Powered by global.ntt In the News AI Companies Lose $190 Billion After Dismal Financial Reports Following disappointing quarterly earnings results by Microsoft and Google owner Alphabet, Reuters reports that AI-related companies lost a whopping $190 billion in stock market value. futurism.com Sponsor GenAI can transform business operations GenAI presents immense opportunities for innovation, personalized customer…
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Powered by superai.com In the News Bill Gates explains how AI will change our lives in 5 years It’s no secret that Bill Gates is bullish on artificial intelligence, but he’s now predicting that the technology will be transformative for everyone within the next five years. cnn.com Sponsor Where AI meets the world: SuperAI |…
Powered by superai.com In the News AI for everything: 10 Breakthrough Technologies 2024 Generative AI tools like ChatGPT reached mass adoption in record time, and reset the course of an entire industry. technologyreview.com Sponsor Where AI meets the world: SuperAI | 5-6 June 2024, Singapore Join Edward Snowden, Benedict Evans, Balaji Srinivasan, and 150+ other…
Powered by clkmg.com In the News Sam Altman Seeks Trillions of Dollars to Reshape Business of Chips and AI OpenAI chief pursues investors including the U.A.E. for a project possibly requiring up to $7 trillion wsj.com Sponsor The Future of Work Management Picture a world where workflows are finely tuned, automated to perfection, and seamlessly…
The study diverges from previous approaches by concentrating on aligning long context, specifically by fine-tuning language models to interpret lengthy user prompts. Challenges include the absence of extensive datasets for supervised fine-tuning, difficulties in handling varied length distributions efficiently across multiple GPUs, and the necessity for robust benchmarks to assess the models’ capabilities with real-world…
One of the main hurdles in achieving high forecast accuracy is dealing with data with multiple seasonality patterns. This means that the data might show variations daily, weekly, monthly, or yearly, making it tricky to predict future trends accurately. Some tools and libraries are already available to address this issue. They work by analyzing the…
View synthesis, integral to computer vision and graphics, enables scene re-rendering from diverse perspectives akin to human vision. It aids in tasks like object manipulation and navigation while fostering creativity. Early neural 3D representation learning primarily optimized 3D data directly, aiming to enhance view synthesis capabilities for broader applications in these fields. However, all these…
The seamless integration of Large Language Models (LLMs) into the fabric of specialized scientific research represents a pivotal shift in the landscape of computational biology, chemistry, and beyond. Traditionally, LLMs excel in broad natural language processing tasks but falter when navigating the complex terrains of domains rich in specialized terminologies and structured data formats, such…
Neural operators, specifically the Fourier Neural Operators (FNO), have revolutionized how researchers approach solving partial differential equations (PDEs), a cornerstone problem in science and engineering. These operators have shown exceptional promise in learning mappings between function spaces, pivotal for accurately simulating phenomena like climate modeling and fluid dynamics. Despite their potential, the substantial computational resources…
