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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/
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.
Intel on Monday reaffirmed its commitment to its $28 billion project in New Albany and said it has struck a new multiyear, multibillion-dollar partnership with Amazon, one of its Licking County neighbors.
“We remain committed to our U.S. manufacturing investments and are moving forward with our projects in Arizona, Oregon, New Mexico and Ohio,” Intel CEO Pat Gelsinger said in a statement.
The company did not specify how many years or billions of dollars the Amazon partnership was for beyond that the chips will power artificial intelligence applications based on Intel’s most advanced technology.
The first language model was invented over 110+ years ago by Andrey Markov of the Markov Chain fame.
#AI #LLM
Shannon’s said: “OCRO HLI RGWR NMIELWIS”
Jensen Huang, Nvidia’s visionary CEO, challenges a long-held belief about the future of programming. While everyone has been saying it’s crucial to learn coding, Huang turns that idea on its head. With the rise of AI, we are ALL programmers now – without ever writing a line of code.
The real miracle is here: artificial intelligence. It has closed the gap between humans and technology, making complex computing accessible to all. Whether you’re a professional or someone just dipping their toes into the world of tech, AI is now in your hands. Are you going to let this chance slip by? The time to act is now! 🌍🤖
The technology divide is no more. Every government, industry, and business is investing in AI. Will you get on board, or be left in the dust?
Developing large-scale neural network models that mimic the brain’s activity is a major goal in the field of computational neuroscience. Existing models that accurately reproduce aspects of brain activity are notoriously complex, and fine-tuning model parameters often requires significant time, intuition, and expertise.
New published research from an interdisciplinary group of researchers primarily based at Carnegie Mellon University and the University of Pittsburgh presents a novel solution to mitigate some of these challenges. The machine learning-driven framework, Spiking Network Optimization using Population Statistics (SNOPS), can quickly and accurately customize models that reproduce activity to mimic what’s observed in the brain.
Continue reading “Novel framework allows for automated tuning of large-scale neuronal models” »
