Lifeboat Foundation

New alloy showed a large elastic limiting strain greater than 4.3%.

Researchers have reported a new vulnerability in Acer laptops that could be potentially weaponized to disable UEFI Secure Boot protection.

“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 psychiatric diagnoses 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.

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!

Result from gigantic laser might help establish a new source of energy.

An analysis of star clusters suggests that some of them are apparently defying the known laws of physics, leaving experts baffled.

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

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.

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.