Covers a fictional anticipation of artificial intelligence and mind uploading.
Film de Wesley Barryet.
Genre : Science-Fiction.
Durée : 1h24
Avec Dudley Manlove, George Milan, Don Doolittle.
Continue reading “The Creation of the Humanoids (1962) VOSTFR — Film complet” »
A short discussion before John Smart’s talk at the Stepping Into the Future conference where he discusses his idea that the only easy path to general intelligence is via neuro and biomimicry.
For more detail, see his full talk ‘The Goodness of the Universe: Outer Space, Inner Space, and the Future of Networks’ here: http://www.scifuture.org/the-goodness-of-the-universe-outer-…ohn-smart/
Continue reading “AGI via Deep Neuro & Bio-mimicry — John Smart (short)” »
https://youtube.com/watch?v=2jMJ9hGjQPE
Hp has unveiled HP SitePrint, a robotic solution that autonomously prints the most complex construction site layouts with pinpoint accuracy. The company claims the bot can finish a layout in a “fraction” of the time humans require – improving productivity by as much as ten times.
HP SitePrint is an end-to-end, easy-to-use suite of technologies designed to automate the site layout process. It consists of a rugged and autonomous robotic device designed to operate in the conditions of the construction site. With the help of a remote control tablet and cloud tools, the machine can outline walls, doors, and other elements with little intervention.
Continue reading “New HP robotic solution for autonomous construction layout” »
Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.
Many organizations lack the technology and architecture required to automate decision-making and create intelligent responses across the supply chain, as has been shown by the past few years’ supply chain disruptions. However, these critical breakdowns can no longer be blamed solely on the COVID-19 pandemic. Rather, they can be blamed on businesses’ slow adoption of automated supply chain decision-making, which has resulted in inventory backlogs, price inflation, shortages and more. Further contributing to backlogs is continued single sourcing to one region rather than leveraging distributed regional capabilities. These factors have added to the complexity of systems and the disadvantages of lack of automation and the pandemic brought these existing critical breakdowns into stark relief.
This brings us to today and how this inability to effectively manage data streams is proving debilitating to many companies. In a Gartner study of more than 400 organizations, 84% of chief supply chain officers reported that they could service their customers better with data-driven insights. An equal number of respondents stated that they needed more accurate data in order to predict future conditions and make better decisions.
Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.
There is a quiet yet fierce battle being fought by technology heavyweights. They want to consolidate the exponentially increasing RPA (robotic process automation) market and the sizable investments users are making, which continue to grow. According to recent research, organizations on average spend $480,000 on RPA annually, with those in the highest tier spending well over $1 million on automation every year.
With a market of that size and all indications being that automation will only get bigger, it’s no wonder the likes of Microsoft have entered the fray to duke it out with perennial leaders Automation Anywhere, UiPath and Blue Prism, raising the question: Who will come out on top?
New Kurzweil Vid!, September 17, 2022!
Ray Kurzweil is an author, inventor, and futurist. Please support this podcast by checking out our sponsors:
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Yesterday, California-based AI firm Adept announced Action Transformer (ACT-1), an AI model that can perform actions in software like a human assistant when given high-level written or verbal commands. It can reportedly operate web apps and perform intelligent searches on websites while clicking, scrolling, and typing in the right fields as if it were a person using the computer.
In a demo video tweeted by Adept, the company shows someone typing, “Find me a house in Houston that works for a family of 4. My budget is 600K” into a text entry box. Upon submitting the task, ACT-1 automatically browses Redfin.com in a web browser, clicking the proper regions of the website, typing a search entry, and changing the search parameters until a matching house appears on the screen.
Another demonstration video on Adept’s website shows ACT-1 operating Salesforce with prompts such as “add Max Nye at Adept as a new lead” and “log a call with James Veel saying that he’s thinking about buying 100 widgets.” ACT-1 then clicks the right buttons, scrolls, and fills out the proper forms to finish these tasks. Other demo videos show ACT-1 navigating Google Sheets, Craigslist, and Wikipedia through a browser.
There was once a time, not so long ago, when scientists like Casey Holliday needed scalpels, scissors and even their own hands to conduct anatomical research. But now, with recent advances in technology, Holliday and his colleagues at the University of Missouri are using artificial intelligence (AI) to see inside an animal or a person—down to a single muscle fiber—without ever making a cut.
Holliday, an associate professor of pathology and anatomical sciences, said his lab in the MU School of Medicine is one of only a handful of labs in the world currently using this high-tech approach.
AI can teach computer programs to identify a muscle fiber in an image, such as a CAT scan. Then, researchers can use that data to develop detailed 3D computer models of muscles to better understand how they work together in the body for motor control, Holliday said.
Recent advancements in the development of machine learning and optimization techniques have opened new and exciting possibilities for identifying suitable molecular designs, compounds, and chemical candidates for different applications. Optimization techniques, some of which are based on machine learning algorithms, are powerful tools that can be used to select optimal solutions for a given problem among a typically large set of possibilities.
Researchers at Colorado State University and the National Renewable Energy Laboratory have been applying state-of-the-art molecular optimization models to different real-world problems that entail identifying new and promising molecular designs. In their most recent study, featured in Nature Machine Intelligence, they specifically applied a newly developed, open-source optimization framework to the task of identifying viable organic radicals for aqueous redox flow batteries, energy devices that convert chemical energy into electricity.
“Our project was funded by an ARPA-E program that was looking to shorten how long it takes to develop new energy materials using machine learning techniques,” Peter C. St. John, one of the researchers who carried out the study, told TechXplore. “Finding new candidates for redox flow batteries was an interesting extension of some of our previous work, including a paper published in Nature Communications and another in Scientific Data, both looking at organic radicals.”
https://youtube.com/watch?v=EEqHir0YFnU
These 15 robots may demonstrate that the concept is viable.
Personal robots have been a common trope in sci-fi for many decades. Their apparent plausibility has made many sci-fi enthusiasts wonder when they may become a reality.
Continue reading “Where are all the personal robots we were promised?” »
