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An Advanced AI Gave An Unsettling Answer During A Debate With Humans About Ethics

Poor Artificial Intelligence (AI). For years, it has had to sit there (like a dormant Skynet) listening to its existence being debated, without getting to have a say. A recent debate held at the University of Oxford tried to put that right by including an AI participant in a debate on the topic of whether AI can ever be ethical.

The debate involved human participants, as well as the Megatron Transformer, an AI created by the Applied Deep Research team at computer-chip maker Nvidia. The Megatron has been trained on a dataset called “the pile”, which includes the whole of Wikipedia, 63 million English news articles, and 38 gigabytes of Reddit conversations — more than enough to break the mind of any human forced to do likewise.

“In other words, the Megatron is trained on more written material than any of us could reasonably expect to digest in a lifetime,” Oxford’s Professor Andrew Stephen wrote in a piece on the debate published in The Conversation. “After such extensive research, it forms its own views.”

MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task

This is lecture 3 of course 6.S094: Deep Learning for Self-Driving Cars taught in Winter 2017. This lecture introduces computer vision, convolutional neural networks, and end-to-end learning of the driving task.

INFO:
Slides: http://bit.ly/2HdXYvf.
Website: https://deeplearning.mit.edu.
GitHub: https://github.com/lexfridman/mit-deep-learning.
Playlist: https://goo.gl/SLCb1y.

Links to individual lecture videos for the course:

Lecture 1: Introduction to Deep Learning and Self-Driving Cars.

Lecture 2: Deep Reinforcement Learning for Motion Planning.
https://youtu.be/QDzM8r3WgBw.

Lecture 3: Convolutional Neural Networks for End-to-End Learning of the Driving Task.

Researchers develop AI system capable accelerating learning and yielding process

SEOUL — Using a high-performance artificial intelligence (AI) chip, South Korean researchers have established a system that can accelerate the process of learning data and yielding results. The system capable of performing five thousand trillion operations per second is ideal for autonomous vehicles and AI servers because its chipset is about the size of a coin.

New electroactive microrobots can create their own bone

One possible application of interest to researchers is bone healing. The idea is that the soft material, powered by the electroactive polymer, will be able to maneuver in spaces of complicated bone fractures and expand. When the material hardens, it can form the basis for building new bones. In their study, the researchers demonstrate that the material can wrap itself around chicken bones, and the artificial bone that develops later grows along with the animal’s bone. The developed biohybrid variable-stiffness actuators can be used in soft (micro-)robotics and as potential tools for bone repair or bone tissue engineering.

“By controlling how the material turns, we can make the microrobot move in different ways, and also affect how the material unfurls in broken bones. We can embed these movements into the material’s structure, making complex programs for steering these robots unnecessary”, says Edwin Jager.

These Were Our Favorite Tech Stories From Around the Web in 2021

Tech companies continued to draw criticism for their roles in political and social scandals, most notably when whisteblower and former Facebook employee Frances Haugen testified to lawmakers. Undeterred, Facebook rebranded itself Meta and said it would now focus on building the metaverse. Twitter CEO Jack Dorsey stepped down and likewise changed the name of his company Square to Block in a not-so-subtle nod to the blockchain.

Meanwhile, volatile cryptocurrencies set new records, their prices jumping and crashing on a tweet. NFTs, a once-obscure type of cryptoasset, went on an eye-watering tear as redditors pushed meme stocks skyward. It was also the year of ever-bigger AI. Machine learning models surpassed a trillion parameters, designed computer chips, and tackled practical problems in biology, math, and chemistry. Elsewhere, billionaires went to space, regular folks bought 3D printed houses, fusion power attracted billions in investment, gene editing trials hit their stride, and “flying car” companies hit the New York Stock Exchange.

For this year’s list of fascinating stories in tech and science, we sifted our Saturday posts and selected articles that looked back to where it all began, glanced ahead to what’s coming, or otherwise stood out from the chatter to stand the test of time.

Google Research: Themes from 2021 and Beyond

Over the last several decades, I’ve witnessed a lot of change in the fields of machine learning (ML) and computer science. Early approaches, which often fell short, eventually gave rise to modern approaches that have been very successful. Following that long-arc pattern of progress, I think we’ll see a number of exciting advances over the next several years, advances that will ultimately benefit the lives of billions of people with greater impact than ever before. In this post, I’ll highlight five areas where ML is poised to have such impact. For each, I’ll discuss related research (mostly from 2021) and the directions and progress we’ll likely see in the next few years.

Astronomers Create Largest Ever 3D Map of the Cosmos

Its aim is to help us understand the past and future of the universe.

You may have heard of the Dark Energy Spectroscopic Instrument (DESI) from the Lawrence Berkeley National Laboratory’s Department of Energy. We reported on the project all the way back in 2016 when the team of scientists launched 5,000 small robots into space to help develop the first map of the universe beyond earth.

Then, in 2017, we reported how the project had created a 3D map of our galaxy’s space dust. The map was successful at plotting each individual dust that exists in our galaxy in order to clear up the deep space view and measure the accelerating expansion rate of the universe.

Now, DESI has revealed that it has finally created the largest and most detailed map of the universe ever. As impressive as this achievement is, DESI notes that it’s only 10% done with its five-year mission.

Full Story:

The project is called the Dark Energy Spectroscopic Instrument (DESI) and it’s run by the Lawrence Berkeley National Laboratory’s Department of Energy.

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What is Elon Musk’s Tesla Bot capable of? | Boston Dynamics News | High Tech News

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You are on the PRO Robots channel and in this issue we present you with high-tech news. New personal unmanned flying cars on the ground and in the air, details about Elon Musk’s robot, home robot for engineers, Boston Dynamics news and other bright events from the world of high technology in one issue!

0:00 In this video.
0:21 Volar two-seat flying car.
1:10 Tesla Bot.
1:46 Starlink.
2:18 Tesla.
2:55 Mighty delivery robot.
3:38 InnerSpace unmanned concept car.
4:35 Modular robotic arm with artificial intelligence.
5:30 Japan has developed a method that predicts the flight path of insect pests.
5:50 Boston Dynamics.
6:30 Artist Agnieszka Pilat.
7:14 Everdrone.
7:39 Heavy FB3 cargo drones.
8:12 Swifty semi-autonomous robotic system.
8:55 Unmanned tractor 8R
9:33 Electric robot cab without a steering wheel.
10:04 Smart speakers can be dangerous.

#prorobots #robots #robot #futuretechnologies #robotics.

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