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Category: robotics/AI – Page 760

The future of cities as seen by architects and urban planners. Future cities: Urban planners get creative | DW DocumentaryYOUTUBE.COMFuture cities: Urban planners get creative | DW Documentary.

Will the cities of the future be climate neutral? Might they also be able to actively filter carbon dioxide out of the air? Futurologist Vincente Guallarte thinks so. In fact, he says, our cities will soon be able to absorb CO2, just like trees do.

To accomplish this, Guallarte wants to bring sustainable industries and agriculture to our urban centers, with greenhouses atop every building. But in order for Guallarte’s proposal to work, he says, cities will have learn to submit to the laws and principles of nature.

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In a breakthrough for optical computing, researchers developed a nanosecond-scale volatile modulation scheme integrating a phase-change material.

Technological advancements such as autonomous driving and computer vision have spurred a significant increase in demand for computational power. Optical computing, characterized by its high throughput, energy efficiency, and low latency, has attracted significant interest from both academia and industry. However, current optical computing chips are hampered by their power consumption and size, which limit the scalability of optical computing networks.

Nonvolatile integrated photonics has emerged to address these issues, offering optical computing devices the ability to perform in-memory computing while operating with zero static power consumption. Phase-change materials (PCMs), with their high refractive index contrast between different states and reversible transitions, have become promising candidates for enabling photonic memory and nonvolatile neuromorphic photonic chips. This makes PCMs ideally suited for large-scale nonvolatile optical computing chips.

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In April, Alibaba launched its large language model (LLM) called Tongyi Qianwen. A LLM is an artificial intelligence model trained on huge amounts of data. It is also the basis for generative AI applications, such as ChatGPT — which generate human-like responses to user prompts.

Tongyi Qianwen allows AI content generation in English and Chinese and has different model sizes, including seven billion parameters and above. A model’s parameters refer to its power.

Alibaba will be open-sourcing the seven-billion-parameter model called Qwen-7B, along with a version designed for conversational apps, called Qwen-7B-Chat. This means that researchers, academics and companies globally can use the model to create their own generative AI apps without needing to train their own systems, saving time and expense. Companies with more than 100 million monthly active users will require a royalty-free license from Alibaba to do so.

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Joscha Bach is a cognitive scientist, AI researcher, and philosopher. Please support this podcast by checking out our sponsors:
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TRANSCRIPT:

Transcript for Joscha Bach: Life, Intelligence, Consciousness, AI & the Future of Humans | Lex Fridman Podcast #392

EPISODE LINKS:
Joscha’s Twitter: https://twitter.com/Plinz.
Joscha’s Website: http://bach.ai.
Joscha’s Substack: https://substack.com/@joscha.

PODCAST INFO:

Continue reading “Joscha Bach: Life, Intelligence, Consciousness, AI & the Future of Humans | Lex Fridman Podcast #392” | >

Introduction to george hotz and connor leahy.

The debate opens with introductions to the two featured guests — George Hotz and Connor Leahy. Hotz is described as a maverick hacker known for daring technical exploits like jailbreaking the iPhone. His hacker skills are likened to the technical finesse of Elon Musk combined with the wit of Tony Stark. Leahy is introduced as a steadfast defender of AI safety, determined to safeguard humanity from potential threats posed by artificial intelligence. His goal is to “break the damning prophecy and render us super saved.”

George hotz’s opening statement: intelligence and power.

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A new artificial intelligence model finds that X-ray images collected during routine medical care can provide warning signs for diabetes, even in patients who don’t meet the guidelines for elevated risk. The model could help physicians detect the disease earlier and prevent complications, says a multi-institutional team which published the findings in Nature Communications.

Applying the known as to images and electronic health record data, the researchers developed a model that successfully flagged elevated in a retrospective analysis, often years before patients were diagnosed with the disease. That’s significant, the researchers say, given the prevalence of in the U.S. has more than doubled over the past 35 years.

Current guidelines suggest screening patients for type 2 diabetes if they are between 35 and 70 years old and have a body mass index (BMI) in the overweight to obese range.

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A research team consisting of the National Institute for Materials Science (NIMS) and the Tokyo University of Science has developed the fastest electric double layer transistor using a highly ion-conductive ceramic thin film and a diamond thin film.

This transistor may be used to develop energy-efficient, high-speed edge AI devices with a wide range of applications, including future event prediction and /determination in images (including ), voices and odors. This research was published in the June 16, 2023, issue of Materials Today Advances.

An electric double layer transistor works as a switch using electrical resistance changes caused by the charge and discharge of an electric double layer formed at the interface between the electrolyte and semiconductor. Because this transistor is able to mimic the electrical response of human cerebral neurons (i.e., acting as a neuromorphic transistor), its use in AI devices is potentially promising.

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The best detailed description of how consciousness develops and works that I’m aware of.

Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=e8qJsk1j2zE
Please support this podcast by checking out our sponsors:
- Numerai: https://numer.ai/lex.
- Eight Sleep: https://www.eightsleep.com/lex to get special savings.
- MasterClass: https://masterclass.com/lex to get 15% off.
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GUEST BIO:

Continue reading “When does a human child gain consciousness? | Joscha Bach and Lex Fridman” | >

The appetite for hardware to train AI models is voracious.

AI chips are forecast to account for up to 20% of the $450 billion total semiconductor market by 2025, according to McKinsey. And The Insight Partners projects that sales of AI chips will climb to $83.3 billion in 2027 from $5.7 billion in 2018, a compound annual growth rate 35%. (That’s close to 10 times the forecast growth rate for non-AI chips.)

Case in point, Tenstorrent, the AI hardware startup helmed by engineering luminary Jim Keller, this week announced that it raised $100 million in a convertible note funding round co-led by Hyundai Motor Group and Samsung Catalyst Fund.

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