Ars Technica and IBM host "Beyond the Buzz: An Infrastructure Future with GenAI" event in San Jose, discussing generative AI promises and challenges. Speakers address tech complexity, rapid evolution, infrastructure demands, security vulnerabilities, and environmental impacts.
Former OpenAI employee William Saunders warns that the company's shift to for-profit status may compromise safety. Concerns arise over potential stakeholder influence from Sam Altman in the restructured firm.
Northpower, a major infrastructure contractor in New Zealand, utilizes AI to prioritize public safety risks, reducing effort and carbon emissions. Facing challenges in inspecting power poles for safety, Northpower combines digital and scanned data to efficiently identify and address potential hazards.
Mark Zuckerberg embraces AI and imperial monomania, shedding old Caesar image. Zuckerberg declares no more apologies for Facebook's impact on elections and teen mental health at Meta Connect conference.
Amazon SageMaker Studio offers a unified interface for data scientists, ML engineers, and developers to build, train, and monitor ML models using Amazon S3 data. S3 Access Grants streamline data access management without the need for frequent IAM role updates, providing granular permissions at bucket, prefix, or object levels.
Child protection agency staffer referred to doll used for 'sexual purposes' as 'age-appropriate toy'. Victoria bans use of generative AI services after worker enters personal info into ChatGPT.
The Tor Project and Tails are merging to enhance online anonymity efforts. Tails will benefit from Tor's operational framework, allowing them to focus on improving their OS.
Article: "Logistic Regression with Batch SGD Training and Weight Decay Using C#". It explains how logistic regression is easy to implement, works well with small and large datasets, and provides highly interpretable results. The demo program uses stochastic gradient descent with batch training and weight decay for accurate predictions.
Master Marketing Mix Modeling (MMM) with pymc-marketing in this series covering model training, validation, and calibration. Explore Bayesian MMM and the advantages of using pymc-marketing over other open-source packages like Robyn and Meridian.
Tokenization is crucial in NLP to bridge human language and machine understanding, enabling computers to process text effectively. Large language models like ChatGPT and Claude use tokenization to convert text into numerical representations for meaningful outputs.
The AI version of Brian Sewell's review lacks his authentic voice, disappointing readers. Sewell's posh voice and unique style are sorely missed in the London Standard's attempt to recreate his writing.
Learn how to create a meal planner using ChatGPT in Python, simplifying meal decisions and grocery shopping. Utilize prompt engineering techniques to maximize ChatGPT's capabilities, making meal planning easier and more efficient.
MIT researchers have developed a quantum-based security protocol for cloud-based deep-learning models, ensuring data privacy without compromising accuracy. The protocol utilizes the no-cloning principle of quantum mechanics to prevent attackers from intercepting information, maintaining 96 percent accuracy in tests.
Beware of sharing posts denying Meta access to your data on Instagram and Facebook. Celebrities like James McAvoy and Tom Brady are among those spreading the message.
AI hosting platform Hugging Face hits 1 million AI model listings, offering customization for specialized tasks. CEO Delangue emphasizes the importance of tailored models for individual use-cases, highlighting the platform's versatility.