National Laboratory. “You can cause a cylinder to rotate without ever touching it.”
In Nature, a team of researchers from Argonne and other U.S. national laboratories and universities now report an analogous yet different effect in an “anti”-ferromagnet. This could have important applications in devices requiring ultra-precise and ultrafast motion control. One example is high-speed nanomotors for biomedical applications, such as use in nanorobots for minimally invasive diagnosis and surgery.
The best detailed description of how consciousness develops and works that I’m aware of.
Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=e8qJsk1j2zE
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Upload multiple files, suggested prompts and replies, and a whole lot more. OpenAI just released a bevy of updates for ChatGPT.
