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Madhumita Murgia Hi, my name is Madhumita Murgia, and I’m one of the presenters of Tech Tonic. We’re looking for some feedback from our listeners about the show. So if you have a second, please fill out our brief listener survey, which you can find at ft.com/techtonicsurvey.

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In this season of Tech Tonic, we’ve been talking about quantum computers and why some people think they’re so revolutionary. But so far we’ve mainly talked about the things quantum computers can do, or at least what they might be able to do in the future that makes them so groundbreaking: performing calculations that should take centuries in minutes, cracking the unbreakable codes of the internet, dramatically speeding up the development of new drugs and materials. But what we haven’t done yet is look at why they’re able to do these things. What’s going on inside a quantum computer that makes them so extraordinary, so completely different to any computer that’s come before.

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IBM Watson is AI for business: https://ibm.biz/IBM_and_Watson_AI_Are_we_there_yet.

Ask AI experts about the progress of artificial intelligence and they may say “We’re only five or ten years away.” Five or ten years later, are experts still saying the same thing? In this video with Martin Keen and Jeff Crume, they review the progress in AI and try to answer the question: Are we there yet?

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Physicists at Delft University of Technology have built a new technology on a microchip by combining two Nobel Prize-winning techniques for the first time. This microchip could measure distances in materials at high precision—for example, underwater or for medical imaging.

Because the technology uses sound vibrations instead of light, it is useful for high-precision position measurements in opaque materials. The instrument could lead to new techniques to monitor the Earth’s climate and human health. The work is now published in Nature Communications.

The microchip mainly consists of a thin ceramic sheet that is shaped like a trampoline. This trampoline is patterned with holes to enhance its interaction with lasers and has a thickness about 1,000 times smaller than the thickness of a hair. As a former Ph.D. candidate in Richard Norte’s lab, Matthijs de Jong studied the small trampolines to figure out what would happen if they pointed a simple at them.

A good open world game is filled with little details that add to a player’s sense of immersion. One of the key elements is the presence of background chatter. Each piece of dialog you hear is known as a “bark” and must be individually written by the game’s creators — a time consuming, detailed task. Ubisoft, maker of popular open world gaming series like Assassin’s Creed and Watch Dogs, hopes to shorten this process with Ghostwriter, a machine learning tool that generates first drafts of barks.

To use Ghostwriter, narrative writers input the character and type of interaction they are looking to create. The tool then produces variations, each with two slightly different options, for writers to review. As the writers make edits to the drafts, Ghostwriter updates, ideally producing more tailored options moving forward.

The idea here is to save game writers time to focus on the big stuff. “Ghostwriter was created hand-in-hand with narrative teams to help them complete a repetitive task more quickly and effectively, giving them more time and freedom to work on games’ narrative, characters, and cutscenes,” Ubisoft states in a video release.

What if we’ll always be at the bottom of the Kardashev Scale? Join us… and find out!

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Did an advanced civilization exist before us? Could they have CREATED us?? In this video, Unveiled takes a closer look at the idea that humankind is actually built be a HIGHER POWER… that we’re really controlled by a force that’s beyond our recognition… and finds out what it could mean for the future of our species!

This is Unveiled, giving you incredible answers to extraordinary questions!

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The Six Million Dollar Man is an American science fiction and action television series about a former astronaut, Colonel Steve Austin, portrayed by American actor Lee Majors. Austin has superhuman strength due to bionic implants and is employed as a secret agent by a fictional U.S. government office named OSI The series was based on the Martin Caidin novel Cyborg, which. was the working title of the series during pre-production.

Following three television pilot movies, which all aired in 1973, the The Six Million Dollar Man aired on the ABC network as a regular episodic series for five seasons from 1974 to 1978. Steve Austin became a pop culture icon of the 1970s. A spin-off television series, The Bionic Woman, featuring the lead female character Jaime Sommers, ran from 1976 to 1978 (and was the subject of a remake in 2007). Three television movies featuring both bionic characters were also produced from 1987 to 1994.

When NASA astronaut Steve Austin is severely injured in the crash of an experimental lifting body aircraft, he is “rebuilt” in an operation that costs six million dollars. His right arm, both legs and the left eye are replaced with “bionic” implants that enhance his strength, speed and vision far above human norms: he can run at speeds of 60 mph (97 km/h), and his eye has a 20:1 zoom lens and infrared capabilities, while his bionic limbs all have the equivalent power of a bulldozer. He uses his enhanced abilities to work for the OSI (Office of Scientific Intelligence) as a secret agent.

In this video, we will explore the positional system of the brain — hippocampal place cells. We will see how it relates to contextual memory and mapping of more abstract features.

OUTLINE:
00:00 Introduction.
00:53 Hippocampus.
1:27 Discovery of place cells.
2:56 3D navigation.
3:51 Role of place cells.
4:11 Virtual reality experiment.
7:47 Remapping.
11:17 Mapping of non-spatial dimension.
13:36 Conclusion.

_____________
REFERENCES:

1) Anderson, M.I., Jeffery, K.J., 2003. Heterogeneous Modulation of Place Cell Firing by Changes in Context. J. Neurosci. 23, 8827–8835. https://doi.org/10.1523/JNEUROSCI.23-26-08827.

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The talk about AI taking our programming jobs is everywhere. There are articles being written, social media going crazy, and comments on seemingly every one of my YouTube videos. And when I made my video about ChatGPT, I had two particular comments that stuck out to me. One was that someone wished I had included my opinion about AI in that video, and the other was asking if AI will make programmers obsolete in 5 years. This video is to do just that. And after learning, researching, and using many different AI tools over the last many months (a video about those tools coming soon), well let’s just say I have many thoughts on this topic. What AI can do for programmers right now. How it’s looking to progress in the near future. And will it make programmers obsolete in the next 5 years? Enjoy!!

The Sessions I Mentioned:
Fireside Chat with Ilya Sutskever and Jensen Huang: AI Today and Vision of the Future [S52092]: https://www.nvidia.com/gtc/session-catalog/?ncid=ref-inor-73…314001t6Nv.
Using AI to Accelerate Scientific Discovery [S51831]: https://www.nvidia.com/gtc/session-catalog/?ncid=ref-inor-73…197001tw0E
Generative AI Demystified [S52089]: https://www.nvidia.com/gtc/session-catalog/?ncid=ref-inor-73…393001DjiP
3D by AI: Using Generative AI and NeRFs for Building Virtual Worlds [S52163]: https://www.nvidia.com/gtc/session-catalog/?ncid=ref-inor-73…782001l1Ul.
Achieving Enterprise Transformation with AI and Automation Technologies [S52056]: https://www.nvidia.com/gtc/session-catalog/?ncid=ref-inor-73…353001hjSr.

A portion of this video is sponsored by NVIDIA.