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Category: robotics/AI – Page 1134

Joscha Bach is a cognitive scientist focused on cognitive architectures, mental representation, emotion, social modeling, and learning.

Currently the Principal AI Engineer, Cognitive Computing at Intel Labs, having authored the book “Principles of Synthetic Intelligence”, his focus is how to build machines that can perceive, think and learn.

In this video you can watch his keynote presentation at the AGI-22 Conference, on the topic of “It from no Bit: Basic Cosmology from an AI Perspective”.

Joscha’s Twitter: https://twitter.com/Plinz.

Continue reading “AGI-22 | Joscha Bach — It from no Bit: Basic Cosmology from an AI Perspective” | >

How likely is it that we live in a simulation? Are virtual worlds real?

In this first episode of the 2nd Series we delve into the fascinating topic of virtual reality simulations and the extraordinary possibility that our universe is itself a simulation. For thousands of years some mystical traditions have maintained that the physical world and our separated ‘selves’ are an illusion, and now, only with the development of our own computer simulations and virtual worlds have scientists and philosophers begun to assess the statistical probabilities that our shared reality could in fact be some kind of representation rather than a physical place.
As we become more open to these possibilities, other difficult questions start to come into focus. How can we create a common language to talk about matter and energy, that bridges the simulated and simulating worlds. Who could have created such a simulation? Could it be an artificial intelligence rather than a biological or conscious being? Do we have ethical obligations to the virtual beings we interact with in our virtual worlds and to what extent are those beings and worlds ‘real’? The list is long and mind bending.

Fortunately, to untangle our thoughts on this, we have one of the best known philosophers of all things mind bending in the world, Dr. David Chalmers; who has just released a book ‘Reality+: virtual worlds and the problems of philosophy’ about this very topic. Dr. Chalmers is an Australian philosopher and cognitive scientist specialising in the areas of philosophy of mind and philosophy of language. He is a Professor of Philosophy and Neuroscience at New York University, as well as co-director of NYU’s Center for Mind, Brain and Consciousness. He’s the founder of the ‘Towards a Science of Consciousness Conference’ at which he coined the term in 1994 The Hard Problem of Consciousness, kicking off a renaissance in consciousness studies, which has been increasing in popularity and research output ever since.

Donate here: https://www.chasingconsciousness.net/episodes.

Continue reading “#16 David Chalmers PHD — THE SIMULATION HYPOTHESIS AND VIRTUAL WORLDS” | >

In a free-wheeling conversation with Joe Rogan, Jobs talks about Microsoft, Adobe, and much more.

If there was anything that could make a case for how far Artificial intelligence (AI) has come, it would be the ability to converse with the dead. Podcast.ai is a platform that aims to demonstrate this week after week with its in-depth interviews, which began with no one other than Steve Jobs.

The episode does begin with a big disclaimer that the entire conversation has been generated by AI. The podcast maker also taps into the expertise of play.ht, which, according to its webpage, gives one the option of 907 ultra-realistic voices to choose from.

Podcast.

Continue reading “This podcast brings Steve Jobs back to life, thanks to AI” | >

Hermeus is building the world’s fastest commercial aircraft. And we got to tour their hypersonic flight lab.

Watch the Challengers playlist ► https://youtube.com/playlist?list=PLXthoedLVIdKeeuwpDPSyHSC54obntRxB

The aircraft startup Hermeus is aiming to do something unprecedented: build an aircraft that can take off from sea level, hit hypersonic speeds, and land to be reused, all while using one jet engine.

To achieve that goal, Hermeus is experimenting with a demonstrator aircraft called Quarterhorse — a small single-engine autonomous vehicle designed to test the company’s one-of-a-kind engine and briefly hit Mach 5 to collect data.

Continue reading “This Mach-5 engine will do what no other can | Challengers” | >

Beware! This robotic arm has a powerful grip.

What would be your first reaction when you see a grey-colored robotic hand mimicking your real hand’s (assuming that the reader is a human) movements and functions? You’d be shocked and spooked, right? Well, a robotics company in Poland has managed to create such an unbelievable artificial hand for real, New Atlas.

A robotic hand that looks and works almost like a human hand is about to arrive in the market by 2023. Here is everything you want to know about the science and underlying technology that makes this innovation work.

Continue reading “Video: Here is a spooky robotic arm that can fool people into believing it’s a real human hand” | >

Providing “impeccable” security at the intersection of innovation, technology, and adventure sports.

Adrenaline junkies, thrill seekers, and newbies, you might want to add experiencing a first-of-its-kind giant swing backed by Artificial Intelligence (AI) to your bucket list.

IStock/Adventure_Photo.

Come 2023, tourists in Manali, a gorgeous high-altitude Himalayan town in Himachal Pradesh, a northern state in India. Manali is famed for its jaw-dropping sights and adventure tourism and is popular with backpackers and honeymooners. Founded by four childhood adventure enthusiast friends who are engineers, certified rock climbers, and mountaineers, the start-up, called ‘ManaliSwing,’ could be an additional feature in Manali’s cap.

Continue reading “World’s first AI-backed swing will provide top security to a retreat in the Himalayas” | >

Improving the efficiency of algorithms for fundamental computations is a crucial task nowadays as it influences the overall pace of a large number of computations that might have a significant impact. One such simple task is matrix multiplication, which can be found in systems like neural networks and scientific computing routines. Machine learning has the potential to go beyond human intuition and beat the most exemplary human-designed algorithms currently available. However, due to the vast number of possible algorithms, this process of automated algorithm discovery is complicated. DeepMind recently made a breakthrough discovery by developing AplhaTensor, the first-ever artificial intelligence (AI) system for developing new, effective, and indubitably correct algorithms for essential operations like matrix multiplication. Their approach answers a mathematical puzzle that has been open for over 50 years: how to multiply two matrices as quickly as possible.

AlphaZero, an agent that showed superhuman performance in board games like chess, go, and shogi, is the foundation upon which AlphaTensor is built. The system expands on AlphaZero’s progression from playing traditional games to solving complex mathematical problems for the first time. The team believes this study represents an important milestone in DeepMind’s objective to improve science and use AI to solve the most fundamental problems. The research has also been published in the established Nature journal.

Matrix multiplication has numerous real-world applications despite being one of the most simple algorithms taught to students in high school. This method is utilized for many things, including processing images on smartphones, identifying verbal commands, creating graphics for video games, and much more. Developing computing hardware that multiplies matrices effectively consumes many resources; therefore, even small gains in matrix multiplication efficiency can have a significant impact. The study investigates how the automatic development of new matrix multiplication algorithms could be advanced by using contemporary AI approaches. In order to find algorithms that are more effective than the state-of-the-art for many matrix sizes, AlphaTensor further leans on human intuition. Its AI-designed algorithms outperform those created by humans, which represents a significant advancement in algorithmic discovery.

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