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AI can be creative, ethical when applied humanly

Artificial intelligence (AI) has seen increasing adoption with its use expanding into fraud detection and even the creative realm, which is commonly perceived to be intrinsically human. Humans, though, still have a role to play in areas that require intuition and morality.

Creative AI may seem to be an oxymoron, but AI-powered processes already are at work in activities that thrive on creativity, according to executives at Appier. Based in Taiwan, the SaaS vendor taps AI to build products for digital marketers and brands, processing almost 30 billion predictions a day. Its tools are touted to help these companies deliver richer user experience and identify customers with long-term value.

AI now was used to support creative processes such as generating marketing slogans, images, and music based on given parameters, said Appier’s chief AI scientist Sun Min, in an interview with ZDNet.

Engineer born with one hand makes a prosthetic one out of plastic bottles for $800

The Force was strong in him. One of Enzo Romero’s favorite activities is playing the guitar, which he effortlessly does with his bright blue hand. Initially, it used to hurt, as he used his handless right arm to press down on chords. But now, with fingers on the end, he can play music painlessly.


Star Wars: Episode V The Empire Strikes Back, marketed as simply The Empire Strikes Back, is a 1980 film directed by Irvin Kershner and written by Leigh Brackett and Lawrence Kasdan from a story by George Lucas. It is the second part of the Star Wars original trilogy.

The film concerns the continuing struggles of the Rebel Alliance against the Galactic Empire. During the film, Han Solo, Chewbacca, and Princess Leia Organa are being pursued across space by Darth Vader and his elite forces. Meanwhile, Luke Skywalker begins his major Jedi training with Yoda, after an instruction from Obi-Wan Kenobi’s spirit. In an emotional and near-fatal confrontation with Vader, Luke is presented with a horrific revelation and must face his destiny.

Though controversial upon release, the film has proved to be the most popular film in the series among fans and critics and is now widely regarded as one of the best sequel films of all time, as well as one of the greatest films of all time. It was re-released with changes in 1997 and on DVD in 2004. The film was re-released on Blu-ray format in September of 2011. A radio adaptation was broadcast on National Public Radio in the U.S.A. in 1983. The film was selected in 2010 to be preserved by the Library of Congress as part of its National Film Registry.

Israeli startup Viz.ai nabs $100m for AI tech that detects brain conditions in scans

Medical tech company Viz.ai, a developer of an AI-powered stroke detection and care platform, has pulled in a new investment of $100 million at a valuation of $1.2 billion, making it Israel’s newest unicorn (a private company valued at over $1 billion).

The company said Thursday that the Series D funding will be used to expand the Viz platform to detect and triage additional diseases and grow its customer base globally.

Viz.ai’s newest round was led by Tiger Global Management, a New York-based investment firm focused on software and financial tech, and Insight Partners, a VC and private equity firm also based in New York. Tiger Global has invested in Israeli companies such as cybersecurity companies Snyk and SentinelOne as well as payroll tech companies Papaya Global and HoneyBook. Insight Partners is a very active foreign investor in Israeli companies, with at least 76 local portfolio startups to its name including privacy startup PlainID, bee tech startup Beewise, and music tech startup JoyTunes.

Tesla bull predicts between 5 to 10 new gigafactories in the next two years

After a wild display of lights, music and futuristic technology, Tesla (TSLA) CEO Elon Musk kicked off the grand opening of the company’s new Texas gigafactory on Thursday.

The Austin plant — Tesla’s fourth globally — will manufacture the Model Y SUV and, next year, the highly-anticipated Cybertruck.

Tesla bull Kevin Paffrath predicts this is only the beginning electric-vehicle maker.

Why Going Faster-Than-Light Leads to Time Paradoxes

►Is faster-than-light (FTL) travel possible? In most discussions of this, we get hung up on the physics of particular ideas, such as wormholes or warp drives. But today, we take a more zoomed out approach that addresses all FTL propulsion — as well as FTL messaging. Because it turns out that they all allow for time travel. Join us today as we explore why this is so and the profound consequences that ensue. Special thanks to Prof Matt.

Written & presented by Prof David Kipping. Special thanks to Prof Matt Buckley for fact checking and his great blog article that inspired this video (http://www.physicsmatt.com/blog/2016/8/25/why-ftl-implies-time-travel)

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::References::
► Alcubierre, M., 1994, “The warp drive: hyper-fast travel within general relativity”, Classical and Quantum Gravity, 11 L73: https://arxiv.org/abs/gr-qc/0009013
► Pfenning, M. & Ford, L., 1997, “The unphysical nature of Warp Drive”, Classical and Quantum Gravity, 14, 1743: https://arxiv.org/abs/gr-qc/9702026
► Finazzi, S., Liberati, S., Barceló, C., 2009, “Semiclassical instability of dynamical warp drives”, Physical Review D., 79, 124017: https://arxiv.org/abs/0904.0141
► McMonigal, B., Lewis, G., O’Byrne, P., 2012, “Alcubierre warp drive: On the matter of matter”, Physical Review D., 85, 064024: https://arxiv.org/abs/1202.5708
► Everett, A., 1996, “Warp drive and causality”, Physical Review D, 53, 7365: https://journals.aps.org/prd/abstract/10.1103/PhysRevD.53.

::Music::

Cute Oscilloscope Uses LEDs For Display

Oscilloscopes were once commonly called CROs, for the fact that they relied on cathode ray tubes for display. Since then, technology has moved quickly, and oscilloscopes these days almost entirely rely on modern screens like LCDs. However, [lonesoulsurfer] went a different route with this fun DIY build, creating an oscilloscope with a low-resolution LED display.

Yes, the signals are shown on a 10×10 matrix made up of red LEDs. The individual pixels look nicely diffused and chunky thanks to the fact that [lonesoulsurfer] was able to source square 5mm LEDs for the build. The whole project only uses four ICs – a decade counter and a LM3914 LED driver to run the display, a 555 timer for clock input, and an LM386 op-amp for amplifying incoming signals.

With a mic fitted onboard, the oscilloscope can act as a simple music visualizer, or be used with a probe to investigate actual circuits. It may not be of great enough resolution or precision for fine work, but it’ll at least tell you if your microcontroller’s clock is running properly if you’re scratching your head about the function of a simple project.

The promise of AI with Demis Hassabis — DeepMind: The Podcast (Season 2, Episode 9)

Hannah wraps up the series by meeting DeepMind co-founder and CEO, Demis Hassabis. In an extended interview, Demis describes why he believes AGI is possible, how we can get there, and the problems he hopes it will solve. Along the way, he highlights the important role of consciousness and why he’s so optimistic that AI can help solve many of the world’s major challenges. As a final note, Demis shares the story of a personal meeting with Stephen Hawking to discuss the future of AI and discloses Hawking’s parting message.

For questions or feedback on the series, message us on Twitter @DeepMind or email [email protected].

Interviewee: Deepmind co-founder and CEO, Demis Hassabis.

Credits.
Presenter: Hannah Fry.
Series Producer: Dan Hardoon.
Production support: Jill Achineku.
Sounds design: Emma Barnaby.
Music composition: Eleni Shaw.
Sound Engineer: Nigel Appleton.
Editor: David Prest.
Commissioned by DeepMind.

Thank you to everyone who made this season possible!

Further reading:

SXSW Conference & Festivals

SXSW has been a part of my life for decades. If you live around Texas, check it out. It has transformed from a simple music fest, to simply awesome.


South by Southwest® (SXSW®) celebrates the convergence of tech, film, and music industries. Join us for SXSW 2022 from March 11–20 in Austin, Texas.

We’re Building Computers Wrong

Visit https://brilliant.org/Veritasium/ to get started learning STEM for free, and the first 200 people will get 20% off their annual premium subscription. Digital computers have served us well for decades, but the rise of artificial intelligence demands a totally new kind of computer: analog.

Thanks to Mike Henry and everyone at Mythic for the analog computing tour! https://www.mythic-ai.com/
Thanks to Dr. Bernd Ulmann, who created The Analog Thing and taught us how to use it. https://the-analog-thing.org.
Moore’s Law was filmed at the Computer History Museum in Mountain View, CA.
Welch Labs’ ALVINN video: https://www.youtube.com/watch?v=H0igiP6Hg1k.

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References:
Crevier, D. (1993). AI: The Tumultuous History Of The Search For Artificial Intelligence. Basic Books. – https://ve42.co/Crevier1993
Valiant, L. (2013). Probably Approximately Correct. HarperCollins. – https://ve42.co/Valiant2013
Rosenblatt, F. (1958). The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain. Psychological Review, 65, 386–408. – https://ve42.co/Rosenblatt1958
NEW NAVY DEVICE LEARNS BY DOING; Psychologist Shows Embryo of Computer Designed to Read and Grow Wiser (1958). The New York Times, p. 25. – https://ve42.co/NYT1958
Mason, H., Stewart, D., and Gill, B. (1958). Rival. The New Yorker, p. 45. – https://ve42.co/Mason1958
Alvinn driving NavLab footage – https://ve42.co/NavLab.
Pomerleau, D. (1989). ALVINN: An Autonomous Land Vehicle In a Neural Network. NeurIPS, 1305-313. – https://ve42.co/Pomerleau1989
ImageNet website – https://ve42.co/ImageNet.
Russakovsky, O., Deng, J. et al. (2015). ImageNet Large Scale Visual Recognition Challenge. – https://ve42.co/ImageNetChallenge.
AlexNet Paper: Krizhevsky, A., Sutskever, I., Hinton, G. (2012). ImageNet Classification with Deep Convolutional Neural Networks. NeurIPS, (25)1, 1097–1105. – https://ve42.co/AlexNet.
Karpathy, A. (2014). Blog post: What I learned from competing against a ConvNet on ImageNet. – https://ve42.co/Karpathy2014
Fick, D. (2018). Blog post: Mythic @ Hot Chips 2018. – https://ve42.co/MythicBlog.
Jin, Y. & Lee, B. (2019). 2.2 Basic operations of flash memory. Advances in Computers, 114, 1–69. – https://ve42.co/Jin2019
Demler, M. (2018). Mythic Multiplies in a Flash. The Microprocessor Report. – https://ve42.co/Demler2018
Aspinity (2021). Blog post: 5 Myths About AnalogML. – https://ve42.co/Aspinity.
Wright, L. et al. (2022). Deep physical neural networks trained with backpropagation. Nature, 601, 49–555. – https://ve42.co/Wright2022
Waldrop, M. M. (2016). The chips are down for Moore’s law. Nature, 530144–147. – https://ve42.co/Waldrop2016

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