Lifeboat Foundation

How do human beings co-live with #AI in the #future? https://bit.ly/39BkOXe “Artificial intelligence (AI) has triggered many concerns and discussions in recent years, and through these discussions people are prompted to introspect on what it really means to be a human being …” #technology #innovation

Artificial intelligence (AI) has triggered many concerns and discussions in recent years, and through these discussions people are prompted to introspect on what it really means to be a human being. It provides us with plenty of food for thought regarding our science, society, family, work, etc., and all of these raise an important inquiry: how is life going to be with artificial intelligence being around us?

Artificial intelligence (AI) and machine learning are increasingly becoming a part of drug discovery and development beginning with identifying new compounds to structuring and designing clinical trials and targeting clinical trial populations.

A recent example came out of Linköping University in Sweden. The investigators utilized an artificial neural network to create maps of biological networks based on how different genes or proteins interact with each other. They leveraged a large database with information about the expression patterns of 20,000 genes in a large group of people. The AI was then taught to find patterns of gene expression.

And in mid-February, a drug developed using AI began testing in human clinical trials. The molecule, DSP-1181, is currently in Phase I clinical trials for obsessive-compulsive disorder. The compound is a long-acting potent serotonin 5-HT1A receptor agonist developed using AI that was part of a collaboration between Japan’s Sumitomo Dainippon Pharma and the UK’s Escientia. The AI developed the compound in about 12 months, compared to a more typical five-year process.

These predictions were drawn from DeepMind’s new deep learning system but have yet to be experimentally verified, DeepMind noted.

The researchers are hoping the extremely light material could be used to construct lightweight exoskeletons and shape-shifting “Terminator 2”-style robots, New Scientist reports.

Glass Beads

Continue reading “Scientists Want to Build Robots out of Floating Liquid Metal” »

A lightweight liquid metal alloy that is less dense than water could be used to make exoskeletons and transformable flexible robots.

Feature image ‘Psychonaut’ courtesy of Tetramode.

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Continue reading “Researcher Develops a Machine to Allow Psychonauts to Explore the DMT Realm” »

Devising an effective AGI value loading system should be of the utmost importance, especially when ETA of AGI is only years away. At the early stage of transition to the radically superintelligent civilization, we may use Naturalization Protocol Simulation to teach AGIs our human norms and values, and ultimately interlink with them to form the globally distributed Syntellect, civilizational superintelligence. Chances are AGIs and postbiological humans will peacefully coexist and thrive, though I doubt that we could tell which are which.

UCLA engineers have developed minuscule warehouse logistics robots that could help expedite and automate medical diagnostic technologies and other applications that move and manipulate tiny drops of fluid. The study was published in Science Robotics.

The robots are disc-shaped magnets about 2 millimeters in diameter, designed to work together to move and manipulate droplets of blood or other fluids, with precision. For example, the robots can cleave one large droplet of fluid into smaller drops that are equal in volume for consistent testing. They can also move droplets into preloaded testing trays to check for signs of disease. The research team calls these robots “ferrobots” because they are powered by magnetism.

Continue reading “Engineers develop miniaturized ‘warehouse robots’ for biotechnology applications” »

Another important question is the extent to which continued increases in computational capacity are economically viable. The Stanford Index reports a 300,000-fold increase in capacity since 2012. But in the same month that the Report was issued, Jerome Pesenti, Facebook’s AI head, warned that “The rate of progress is not sustainable…If you look at top experiments, each year the cost is going up 10-fold. Right now, an experiment might be in seven figures but it’s not going to go to nine or 10 figures, it’s not possible, nobody can afford that.”

AI has feasted on low-hanging fruit, like search engines and board games. Now comes the hard part — distinguishing causal relationships from coincidences, making high-level decisions in the face of unfamiliar ambiguity, and matching the wisdom and commonsense that humans acquire by living in the real world. These are the capabilities that are needed in complex applications such as driverless vehicles, health care, accounting, law, and engineering.

Despite the hype, AI has had very little measurable effect on the economy. Yes, people spend a lot of time on social media and playing ultra-realistic video games. But does that boost or diminish productivity? Technology in general and AI in particular are supposed to be creating a new New Economy, where algorithms and robots do all our work for us, increasing productivity by unheard-of amounts. The reality has been the opposite. For decades, U.S. productivity grew by about 3% a year. Then, after 1970, it slowed to 1.5% a year, then 1%, now about 0.5%. Perhaps we are spending too much time on our smartphones.