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Archive for the ‘robotics/AI’ category: Page 243

Jan 7, 2024

Scientists Use AI To Unlock the Secrets of Bacterial Languages

Posted by in categories: biotech/medical, robotics/AI

Machine learning and laboratory experiments have provided scientists with insights into the different languages bacteria use to communicate. By understanding the ways in which bacteria interact and the circumstances under which their communication is disrupted, researchers can tackle issues related to drug-resistant bacteria and advance the development of biocomputing technologies.

The study builds on an earlier project in which the researchers showed that disrupting bacterial communication is an effective way to fight multidrug-resistant bacteria. Bacteria use small molecules to communicate with each other and coordinate infection, and the team showed that interfering with bacterial communication by blocking these molecules reduced inflammation and made the bacteria more vulnerable to antibiotics.

Jan 6, 2024

Many Artificial Intelligence Researchers Think There’s A Chance AI Could Destroy Humanity

Posted by in category: robotics/AI

Overall, they put the odds at around five percent.

Jan 6, 2024

Super Humanity | Breakthroughs in Neuroscience

Posted by in categories: education, finance, neuroscience, robotics/AI

Super Humanity — This documentary examines breakthroughs in neuroscience and technology. Imagine a future where the human brain and artificial intelligence connect.

Super Humanity (2019)
Director: Ruth Chao.
Writers: Ruth Chao, Paula Cons, Alphonse de la Puente.
Genre: Documentary, Sci-Fi.
Country: Portugal, Spain.
Language: English.
Release Date: December 27, 2019 (Spain)

Continue reading “Super Humanity | Breakthroughs in Neuroscience” »

Jan 6, 2024

How Lightmatter Breaks Bandwidth Bottlenecks With Silicon Photonics

Posted by in category: robotics/AI

Without question, the biggest bottleneck in artificial intelligence and for a lot of HPC workloads today is bandwidth. Bandwidth at the network level; bandwidth at the socket level; bandwidth at the compute and memory level. No matter how many teraflops one single chip can push at high precision, once your workload scales beyond a single accelerator, node, or rack, bandwidth quickly becomes the limiting factor.

We have seen chipmakers grapple with this on a number of levels, by packing more high-bandwidth memory onto their chips, boosting interconnect speeds, and by using chiplets to push beyond reticle limits. Intel’s “Ponte Vecchio” Max Series GPU and AMD’s recently announced “Antares” Instinct MI300X GPU are prime examples of the latter. Driving data between chiplets does introduce I/O bottlenecks in its own right, but we can’t exactly make the dies any bigger.

Aside from needing a socket that is bigger than the reticle limit of lithography machines, we still need more capacity to satiate the demands of modern AI and HPC workloads. Over the past few years, we’ve seen a trend toward denser boxes, racks, and clusters. Cloud providers, hyperscalers, and GPU bit barns are now deploying clusters with tens of thousands of accelerators to keep up with demand for AI applications. It’s at this beach head that silicon photonics startup Lightmatter, now valued at more than $1 billion, believes it has the market cornered.

Jan 6, 2024

OpenAI’s Plan to Give Everyone Custom Chatbots Drops Next Week

Posted by in category: robotics/AI

The GPT Store, Sam Altman’s AI marketplace, hopes to usher in a new era of helpful AI products.

Jan 6, 2024

Solar Fan Project

Posted by in categories: futurism, robotics/AI

Building the future with AI.

Jan 6, 2024

Fear is not an argument for rejecting artificial intelligence

Posted by in categories: biotech/medical, economics, encryption, genetics, quantum physics, robotics/AI

Scientific knowledge can progress rapidly, yet its social, economic, and political impacts often unfold at a painstakingly slow pace. The medicine of the 21st century draws upon genetic and embryological breakthroughs of the 19th century. Our current technology is firmly grounded in quantum physics, which was formulated a century ago. And the topic of the day, artificial intelligence (AI), traces its origins to the secret weapons research during World War II.

‌In 1935, the brilliant British mathematician, Alan Turing, envisioned a conceptual computer. His genius would later lead him to crack the Enigma code used by German submarines for secret communications during the war. Turing’s contributions extended beyond cryptography, as he introduced fundamental concepts of AI, including the training of artificial neural networks. Benedict Cumberbatch portrayed Turing in the 2014 film The Imitation Game, which earned a screenplay Oscar that year. All this historical context brings us to the heart of the current AI revolution.

‌AI uses neural networks, also known as artificial neural networks, which are comprised of multiple layers of artificial neurons. Each neuron receives numerous inputs from the lower layer and produces a single output to the upper layer, similar to the dendrites and axon of natural neurons. As information progresses through each layer, it gradually becomes more abstract, resembling the process that occurs in the visual cortex of our brains.

Jan 6, 2024

Launch HN: Rosebud (YC S19) — Turn game descriptions into browser games

Posted by in categories: entertainment, robotics/AI

Hackernews #1 @Rosebud_AI We’re building a platform to help users go from description to code to game. We aim to make game creation accessible to non-technical creators, so our UI provides explanations alongside the generated code.


Users have created a diverse range of games on Rosebud, including top-down RPGs, AI companions, and 3D obstacle courses, all within a few hours and sometimes minutes. Here are some examples you can play and clone (to start your own project).

* Anime Jester Companion: https://play.rosebud.ai/games/ba438cc4-246e-432e-b170-4e16948cd571 * Chat and Care for your Digital Puppy: https://play.rosebud.ai/games/f32a8159-7acf-4db6-a82c-70296f90bbf1 * Sphere Sync (3D game: align the sphere with the right color): https://play.rosebud.ai/games/96dfd5e1-62d4-47d8-a3e9-11038c8bb5cf * Basketball: https://play.rosebud.ai/games/a0e70622-e923-4517-8c1f-728dcf0db486 * Neon Waltz Generative Art: https://play.rosebud.ai/games/e32bd12b-7cc9-4f9a-b385-42ae0b096466 * Chat with Deku from My Hero Academia: https://play.rosebud.ai/games/716fd998-aab6-4185-8375-85d9eeb2adca

A simple way to think about Rosebud is ChatGPT + Midjourney + Replit. ChatGPT, because we give users a chat interface for this code editor so they can describe the game they want to make and generate game code; Midjourney, because we let users generate assets inside Rosebud, 2D and 3D, to be used in their games; And Replit, because Rosebud includes a browser based code editor that lets you deploy your game instantly.

Jan 6, 2024

Elon Musk Discusses Abundance, AGI, and Media in 2024 with Peter Diamandis

Posted by in categories: education, Elon Musk, life extension, Peter Diamandis, robotics/AI

In this episode, Peter and Elon hop on X Spaces to discuss Data-driven optimism, solving grand challenges, uplifting humanity, Digital Super Intelligence, Longevity, Education, and Abundance in 2024.

Elon Musk is a businessman, founder, investor, and CEO. He co-founded PayPal, Neuralink and OpenAI; founded SpaceX, and is the CEO of Tesla and the Chairman of X.

Continue reading “Elon Musk Discusses Abundance, AGI, and Media in 2024 with Peter Diamandis” »

Jan 6, 2024

Samsung plans to eliminate humans from its chip fabs by 2030 — push for full automation continues at full steam: Report

Posted by in category: robotics/AI

Samsung Electronics has started the development of its “Smart Sensing System,” which is designed to improve yields and transform the way its semiconductor fabs operate. The system is primarily designed to monitor and analyze the production process in real time and currently can automatically handle plasma uniformity. Eventually, Samsung plans to make its fabs fully automated and free of human labor by 2030, reports DigiTimes, citing ET News.

Samsung’s ultimate goal is to have fully unmanned semiconductor production facilities by 2030. Achieving this will require developing systems that can manage large amounts of data and optimize equipment performance automatically. The Smart Sensing System is an important part of this plan and is expected to play a crucial role in making these intelligent, fully automated fabs a reality. Samsung is currently investing tens of millions of won into projects like smart sensors, hoping that its investments will pay off in the long run.

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