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Archive for the ‘robotics/AI’ category: Page 927

Dec 7, 2021

Kamikaze drones: A new weapon brings power and peril to the U.S. military

Posted by in categories: drones, military, robotics/AI, terrorism

Americans have become accustomed to images of Hellfire missiles raining down from Predator and Reaper drones to hit terrorist targets in Pakistan or Yemen. But that was yesterday’s drone war.

A revolution in unmanned aerial vehicles is unfolding, and the U.S. has lost its monopoly on the technology.

Some experts believe the spread of the semi-autonomous weapons will change ground warfare as profoundly as the machine gun did.

Dec 7, 2021

Atom Touch — Join the Preview Program for the first ever Bionic Prosthetic Arm

Posted by in categories: biotech/medical, cyborgs, robotics/AI, transhumanism

Probably some of the best robotic hands developed to date. definitely worth a look, for robotics people.

Learn More


Get on the waitlist for the Atom Touch.

Dec 7, 2021

SEIHAI: The hierarchical AI that won the NeurIPS-2020 MineRL competition

Posted by in categories: entertainment, information science, robotics/AI

In recent years, computational tools based on reinforcement learning have achieved remarkable results in numerous tasks, including image classification and robotic object manipulation. Meanwhile, computer scientists have also been training reinforcement learning models to play specific human games and videogames.

To challenge research teams working on reinforcement learning techniques, the Neural Information Processing Systems (NeurIPS) annual conference introduced the MineRL competition, a contest in which different algorithms are tested on the same in Minecraft, the renowned computer game developed by Mojang Studios. More specifically, contestants are asked to create algorithms that will need to obtain a diamond from raw pixels in the Minecraft game.

The algorithms can only be trained for four days and on 8,000,000 samples created by the MineRL simulator, using a single GPU machine. In addition to the training dataset, participants are also provided with a large collection of human demonstrations (i.e., video frames in which the task is solved by human players).

Dec 7, 2021

New Harvard institute to study natural, artificial intelligence

Posted by in categories: biotech/medical, neuroscience, robotics/AI

Harvard University on Tuesday launched the Kempner Institute for the Study of Natural and Artificial Intelligence, a new University-wide initiative standing at the intersection of neuroscience and artificial intelligence, seeking fundamental principles that underlie both human and machine intelligence. The fruits of discoveries will flow in both directions, enhancing understanding of how humans think, perceive the world around them, make decisions, and learn, thereby advancing the rapidly evolving field of AI.

The institute will be funded by a $500 million gift from Priscilla Chan and Mark Zuckerberg, which was announced Tuesday by the Chan Zuckerberg Initiative. The gift will support 10 new faculty appointments, significant new computing infrastructure, and resources to allow students to flow between labs in pursuit of ideas and knowledge. The institute’s name honors Zuckerberg’s mother, Karen Kempner Zuckerberg, and her parents — Zuckerberg’s grandparents — Sidney and Gertrude Kempner. Chan and Zuckerberg have given generously to Harvard in the past, supporting students, faculty, and researchers in a range of areas, including around public service, literacy, and cures.

“The Kempner Institute at Harvard represents a remarkable opportunity to bring together approaches and expertise in biological and cognitive science with machine learning, statistics, and computer science to make real progress in understanding how the human brain works to improve how we address disease, create new therapies, and advance our understanding of the human body and the world more broadly,” said President Larry Bacow.

Dec 7, 2021

DeepMind’s AI Helped Crack Two Mathematical Puzzles That Stumped Humans for Decades

Posted by in categories: biological, information science, mathematics, robotics/AI, time travel

Working with two teams of mathematicians, DeepMind engineered an algorithm that can look across different mathematical fields and spot connections that previously escaped the human mind. The AI doesn’t do all the work—when fed sufficient data, it finds patterns. These patterns are then passed on to human mathematicians to guide their intuition and creativity towards new laws of nature.

“I was not expecting to have some of my preconceptions turned on their head,” said Dr. Marc Lackenby at the University of Oxford, one of the scientists collaborating with DeepMind, to Nature, where the study was published.

The AI comes just a few months after DeepMind’s previous triumph in solving a 50-year-old challenge in biology. This is different. For the first time, machine learning is aiming at the core of mathematics—a science for spotting patterns that eventually leads to formally-proven ideas, or theorems, about how our world works. It also emphasized collaboration between machine and man in bridging observations to working theorems.

Dec 7, 2021

Will Smith Tries Online Dating

Posted by in category: robotics/AI

Things get awkward when Will meets Sophia the Robot for an intimate conversation in the Cayman Islands. SUBSCRIBE: https://goo.gl/BUjQW8

Thanks to Hanson Robotics for providing Sophia! For more information, visit http://hansonrobotics.com.

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Dec 7, 2021

Building Skills-Friendly Cities To Prepare For The Future Of Work

Posted by in categories: business, education, employment, government, robotics/AI

Skills shortages are easily brushed off as Covid collateral, but in fact, they are much more troubling signs of an education system that is not preparing people for the future of work. These issues stem from a union of education and employment that has been designed to fill specific criteria for the workforce, but the job market that young people are training for today will require a much greater emphasis on human skills to complement the repetitive tasks handled by AI and automation.

But bringing up young people with the human skills they need for a changing world of work is a mammoth task that must combine the powers of government, businesses, and dedicated organizations to reshape our education systems and integrate them with the communities they serve. I spoke with Justin van Fleet, Executive Director of the Global Business Coalition for Education (GBC-Education), about the need for a holistic and skills-centered approach to education, and how change needs to start as early as possible.

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Dec 7, 2021

Will We Ever Cheat Death and Become Immortal With Mind Uploading?

Posted by in categories: life extension, robotics/AI, transhumanism

Could we interest you in a humanoid vessel to transfer your consciousness into?

Humans have always been fascinated with the concept of immortality but what seems to be even more exciting to some is the thought of using technology to make immortality a real-world application. A movement called transhumanism is even devoted to using science and technology to augment our bodies and our minds, and to allow humans to merge with machines, eradicating old age as a cause of death. So the big question is — can we really evade death?

Continue reading “Will We Ever Cheat Death and Become Immortal With Mind Uploading?” »

Dec 7, 2021

Transhumanism and Humanity’s Desire to Escape Death

Posted by in categories: bioengineering, biotech/medical, Elon Musk, food, life extension, robotics/AI, transhumanism

Transhumanism, briefly explained, means the modification of human beings through technology and engineering. It employs a variety of methods used to cure ailments, or upgrading humans just for the sake of it. Creating people that are smarter, stronger, healthier, or more productive.

It comes with plenty of social and ethical implications and challenges. How will we face this future? Let’s find out today.

Continue reading “Transhumanism and Humanity’s Desire to Escape Death” »

Dec 7, 2021

A deep learning model rapidly predicts the 3D shapes of drug-like molecules

Posted by in categories: biotech/medical, robotics/AI

In their quest to discover effective new medicines, scientists search for drug-like molecules that can attach to disease-causing proteins and change their functionality. It is crucial that they know the 3D shape of a molecule to understand how it will attach to specific surfaces of the protein.

But a can fold in thousands of different ways, so solving that puzzle experimentally is a time consuming and expensive process akin to searching for a needle in a molecular haystack.

MIT researchers are using machine learning to streamline this complex task. They have created a that predicts the 3D shapes of a molecule solely based on a graph in 2D of its molecular structure. Molecules are typically represented as small graphs.

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