Tag: algorithm
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AWS News Blog: Introducing default data integrity protections for new objects in Amazon S3
Source URL: https://aws.amazon.com/blogs/aws/introducing-default-data-integrity-protections-for-new-objects-in-amazon-s3/ Source: AWS News Blog Title: Introducing default data integrity protections for new objects in Amazon S3 Feedly Summary: Amazon S3 updates the default behavior of object upload requests with new data integrity protections that build upon S3’s existing durability posture. AI Summary and Description: Yes Summary: The text details enhancements made to…
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Slashdot: ‘Yes, I am a Human’: Bot Detection Is No Longer Working
Source URL: https://tech.slashdot.org/story/24/12/20/2331225/yes-i-am-a-human-bot-detection-is-no-longer-working?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: ‘Yes, I am a Human’: Bot Detection Is No Longer Working Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the challenges posed by the rise of AI on traditional verification methods like CAPTCHA, highlighting their ineffectiveness against bots that can solve them quickly. The emergence of…
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Unit 42: Now You See Me, Now You Don’t: Using LLMs to Obfuscate Malicious JavaScript
Source URL: https://unit42.paloaltonetworks.com/?p=137970 Source: Unit 42 Title: Now You See Me, Now You Don’t: Using LLMs to Obfuscate Malicious JavaScript Feedly Summary: This article demonstrates how AI can be used to modify and help detect JavaScript malware. We boosted our detection rates 10% with retraining. The post Now You See Me, Now You Don’t: Using…
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AlgorithmWatch: Large language models continue to be unreliable concerning elections
Source URL: https://algorithmwatch.org/en/llms_state_elections/ Source: AlgorithmWatch Title: Large language models continue to be unreliable concerning elections Feedly Summary: Large language models continue to be unreliable for election information. Our research was able to substantially improve the reliability of safeguards in the Microsoft Copilot chatbot against election misinformation in German. However barriers to data access greatly restricted…
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Slashdot: Australia Moves To Drop Some Cryptography By 2030
Source URL: https://it.slashdot.org/story/24/12/18/173242/australia-moves-to-drop-some-cryptography-by-2030?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Australia Moves To Drop Some Cryptography By 2030 Feedly Summary: AI Summary and Description: Yes Summary: Australia’s chief cybersecurity agency, the Australian Signals Directorate (ASD), has recommended that local organizations cease the use of widely utilized cryptographic algorithms due to concerns over quantum computing threats, with an implementation deadline…
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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…
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The Register: Australia moves to drop some cryptography by 2030 – before quantum carves it up
Source URL: https://www.theregister.com/2024/12/17/australia_dropping_crypto_keys/ Source: The Register Title: Australia moves to drop some cryptography by 2030 – before quantum carves it up Feedly Summary: The likes of SHA-256, RSA, ECDSA and ECDH won’t be welcome in just five years Australia’s chief cyber security agency has decided local orgs should stop using the tech that forms the…
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Hacker News: New LLM optimization technique slashes memory costs up to 75%
Source URL: https://venturebeat.com/ai/new-llm-optimization-technique-slashes-memory-costs-up-to-75/ Source: Hacker News Title: New LLM optimization technique slashes memory costs up to 75% Feedly Summary: Comments AI Summary and Description: Yes Summary: Researchers at Sakana AI have developed a novel technique called “universal transformer memory” that enhances the efficiency of large language models (LLMs) by optimizing their memory usage. This innovation…