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Category: robotics/AI – Page 69
AWS’ megacluster of chips for AI startup Anthropic will be among the world’s largest, it said, and its new giant server will lower the cost of AI as it seeks to build an alternative to Nvidia.
In a recent study published in the journal Cell Reports, researchers used the machine learning (ML)-based Variational Animal Motion Embedding (VAME) segmentation platform to analyze behavior in Alzheimer’s disease (AD) mouse models and tested the effect of blocking fibrinogen-microglia interactions. They found that AD models showed age-dependent behavioral disruptions, including increased randomness and disrupted habituation, largely prevented by reducing neuroinflammation, with VAME outperforming traditional methods in sensitivity and specificity.
Background
Behavioral alterations, central to neurological disorders, are complex and challenging to measure accurately. Traditional task-based tests provide limited insight into disease-induced changes. However, advances in computer vision and ML tools, such as DeepLabCut, SLEAP, and VAME, now enable the segmentation of spontaneous mouse behavior into postural units (motifs) to uncover sequence and hierarchical structure, offering scalable, unbiased measures of brain dysfunction.
Nvidia CEO Jensen Huang has a plan to bring AI infrastructure to countries around the world, and he’s pitching it in person.
Large language models such as OpenAI’s o1 have electrified the debate over achieving artificial general intelligence, or AGI. But they are unlikely to reach this milestone on their own.
I had wondered if AI could just learn and advance from it s users.
During your first driving class, the instructor probably sat next to you, offering immediate advice on every turn, stop and minor adjustment. If it was a parent, they might have even grabbed the wheel a few times and shouted “Brake!” Over time, those corrections and insights developed experience and intuition, turning you into an independent, capable driver.
Although advancements in artificial intelligence (AI) have made self-driving cars a reality, the teaching methods used to train them remain a far cry from even the most nervous side-seat driver. Rather than nuance and real-time instruction, AI learns primarily through massive datasets and extensive simulations, regardless of the application.
Inside the surprisingly meaningful, unexpectedly heartbreaking, and deeply confusing reality of AI relationships.
Amazon just dropped Nova multimodal AI models that beat gpt-4o and sonnet 3.5 🤯
New state-of-the-art foundation models from Amazon deliver frontier intelligence and industry-leading price performance.
As described in that paper and henceforth, a transformer is a deep learning neural network architecture that processes sequential data, such as text or time-series information.
Now, MIT-birthed startup Liquid AI has introduced STAR (Synthesis of Tailored Architectures), an innovative framework designed to automate the generation and optimization of AI model architectures.
The STAR framework leverages evolutionary algorithms and a numerical encoding system to address the complex challenge of balancing quality and efficiency in deep learning models.
Froilan Mendoza is Founder & Chief Technology Officer of Fulcrum Solutions.
Small businesses are the backbone of the U.S. economy. They represent 99.9% of all businesses in the country, account for 43.5% of GDP and employ almost half of the U.S. workforce. Yet small business owners have always had to overcome obstacles to survive and succeed. Lack of capital is responsible for 38% of small business failures. Labor costs make up 70% of their expenses, and a national labor shortage of 2 million workers is exacerbating the difficulty of hiring and keeping talent.
The good news is that AI is leveling the playing field for small businesses, giving them easy-to-use tools to optimize their processes and scale their organizations without huge teams or budgets. A 2024 study from the U.S. Chamber of Commerce found that 98% of small businesses are already using an AI-enabled tool, and 91% of owners say that AI will fuel future business growth. The use of generative AI tools, such as chatbots and image creators, grew by 40% in the last year.