Motherboard spoke to multiple voice actors and advocacy organizations, some of which said contracts including language around synthetic voices are now very prevalent.
Category: robotics/AI – Page 1,103
Hundreds of thousands of brain cells in a dish are being taught to play Pong by responding to pulses of electricity – and can improve their performance more quickly than an AI can.
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(Filmed as: Blade Runner) by Philip K. Dick full audiobook. With cast and corresponding animated imagery.
Bounty hunter Rick Deckard wakes up to a world devastated by nuclear war, where humans care for animals to prevent the mass extinction of several species, where androids are colonial slaves who kill their masters and flee to hide on Earth.
Deckard’s boss Harry Bryant tells him that Dave Holden, another bounty hunter, was hurt while hunting fugitive androids, and now Deckard has to finish the job.
The catch? The androids are Nexus-6 models, the most intelligent, advanced androids ever created.
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All male parts (except Roy Batty) voiced by Matthew Silas Sedgwick.
All female parts voiced by Makyla Meyer.
Roy Batty voiced by Chris Carter.
Prologue — 00:00:00
Chapter 1 — 00:00:40
Chapter 2 — 00:19:19
Chapter 3 — 00:38:44
Chapter 4 — 00:51:12
Chapter 5 — 01:10:13
Chapter 6 — 01:30:45
Chapter 7 — 01:42:17
Chapter 8 — 02:05:21
Chapter 9 — 02:23:44
Chapter 10 — 02:45:38
Chapter 11 — 02:58:12
Chapter 12 — 03:10:20
Chapter 13 — 03:33:27
Chapter 14 — 03:47:35
Chapter 15 — 04:06:07
Chapter 16 — 04:34:16
Chapter 17 — 04:53:27
Chapter 18 — 05:04:06
Chapter 19 — 05:25:33
Chapter 20 — 05:39:39
Chapter 21 — 05:43:52
Chapter 22 — 05:56:07
#philipkdick #bladerunner #audiobook
For centuries, the town of Carrara’s prosperity has depended on artists. Its famed Tuscan marble quarries supplied artists like Michelangelo, Canova and Bernini with the finest material for their sculptures. Today, robots are being used to create modern-day works. Chris Livesay has more.
#news #marble #technology.
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‘Is AI Extending the Mind?’ is the second annual workshop by Cross Labs, this year held virtually from April 11 – 15, 2022.This workshop expands on our previ…
Over 50 percent of high-mass stars reside in multiple star systems. But due to their complex orbital interactions, physicists have a difficult time understanding just how stable and long-lived these systems are. Recently a team of astronomers applied machine learning techniques to simulations of multiple star systems and found a new way that stars in such systems can arrange themselves.
Classical mechanics has a notorious problem known as the three-body problem. While Newton’s laws of gravity can easily handle calculations of the forces between two objects and their subsequent evolution, there is no known analytic solution when you include a third massive object. In response to that problem, physicists over the centuries have developed various approximation schemes to study these kinds of systems, concluding that the vast majority of possible three-object arrangements are unstable.
But it turns out that there are a lot of multiple-star systems out there in the galaxy. Indeed, over half of all massive stars belong to at least a binary pair, and many of them belong to triple or quadruple star systems. Obviously, the systems last a long time. Otherwise, they would have flung themselves apart a long time ago before we had a chance to observe them. But because of the limitations of our tools, we have difficulty assessing how these systems organize themselves and what stable orbit options exist.
An international team led by researchers from Nanyang Technological University, Singapore (NTU Singapore) has developed a universal connector to assemble stretchable devices simply and quickly, in a “Lego-like” manner.
Stretchable devices including soft robots and wearable health care devices are assembled using several different modules with different material characteristics—some soft, some rigid, and some encapsulated.
However, the commercial pastes (glue), currently used to connect the modules often either fail to transmit mechanical and electrical signals reliably when deformed or break easily.
GitHub has updated the AI model of Copilot, a programming assistant that generates real-time source code and function recommendations in Visual Studio, and says it’s now safer and more powerful.
The company says the new AI model, which will be rolled out to users this week, offers better quality suggestions in a shorter time, further improving the efficiency of software developers using it by increasing the acceptance rate.
CoPilot will introduce a new paradigm called “Fill-In-the-Middle,” which uses a library of known code suffixes and leaves a gap for the AI tool to fill, achieving better relevance and coherence with the rest of the project’s code.