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Category: transportation – Page 23

Study demonstrates phase-tunable spin-wave-mediated mutual synchronization of spin Hall nano-oscillators

Spin Hall nano-oscillators (SHNOs) are nanoscale spintronic devices that convert direct current into high-frequency microwave signals through spin wave auto-oscillations. This is a type of nonlinear magnetization oscillations that are self-sustained without the need for a periodic external force.

Theoretical and simulation studies found that propagating spin-wave modes, in which spin waves move across materials instead of being confined to the auto-oscillation region, can promote the coupling between SHNOs.

This coupling may in turn be harnessed to adjust the timing of oscillations in these devices, which could be advantageous for the development of neuromorphic computing systems and other spintronic devices.

The Man Machine (2009 Remaster)

Provided to youtube by parlophone UK

The Man Machine (2009 Remaster) · Kraftwerk.

The Man-Machine.

℗ 1978, 2009 Capitol Records, LLC. All rights reserved.

Electronics, Programmer, Synthesizer, Vocoder: Florian Schneider.
Engineer, Producer: Florian Schneider.
Engineer: Henning Schmitz.
Unknown: Joschko Rudas.
Audio Recording Engineer: Joschko Rudas.
Electronic Drums: Karl Bartos.
Unknown: Leanard Jackson.
Audio Recording Engineer: Leanard Jackson.
Electronics, Keyboards, Programmer, Synthesizer, Vocals, Vocoder, Voices: Ralf Hütter.
Engineer, Producer: Ralf Hütter.
Electronic Drums: Wolfgang Flür.
Composer: Karl Bartos.
Composer: Ralf Hütter.

Auto-generated by YouTube.

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The Top 9 AI Breakthroughs of 2024 (You Won’t Believe Are Real)

Are you ready to be amazed by the incredible advancements in artificial intelligence? In 2024, AI has reached unprecedented heights, showcasing breakthroughs that are revolutionizing industries and reshaping our everyday lives. This video explores the top 9 AI breakthroughs you won’t believe are real, highlighting innovations that are both astonishing and game-changing.

From groundbreaking developments in natural language processing to cutting-edge applications in healthcare, transportation, and creative arts, we cover the most significant strides in AI technology. Discover how these breakthroughs are enhancing efficiency, improving decision-making, and creating new possibilities that were once thought to be science fiction.

But it’s not just about the technology; we’ll also discuss the implications of these advancements. As AI becomes more integrated into our lives, understanding the benefits and challenges it presents is essential. This video provides insights into how these breakthroughs could change the way we interact with machines and each other.

What are the top AI breakthroughs of 2024? How is AI changing the world? What innovations in AI should I know about? What are the latest advancements in artificial intelligence? How will AI impact our future?This video will answer all these questions. Make sure you watch till the end!

#ai.
#artificialintelligence.
#aitechnology.

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Triple-Layer Battery Resistant to Fire and Explosion Created

A research team from DGIST’s (President Kunwoo Lee) Division of Energy & Environmental Technology, led by Principal Researcher Kim Jae-hyun, has developed a lithium metal battery using a “triple-layer solid polymer electrolyte” that offers greatly enhanced fire safety and an extended lifespan. This research holds promise for diverse applications, including in electric vehicles and large-scale energy storage systems.

Conventional solid polymer electrolyte batteries perform poorly due to structural limitations which hinder an optimal electrode contact.

This could not eliminate the issue of “dendrites” either, where lithium grows in tree-like structures during repeated charging and discharging cycles.

Molecular analysis and design using generative artificial intelligence via multi-agent modeling

We report the use of a multiagent generative artificial intelligence framework, the X-LoRA-Gemma large language model (LLM), to analyze, design and test molecular design. The X-LoRA-Gemma model, inspired by biological principles and featuring ~7 billion parameters, dynamically reconfigures its structure through a dual-pass inference strategy to enhance its problem-solving abilities across diverse scientific domains. The model is used to first identify molecular engineering targets through a systematic human-AI and AI-AI self-driving multi-agent approach to elucidate key targets for molecular optimization to improve interactions between molecules. Next, a multi-agent generative design process is used that includes rational steps, reasoning and autonomous knowledge extraction. Target properties of the molecule are identified either using a Principal Component Analysis (PCA) of key molecular properties or sampling from the distribution of known molecular properties. The model is then used to generate a large set of candidate molecules, which are analyzed via their molecular structure, charge distribution, and other features. We validate that as predicted, increased dipole moment and polarizability is indeed achieved in the designed molecules. We anticipate an increasing integration of these techniques into the molecular engineering workflow, ultimately enabling the development of innovative solutions to address a wide range of societal challenges. We conclude with a critical discussion of challenges and opportunities of the use of multi-agent generative AI for molecular engineering, analysis and design.

Meta Spending Soaring To $65 Billion On Artificial Intelligence, Massive Data Centers

In today’s AI news, Mark Zuckerberg announced a huge leap in Meta Platforms’s capital spending this year to between $60 billion to $65 billion, an increase driven by artificial intelligence and a massive new data center.

Zuckerberg plans to increase the company’s capital expenditures by as much as roughly 70% over 2024.

In other advancements, Hugging Face has achieved a remarkable breakthrough in AI, introducing vision-language models that run on devices as small as smartphones while outperforming their predecessors that require massive data centers. The company’s new SmolVLM-256M model, requiring less than one gigabyte of GPU memory, surpasses the performance of its Idefics 80B model from just 17 months ago — a system 300 times larger.

And, Anthropic has launched a new feature for its “Claude” family of AI models, one that enables the models to cite and link back to sources when answering questions about uploaded documents. The new feature, appropriately dubbed “Citations,” is now available for developers through Anthropic’s API.

Meanwhile, can AI agents reliably click on all images showing motorcycles or traffic lights for us? It might be too early to tell, considering that a robot will essentially have to tell a website that it is not a robot. However, it looks like at least one of OpenAI’s Operator users was able to have the AI agent beat CAPTCHAs for him.

S strategic radar. Disruptions aren Then, In this special episode of Lightcone, the Y Combinator hosts are joined by YC partner and creator of Gmail Paul Buchheit to dig into some of the latest trends in the world of AI startups. They recorded their conversation at a recent retreat where 300 of the top AI founders in the world gathered to share expertise and make predictions about how this technology will shape our future.

And, What new kinds of jobs will AI bring that we never could have imagined before? In this special two-part episode, Reid Hoffman and Aria Finger explore this question and more with Sierra co-founder and OpenAI chairperson Bret Taylor.

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