anthropic Anthropic Secures $580M to Advance Safe AI Research AI research firm Anthropic raises $580 million in a Series B round led by FTX CEO Sam Bankman-Fried to advance AI safety and scaling laws. The company plans to expand its team and explore the societal impacts of machine learning.
anthropic Anthropic Raises $580 Million to Build Explainable, Safe AI Systems Anthropic secures a massive $580 million funding round to research how large-scale AI models operate and develop better built-in safeguards. The company focuses on making artificial intelligence more predictable and understandable as these systems rapidly grow in complexity.
deepset Deepset Secures $14 Million to Expand Open Source NLP Framework Deepset raises a $14 million Series A to grow its open source natural language processing framework, Haystack, and launch a new cloud platform.
artificial intelligence AI Predicts Startup Success and Simulates Platform Economies Researchers use reinforcement learning to reveal how revenue-maximizing platforms impact social welfare during economic shocks, while another AI system predicts which startups will receive funding.
iclr 2022 ICLR 2022 Reveals Seven Outstanding Paper Award Winners The International Conference on Learning Representations honors seven exceptional research papers for their clarity, creativity, and potential for lasting impact in the machine learning field.
iclr 2022 ICLR 2022 Reveals Seven Outstanding Paper Award Winners The International Conference on Learning Representations honors seven exceptional research papers for their clarity, creativity, and potential lasting impact in the field of machine learning.
machine learning Machine Learning Models Tackle Global Aid Data and Industrial Recycling Researchers are applying machine learning to unexpected areas, from analyzing two decades of international development aid to sorting millions of discarded machine parts for reuse.
machine learning Machine Learning Models Tackle Global Aid Data and Industrial Waste Researchers are applying machine learning to unexpected areas, from sorting $2.8 trillion in international development aid data to identifying reusable machine parts to reduce industrial waste.
google Google's Massive PaLM Language Model Surpasses Human Performance on Benchmarks Google Research unveils PaLM, a 540-billion-parameter AI language model trained on a record-breaking TPU cluster that outperforms humans on key benchmarks. The model demonstrates breakthrough reasoning capabilities, including logical inference and joke explanation.
google Google Unveils PaLM, a 540-Billion Parameter Language Model Google Research introduces PaLM, a massive 540-billion parameter language model trained using the new Pathways system. The model achieves state-of-the-art few-shot learning results across hundreds of tasks by efficiently scaling across thousands of chips.
google Google Unveils 540-Billion Parameter PaLM to Surpass Human NLP Benchmarks Google introduces PaLM, a massive 540-billion-parameter language model trained on over 6,000 TPU chips that outperforms human baselines on key reasoning and language evaluations.
google Google Unveils PaLM, a 540-Billion-Parameter Language Model Google Research introduces PaLM, a massive 540-billion-parameter AI model that outperforms human baselines on key language benchmarks. The system demonstrates unprecedented reasoning and logical inference capabilities.
google Google Unveils PaLM, a 540-Billion Parameter Language Model Google Research introduces PaLM, a massive 540-billion-parameter AI language model that outperforms human baselines on key reasoning benchmarks. The system leverages a record-setting TPU cluster to push the boundaries of natural language processing.
openai OpenAI Unveils DALL-E 2, Advancing the Future of Generative AI OpenAI introduces DALL-E 2, an upgraded deep learning model that generates highly accurate images from text descriptions while maintaining semantic consistency.
openai OpenAI Unveils DALL-E 2, Advancing the Future of Generative AI OpenAI introduces DALL-E 2, an upgraded deep learning model that generates highly detailed, semantically consistent images from text prompts. The new system highlights both the creative potential and ongoing challenges of generative AI technology.