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Category: robotics/AI – Page 1,378

Robots & Artificial General Intelligence — How Robotics is Paving The Way for AGI

Artificial General Intelligence or short AGI was commonly referred as Strong AI. The continues advancements in robotics are also spurring the development of AGI. Currently we only have narrow AI or weak AI. But robots are paving the way for strong AI. In the future, robots might possibly become smarter than us or at least, reach human level intelligence. The field of robotics has seen many improvements over the years, as artificial intelligence systems continue to get better. Machine intelligence is a trendy topic among computer scientists and other relevant researchers on the field. As robots continue to get better, concerns for the rise of a superintelligence or an artificial general intelligence that could have different goals from ours, is increasingly getting the attention of computer scientists and lay people alike. We have often seen works of science fiction where robots and AGI have malicious intent. However, things could go really bad fur us even if initially these intelligent machines are programmed to obey human orders and follow our values. As a machine continues to improve itself by modifying it’s own source code, it could lead to an intelligence explosion. A point of time often referred as a technological singularity. Where it becomes hard if not impossible to predict future trajectories of the AI in question. As of the year 2017, there are over 40 organizations focused on the development of AGI. As we’ve said many times before, today’s AI is narrow. However the field of robotics is accelerating the rise of AGI and we will possibly witness a truly general AI in our lifetimes.

#AGI #AI #Artificialintelligence.

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Sources: Boston Dynamics’Big Dog: https://www.youtube.com/watch?v=cNZPRsrwumQ&t=126s.
Aldebaran — Softbank Robotics’ Nao: https://www.softbankrobotics.com/emea/en/node/72
When does a machine become a robot and a robot become a human? — J.D. Fencer.

Possible Paths to Artificial General Intelligence

Yoshua Bengio (MILA), Irina Higgins (DeepMind), Nick Bostrom (FHI), Yi Zeng (Chinese Academy of Sciences), and moderator Joshua Tenenbaum (MIT) discuss possible paths to artificial general intelligence.

The Beneficial AGI 2019 Conference: https://futureoflife.org/beneficial-agi-2019/

After our Puerto Rico AI conference in 2015 and our Asilomar Beneficial AI conference in 2017, we returned to Puerto Rico at the start of 2019 to talk about Beneficial AGI. We couldn’t be more excited to see all of the groups, organizations, conferences and workshops that have cropped up in the last few years to ensure that AI today and in the near future will be safe and beneficial. And so we now wanted to look further ahead to artificial general intelligence (AGI), the classic goal of AI research, which promises tremendous transformation in society. Beyond mitigating risks, we want to explore how we can design AGI to help us create the best future for humanity.

We again brought together an amazing group of AI researchers from academia and industry, as well as thought leaders in economics, law, policy, ethics, and philosophy for five days dedicated to beneficial AI. We hosted a two-day technical workshop to look more deeply at how we can create beneficial AGI, and we followed that with a 2.5-day conference, in which people from a broader AI background considered the opportunities and challenges related to the future of AGI and steps we can take today to move toward an even better future.

AIVITA Biomedical CEO Dr. Hans Keirstead to Deliver Keynote Address at United Nations ‘AI for Good’ Meeting

IRVINE, Calif., Sept. 13, 2022 /PRNewswire/ — AIVITA Biomedical, Inc., a biotech company specializing in innovative cell applications, today announced that chairman and CEO Hans Keirstead, Ph.D., will deliver a keynote address at AI for Good, a program dedicated to achieving the United Nations Sustainable Development Goals through practical AI applications. Details for the keynote are as follows:

Keynote title: AI in healthcare is an infant. Intelligence augmentation is an athlete. When: Wednesday, September 14, 2022, 15:00 CEST (9:00 EDT) Where: Switzerland — Virtual Presentation

The AI for Good meeting is organized by the International Telecommunication Union (ITU), the United Nations specialized agency for information and communication technologies, in partnership with 40 United Nations sister agencies.

The Entire Food Chain Has Started Collapsing, Scientists Warn

According to 130,000 years’ worth of data on what mammals have been eating, we’re in the midst of a mass biodiversity crisis. Not great!

This revelation was borne of a new study, conducted by an international team of researchers and published in the journal Science, that used machine learning to paint a detailed past — and harrowing future — of what happens to food webs when land mammals go extinct. Spoiler alert: it’s pretty grim stuff.

“While about 6 percent of land mammals have gone extinct in that time, we estimate that more than 50 percent of mammal food web links have disappeared,” Evan Fricke, ecologist and lead author of the study, said in a press release. “And the mammals most likely to decline, both in the past and now, are key for mammal food web complexity.”

New method for comparing neural networks exposes how artificial intelligence works

A team at Los Alamos National Laboratory has developed a novel approach for comparing neural networks that looks within the “black box” of artificial intelligence to help researchers understand neural network behavior. Neural networks recognize patterns in datasets; they are used everywhere in society, in applications such as virtual assistants, facial recognition systems and self-driving cars.

“The research community doesn’t necessarily have a complete understanding of what neural networks are doing; they give us good results, but we don’t know how or why,” said Haydn Jones, a researcher in the Advanced Research in Cyber Systems group at Los Alamos. “Our new method does a better job of comparing neural networks, which is a crucial step toward better understanding the mathematics behind AI.”

Jones is the lead author of the paper “If You’ve Trained One You’ve Trained Them All: Inter-Architecture Similarity Increases With Robustness,” which was presented recently at the Conference on Uncertainty in Artificial Intelligence. In addition to studying network similarity, the paper is a crucial step toward characterizing the behavior of robust neural networks.

Ameca conversation using GPT 3 — Will robots take over the world?

This #ameca demo couples automated speech recognition with GPT 3 — a large language model that generates meaningful answers — the output is fed to an online TTS service which generates the voice and visemes for lip sync timing. The team at Engineered Arts ltd pose the questions.

Nothing in this video is pre scripted — the model is given a basic prompt describing Ameca, giving the robot a description of self — its pure #ai.

The pauses are the time lag for processing the speech input, generating the answer and processing the text back into speech.

Breakthrough reported in machine learning-enhanced quantum chemistry

The equations of quantum mechanics provide a roadmap to predicting the properties of chemicals starting from basic scientific theories. However, these equations quickly become too expensive in terms of computer time and power when used to predict behavior in large systems. Machine learning offers a promising approach to accelerating such large-scale simulations.

Researchers have shown that machine learning models can mimic the basic structure of the fundamental laws of nature. These laws can be very difficult to simulate directly. The machine learning approach enables predictions that are easy to compute and are accurate in a wide range of chemical systems.

The improved machine learning model can quickly and accurately predict a wide range of properties of molecules (Proceedings of the National Academy of Sciences, “Deep Learning of Dynamically Responsive Chemical Hamiltonians with Semi-Empirical Quantum Mechanics”). These approaches score very well on important benchmarks in computational chemistry and show how deep learning methods can continue to improve by incorporating more data from experiments. The model can also succeed at challenging tasks such as predicting excited state dynamics—how systems behave with elevated energy levels.

‘Doomsday Glacier’ is teetering even closer to disaster than scientists thought, new seafloor map shows

Underwater robots that peered under Antarctica’s Thwaites Glacier, nicknamed the “Doomsday Glacier,” saw that its doom may come sooner than expected with an extreme spike in ice loss. A detailed map of the seafloor surrounding the icy behemoth has revealed that the glacier underwent periods of rapid retreat within the last few centuries, which could be triggered again through melt driven by climate change.

Thwaites Glacier is a massive chunk of ice — around the same size as the state of Florida in the U.S. or the entirety of the United Kingdom — that is slowly melting into the ocean off West Antarctica (opens in new tab). The glacier gets its ominous nickname because of the “spine-chilling” implications of its total liquidation, which could raise global sea levels between 3 and 10 feet (0.9 and 3 meters), researchers said in a statement (opens in new tab). Due to climate change, the enormous frozen mass is retreating twice as fast as it was 30 years ago and is losing around 50 billion tons (45 billion metric tons) of ice annually, according to the International Thwaites Glacier Collaboration (opens in new tab).

The Thwaites Glacier extends well below the ocean’s surface and is held in place by jagged points on the seafloor that slow the glacier’s slide into the water. Sections of seafloor that grab hold of a glacier’s underbelly are known as “grounding points,” and play a key role in how quickly a glacier can retreat.

Information, Evolution, and intelligent Design — With Daniel Dennett

Daniel Dennett explores the first steps towards a unified theory of information, through common threads in the convergence of evolution, learning, and engineering.
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Watch the Q&A now: https://www.youtube.com/watch?v=beKC_7rlTuw.

Buy Daniel Dennett’s book “Intuition Pumps and Other Tools for Thinking” — https://geni.us/pAyVW

The concept of information is fundamental to all areas of science, and ubiquitous in daily life in the Internet Age. However, it is still not well understood despite being recognised for more than 40 years. In this talk, Daniel Dennett explores steps towards a unified theory of information, through common threads in evolution, learning, and engineering.

This event was the first in a series on the theme of ‘Convergence’, exploring the links between neuroscience, philosophy and artificial intelligence. If you’re in London, look out for more events later in the year: http://rigb.org/whats-on.

We are grateful for the help of the Real Time Club in organising this event.

Daniel Dennett is known as one the most important philosophers of our time, with controversial and thought-provoking arguments about human consciousness, free will, and human evolution.

Continue reading “Information, Evolution, and intelligent Design — With Daniel Dennett” | >

JUST HAPPENED! Elon Musk FINALLY Trialed Neuralink On Humans!

🔔 Subscribe now with all notifications on for more Elon Musk, SpaceX and Tesla videos!Elon musk has finally tried neuralink on humans! But what is this neuralink? And how much effect will it have on us?The existence of Neuralink was first made public in 2017, when The Wall Street Journal reported on it. The company’s first significant public appearance was in 2019, when Elon Musk and other members of the Neuralink leadership team demonstrated their technology in a live streamed presentation. Neuralink’s chip is roughly the size of a penny and would be implanted in a person’s skull. An array of tiny wires, each nearly 20 times thinner than a human hair, spread out from the chip and into the patient’s brain. The cables include 1,024 electrodes that can monitor brain activity and, potentially, electrically activate the brain. This data is wirelessly transferred by the chip to computers, where it may be examined by researchers. A stiff needle, similar to a sewing machine, would be used to punch the flexible wires emerging from a Neuralink chip into a person’s brain. In January 2021, Neuralink produced a video displaying the robot.
Musk claims that the machine will make implanting Neuralink electrodes as simple as LASIK eye surgery. While this is an audacious assertion, neuroscientists told Insider in 2019 that the machine has several extremely promising aspects.📺 Watch the entire video for more information!#elon #musk #neuralink #spacex #tesla #elonmusk.

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