Deep Longevity has published a paper in Aging-US outlining a machine learning approach to human psychology in collaboration with Nancy Etcoff, Ph.D., Harvard Medical School, an authority on happiness and beauty.
The authors created two digital models of human psychology based on data from the Midlife in the United States study.
The first model is an ensemble of deep neural networks that predicts respondents’ chronological age and psychological well-being in 10 years using information from a psychological survey. This model depicts the trajectories of the human mind as it ages. It also demonstrates that the capacity to form meaningful connections, as well as mental autonomy and environmental mastery, develops with age. It also suggests that the emphasis on personal progress is constantly declining, but the sense of having a purpose in life only fades after 40–50 years. These results add to the growing body of knowledge on socioemotional selectivity and hedonic adaptation in the context of adult personality development.
Every week we will update you about the Robotic news in Japan.
Living Human Skin for Robots. From action heroes to villainous assassins, biohybrid robots made of both living and artificial materials have been at the center of many sci-fi fantasies, inspiring today’s robotic innovations. It’s still a long way until human-like robots walk among us in our daily lives, but scientists from Japan are bringing us one step closer by crafting living human skin on robots. The method developed not only gave a robotic finger skin-like texture, but also water-repellent and self-healing functions. “The finger looks slightly ‘sweaty’ straight out of the culture medium,” says first author Shoji Takeuchi, a professor at the University of Tokyo, Japan. “Since the finger is driven by an electric motor, it is also interesting to hear the clicking sounds of the motor in harmony with a finger that looks just like a real one.“ Looking “real” like a human is one of the top priorities for humanoid robots that are often tasked to interact with humans in healthcare and service industries. A human-like appearance can improve communication efficiency and evoke likability. While current silicone skin made for robots can mimic human appearance, it falls short when it comes to delicate textures like wrinkles and lacks skin-specific functions.
Artificial Intelligence that Acts More Human. A research group from the Graduate School of Informatics, Nagoya University, has taken a big step towards creating a neural network with metamemory through a computer-based evolution experiment. In recent years, there has been rapid progress in designing artificial intelligence technology using neural networks that imitate brain circuits. One goal of this field of research is understanding the evolution of metamemory to use it to create artificial intelligence with a human-like mind. Metamemory is the process by which we ask ourselves whether we remember what we had for dinner yesterday and then use that memory to decide whether to eat something different tonight. While this may seem like a simple question, answering it involves a complex process. Metamemory is important because it involves a person having knowledge of their own memory capabilities and adjusting their behavior accordingly.
Smart Robot Helps at Narita Airport. A robot equipped with artificial intelligence has been put to work to help sort out congestion problems at Narita International Airport near Tokyo. The robot is shaped like a small vehicle and stands about 1.2 meters high. The AI instantly analyzes images taken by its cameras. The robot can quickly grasp how and where congestion occurs. It gives instructions to keep order when it detects long queues blocking the way. The robot also keeps an eye out for suspicious items. It informs the command center when baggage is left unattended for too long.
Closing out our list of 10 best machine learning software is Microsoft Cognitive Toolkit (CNTK), which is Microsoft’s AI solution that trains the machine with its deep learning algorithms. It can handle data from Python, C++, and much more.
CNTK is an open-source toolkit for commercial-grade distributed deep learning, and it allows users to easily combine popular model types like feed-forward DNNs, convolutional neural networks (CNNs), and recurrent neural networks (RNNs/LSTms).
Joseph DearMinority Report was a matter of policy, not AI. As long as we have the good sense to not try to prosecute for crimes they didn’t do or attempt, and instead use this for prevention, we can have the best of both worlds.
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When life imitates art.
Like us on FACEBOOK: http://goo.gl/dHs73 Follow us on TWITTER: http://bit.ly/1ghOWmt. Minority Report (2002) Official Trailer #1 — Tom Cruise Sci-Fi Action Movie.
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The dynamic capability of these AI languages to change while the program is running is superior to languages relying on a batch method, in which the program must be compiled and executed prior to outputs. Plus, these quantum AI programming languages enable both data and code to be written as expressions. Since functions in these frameworks are written like lists, they’re readily processed like data, so specific programs can actually manipulate other programs via metaprogramming — which is key for their underlying flexibility. This advantage also translates into performance benefits in which such languages operate much faster in applications — such as those for bioinformatics involving genomics — aided by various dimensions of AI.
The AI effect
When enabled by flexible programming languages for developing AI, quantum computing allows organizations to perform AI calculations much faster, and at a greater scale, than they otherwise could. These programming languages also underpin both statistical and symbolic AI approaches enhanced by quantum computing. Optimization problems, for example, are traditionally solved in knowledge graph settings supporting intelligent inferences between constraints.
Start listening with a 30-day Audible trial and your first audiobook is free. Visit. http://www.audible.com/isaac or text “isaac” to 500–500. In the future we will rely ever more on Artificial Intelligence to run our civilization, but what role will AI and computers playing in governing?
13 February 2022, 10.00 am EST; 4.00 pm CET; 11.00 pm China.
Joscha Bach is an AI researcher and one of the world’s leading authorities on neuroscience and AI. A popular figure within debates about AI, he is the author of the book, Synthetic Intelligence, has given a TED talk and has been interviewed by Lex Fridman. Bach is interested primarily in the question of whether AI can offer us insights into the workings of the human mind. He joins us for our series on the new theory of intelligence emerging at the intersection of AI, neuroscience and architecture.
A unique ultra-faint dwarf galaxy has been discovered on the outer fringes of the Andromeda Galaxy thanks to the discerning eyes of an amateur astronomer examining archival data processed by NSF’s NOIRLab’s Community Science and Data Center. The dwarf galaxy — Pegasus V — was revealed to contain very few heavier elements and is likely to be a fossil of the first galaxies in follow-up observations by professional astronomers using the International Gemini Observatory, a Program of NSF’s NOIRLab.
An unusual ultra-faint dwarf galaxy has been discovered on the edge of the Andromeda Galaxy with the help of several facilities of NSF’s NOIRLab. Called Pegasus V, the galaxy was first detected as part of a systematic search for Andromeda dwarfs coordinated by David Martinez-Delgado from the Instituto de Astrofísica de Andalucía, Spain, when amateur astronomer Giuseppe Donatiello discovered a curious ‘smudge’ in data in a DESI
The Dark Energy Spectroscopic Instrument (DESI) is a new instrument for conducting a spectrographic survey of distant galaxies that has been retrofitted onto the Mayall Telescope on top of Kitt Peak in the Sonoran Desert 55 miles distant from Tucson, Arizona. Its main components are a focal plane containing 5,000 fiber-positioning robots and a bank of spectrographs which are fed by the fibers. It enables an experiment to probe the expansion history of the Universe and the mysterious physics of dark energy.
