Lifeboat Foundation

Researchers at the Indian Institute of Science (IISc) have developed a brain-inspired analog computing platform capable of storing and processing data in an astonishing 16,500 conductance states within a molecular film. Published today in the journal Nature, this breakthrough represents a huge step forward over traditional digital computers in which data storage and processing are limited to just two states.

Such a platform could potentially bring complex AI tasks, like training Large Language Models (LLMs), to personal devices like laptops and smartphones, thus taking us closer to democratizing the development of AI tools. These developments are currently restricted to resource-heavy data centers, due to a lack of energy-efficient hardware. With silicon electronics nearing saturation, designing brain-inspired accelerators that can work alongside silicon chips to deliver faster, more efficient AI is also becoming crucial.

“Neuromorphic computing has had its fair share of unsolved challenges for over a decade,” explains Sreetosh Goswami, Assistant Professor at the Centre for Nano Science and Engineering (CeNSE), IISc, who led the research team. “With this discovery, we have almost nailed the perfect system—a rare feat.”

The authors review the advantages and future prospects of neuromorphic computing, a multidisciplinary engineering concept for energy-efficient artificial intelligence with brain-inspired functionality.

After about 6 prompts, ChatGPT o1’s preview and mini create a running version of the code described from the methods section of my research paper. I do want to emphasize that while the skeletal code does emulate what my code does, it did use its own synthetic data I asked for it to create as opposed to real astronomical data that would be used in a real paper. Nevertheless, the potential it has is incredible, to effectively accomplish what I struggled for about 10 months in my first year of my PhD. I am excited to apply o1 for other use cases. Thank you to everyone who tuned in live last night! #ai #openaio1 ##chatgpt

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SambaNova Systems has just unveiled a new demo on Hugging Face, offering a high-speed, open-source alternative to OpenAI’s o1 model.

This demonstration is important because it shows that freely available AI models can…

SambaNova challenges OpenAI’s o1 model with Llama 3.1-powered demo on HuggingFace https://venturebeat.com/ai/sambanova-challenges-openais-o1-m…ggingface/

Continue reading “RDU: The GPU Alternative” »

Not only will these export controls be increasingly difficult to implement, but they would also unlikely be in the best interests of the United States. Indeed, the current trajectory of export policies risks unintended consequences for little long-term strategic benefit. These include a decline in the competitiveness of the United States, a decoupling from U.S.-developed technology, and uncertainty for the domestic tech industry, amongst other risks.

A Better Way Forward

For the United States to maintain its global AI leadership, it must focus on competition and outcompeting its geopolitical rivals in the development, implementation, and diffusion of AI-based systems domestically and internationally instead of an expert-control-first approach. Defending against the rise of digital authoritarianism requires embracing competition and openness, enabling effective market access, and supporting the diffusion of U.S. AI-enabled technology and governance standards.

“To be able to manage important aspects of my environment and control access to entertainment gives me back the independence that I’m losing,” Mark said.

The chip sits on a blood vessel and senses his brain activity, which is then translated into specific commands and sent to his digital devices for recognition. In a video shared by Synchron, Mark is seen mentally tapping on icons on his devices, ordering Alexa to turn the lights on and off, and checking his security camera to see who is outside — all without using his hands or voice.

“Synchron’s BCI is bridging the gap between neurotechnology and consumer tech, making it possible for people with paralysis to regain control of their environment,” Thomas Oxley, the company’s chief executive, said. “While many smart home systems rely on voice or touch, we are sending control signals directly from the brain, bypassing the need for these inputs. We’re thrilled … to address a critical unmet need for millions of people with mobility and voice impairment.”

In context: Upscaling tech like Nvidia’s DLSS can enhance lower-resolution images and improve image quality while achieving higher frame rates. However, some gamers are concerned that this technology might become a requirement for good performance – a valid fear, even though only a few games currently list system requirements that include upscaling. As the industry continues to evolve, how developers address these concerns remains to be seen.

AI, in its current primitive form, is already benefiting a wide array of industries, from healthcare to energy to climate prediction, to name just a few. But when asked at the Goldman Sachs Communacopia + Technology Conference in San Francisco last week which AI use case excited him the most, Nvidia CEO Jensen Huang responded that it was computer graphics.

“We can’t do computer graphics anymore without artificial intelligence,” he said. “We compute one pixel, we infer the other 32. I mean, it’s incredible… And so we hallucinate, if you will, the other 32, and it looks temporally stable, it looks photorealistic, and the image quality is incredible, the performance is incredible.”

If you have read my novel Contemplating Oblivion, would you please take a moment to review it on Amazon or Goodreads? Thank you very much.