Tag: neural networks

  • Unit 42: One Step Ahead in Cyber Hide-and-Seek: Automating Malicious Infrastructure Discovery With Graph Neural Networks

    Source URL: https://unit42.paloaltonetworks.com/graph-neural-networks/ Source: Unit 42 Title: One Step Ahead in Cyber Hide-and-Seek: Automating Malicious Infrastructure Discovery With Graph Neural Networks Feedly Summary: Graph neural networks aid in analyzing domains linked to known attack indicators, effectively uncovering new malicious domains and cybercrime campaigns. The post One Step Ahead in Cyber Hide-and-Seek: Automating Malicious Infrastructure Discovery…

  • Hacker News: Entropy of a Large Language Model output

    Source URL: https://nikkin.dev/blog/llm-entropy.html Source: Hacker News Title: Entropy of a Large Language Model output Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text discusses the functionalities and implications of large language models (LLMs) like ChatGPT from an information theoretic perspective, particularly focusing on concepts such as token generation and entropy. This examination provides…

  • Hacker News: RWKV Language Model

    Source URL: https://www.rwkv.com/ Source: Hacker News Title: RWKV Language Model Feedly Summary: Comments AI Summary and Description: Yes Summary: The RWKV (RNN with LLM capabilities) presents a significant innovation in language model design by combining the advantages of recurrent neural networks (RNNs) and transformers. Its unique features, including linear time processing and lack of attention…

  • Slashdot: The ‘Godfather’ of AI is Backing Musk’s Lawsuit Against OpenAI

    Source URL: https://yro.slashdot.org/story/24/12/31/188209/the-godfather-of-ai-is-backing-musks-lawsuit-against-openai?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: The ‘Godfather’ of AI is Backing Musk’s Lawsuit Against OpenAI Feedly Summary: AI Summary and Description: Yes Summary: The text highlights Nobel laureate Geoffrey Hinton’s support for Elon Musk’s legal efforts against OpenAI, underscoring concerns about the company’s shift from a nonprofit to a for-profit model. Hinton emphasizes the…

  • Hacker News: Does current AI represent a dead end?

    Source URL: https://www.bcs.org/articles-opinion-and-research/does-current-ai-represent-a-dead-end/ Source: Hacker News Title: Does current AI represent a dead end? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text underscores the challenges and unmanageability of current AI systems, particularly those based on large neural networks like LLMs and generative AI. It highlights the ethical implications of data usage and…

  • Hacker News: New physics SIM trains robots 430k times faster than reality

    Source URL: https://arstechnica.com/information-technology/2024/12/new-physics-sim-trains-robots-430000-times-faster-than-reality/ Source: Hacker News Title: New physics SIM trains robots 430k times faster than reality Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents the launch of Genesis, an advanced open-source computer simulation system for robotics, which allows for immensely accelerated learning through simulated reality. It highlights the integration of…

  • Hacker News: No More Adam: Learning Rate Scaling at Initialization Is All You Need

    Source URL: https://arxiv.org/abs/2412.11768 Source: Hacker News Title: No More Adam: Learning Rate Scaling at Initialization Is All You Need Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a novel optimization technique called SGD-SaI that enhances the stochastic gradient descent (SGD) algorithm for training deep neural networks. This method simplifies the process…

  • Cloud Blog: Announcing the general availability of Trillium, our sixth-generation TPU

    Source URL: https://cloud.google.com/blog/products/compute/trillium-tpu-is-ga/ Source: Cloud Blog Title: Announcing the general availability of Trillium, our sixth-generation TPU Feedly Summary: The rise of large-scale AI models capable of processing diverse modalities like text and images presents a unique infrastructural challenge. These models require immense computational power and specialized hardware to efficiently handle training, fine-tuning, and inference. Over…

  • Slashdot: AI Boosts Materials Discovery By 44% at Major US Lab

    Source URL: https://slashdot.org/story/24/12/09/159202/ai-boosts-materials-discovery-by-44-at-major-us-lab?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Boosts Materials Discovery By 44% at Major US Lab Feedly Summary: AI Summary and Description: Yes Summary: A study highlights that AI-powered teams at a major U.S. materials company achieved significant innovations in material discovery and patent filings compared to traditional methods. However, it also raises concerns about…

  • Cloud Blog: Moloco: 10x faster model training times with TPUs on Google Kubernetes Engine

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/moloco-uses-gke-and-tpus-for-ml-workloads/ Source: Cloud Blog Title: Moloco: 10x faster model training times with TPUs on Google Kubernetes Engine Feedly Summary: In today’s congested digital landscape, businesses of all sizes face the challenge of optimizing their marketing budgets. They must find ways to stand out amid the bombardment of messages vying for potential customers’ attention.…