CybAI news - - Page 2991

29 May

SpiNNaker-Based Supercomputer Launches in Dresden – EE Times

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//php echo do_shortcode('[responsivevoice_button voice="US English Male" buttontext="Listen to Post"]') ?> A new neuromorphic supercomputer is claiming the title of world’s biggest. University of Dresden spinout SpiNNcloud, formed to commercialize technology based on a second generation of Steve Furber’s SpiNNaker neuromorphic architecture, is now offering a five-billion neuron supercomputer in the cloud, as well as smaller commercial systems for on-prem use. Among the startup’s first customers are Sandia National Labs, Technische Universität München and Universität Göttingen. The first generation of the SpiNNaker architecture, an academic project led by Arm architecture co-inventor Steve Furber, was created 10 years ago and is used…

29 May

Even Google’s Own Researchers Admit AI Is Top Source of Misinformation Online

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AI is now the dominant source of image-based misinformation on the internet, a team of Google researchers determined in a recent paper. While the findings have yet to be peer-reviewed, they're as fascinating as they are alarming — and strike at the heart of one of the deepest tensions at the center of Silicon Valley's ongoing AI race."The prevalence and harms of online misinformation is a perennial concern for internet platforms, institutions and society at large," reads the paper. "The rise of generative AI-based tools, which provide widely-accessible methods for synthesizing realistic audio, images, video and human-like text, have amplified…

29 May

A faster, better way to prevent an AI chatbot from giving toxic responses

stp2y0 CommentsGenAIComputer Modeling; Mathematical Modeling; Mathematics; Artificial Intelligence; Computational Biology; Neural Interfaces; Hacking; Educational Technology

A user could ask ChatGPT to write a computer program or summarize an article, and the AI chatbot would likely be able to generate useful code or write a cogent synopsis. However, someone could also ask for instructions to build a bomb, and the chatbot might be able to provide those, too. To prevent this and other safety issues, companies that build large language models typically safeguard them using a process called red-teaming. Teams of human testers write prompts aimed at triggering unsafe or toxic text from the model being tested. These prompts are used to teach the chatbot to…

29 May

A Nonprofit Tried to Fix Tech Culture—but Lost Control of Its Own

stp2y0 CommentsRAG modelscontent moderation, facebook, google, meta, philanthropy, platforms, silicon valley, social media, startups

Allen, a data scientist, and Massachi, a software engineer, worked for nearly four years at Facebook on some of the uglier aspects of social media, combating scams and election meddling. They didn’t know each other but both quit in 2019, frustrated at feeling a lack of support from executives. “The work that teams like the one I was on, civic integrity, was being squandered,” Massachi said in a recent conference talk. “Worse than a crime, it was a mistake.”Massachi first conceived the idea of using expertise like that he’d developed at Facebook to drive greater public attention to the dangers…

29 May

Green AI in Action: Strategic Model Selection for Ensembles in Production

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arXiv:2405.17451v1 Announce Type: new Abstract: Integrating Artificial Intelligence (AI) into software systems has significantly enhanced their capabilities while escalating energy demands. Ensemble learning, combining predictions from multiple models to form a single prediction, intensifies this problem due to cumulative energy consumption. This paper presents a novel approach to model selection that addresses the challenge of balancing the accuracy of AI models with their energy consumption in a live AI ensemble system. We explore how reducing the number of models or improving the efficiency of model usage within an ensemble during inference can reduce energy demands without substantially sacrificing accuracy. This…

29 May

Enhance image search experiences with Amazon Personalize, Amazon OpenSearch Service, and Amazon Titan Multimodal Embeddings in Amazon Bedrock | Amazon Web Services

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A variety of different techniques have been used for returning images relevant to search queries. Historically, the idea of creating a joint embedding space to facilitate image captioning or text-to-image search has been of interest to machine learning (ML) practitioners and businesses for quite a while. Contrastive Language–Image Pre-training (CLIP) and Bootstrapping Language-Image Pre-training (BLIP) were the first two open source models that achieved near-human results on the task. More recently, however, there has been a trend to use the same techniques used to train powerful generative models to create multimodal models that map text and images to the same…

29 May

AI is transforming global power structures – is Europe being left behind?

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The race for dominance of the artificial intelligence (AI) industry is redefining the global geopolitical order. Whoever can master this rapidly changing technology will have an unprecedented level of economic control, and will govern new employment on a vast scale. According to many economists, we are currently in the midst of the “fourth industrial revolution”. In this power struggle, the leading powers are the USA, the Asia-Pacific region (especially China) and the European Union (EU). However, each is following a different model for developing this technology. China: the highest number of STEM graduates in the world China is the country…

29 May

I spent thousands renovating my kitchen and went over budget — but there are still 3 things I wish I’d done differently

stp2y0 CommentsRAG models

My partner and I decided to renovate our kitchen last January. We had a baby due in June, so we needed to get it done fairly quickly.And with the average kitchen remodel costing about $45,000, we also wanted to make sure we were getting our money's worth by creating a space we were really happy with. After picking a company to work with and going through a design consultation, we were all hands on deck and ready.However, during the renovation, we eventually went over budget and realized we should have done a few things differently.Skipping cabinet handles hasn't been worth…

29 May

Image Based Character Recognition, Documentation System To Decode Inscription From Temple

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arXiv:2405.17449v1 Announce Type: new Abstract: This project undertakes the training and analysis of optical character recognition OCR methods applied to 10th century ancient Tamil inscriptions discovered on the walls of the Brihadeeswarar Temple.The chosen OCR methods include Tesseract,a widely used OCR engine,using modern ICR techniques to pre process the raw data and a box editing software to finetune our model.The analysis with Tesseract aims to evaluate their effectiveness in accurately deciphering the nuances of the ancient Tamil characters.The performance of our model for the dataset are determined by their accuracy rate where the evaluated dataset divided into training set and…

29 May

Mistral announces Codestral, its first programming focused AI model

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Time's almost up! There's only one week left to request an invite to The AI Impact Tour on June 5th. Don't miss out on this incredible opportunity to explore various methods for auditing AI models. Find out how you can attend here. Today, Paris-based Mistral, the AI startup that raised Europe’s largest-ever seed round a year ago and has since become a rising star in the global AI domain, marked its entry into the programming and development space with the launch of Codestral, its first-ever code-centric large language model (LLM). Available today under a non-commercial license, Codestral is a 22B…