CybAI news - - Page 2379

24 May

Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation

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arXiv:2405.13075v1 Announce Type: new Abstract: Multivariant time series (MTS) data are usually incomplete in real scenarios, and imputing the incomplete MTS is practically important to facilitate various time series mining tasks. Recently, diffusion model-based MTS imputation methods have achieved promising results by utilizing CNN or attention mechanisms for temporal feature learning. However, it is hard to adaptively trade off the diverse effects of local and global temporal features by simply combining CNN and attention. To address this issue, we propose a Score-weighted Convolutional Diffusion Model (Score-CDM for short), whose backbone consists of a Score-weighted Convolution Module (SCM) and an Adaptive…

24 May

NATO Innovation Fund announces its new investment team

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The NATO Innovation Fund (NIF) has announced its new investment team with experience that spans AI, energy and climate, quantum, materials, space tech and semiconductors. These knowledge sets will be used to “identify cutting edge startups, support leading founders, and help bolster the defence, security and resilience of allied nations.” They join our founding team that have worked over the past 12 months to kickstart the fund’s investment activity, including Managing Partner Andrea Traversone, Kelly Chen, Patrick Schneider-Sikorsky, Thorsten Claus and Chris O’Connor. Senior Associate Ben Banforth was previously an Investment Manager at XTX Ventures, the venture arm of XTX…

24 May

Ten Noteworthy AI Research Papers of 2023

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This year has felt distinctly different. I've been working in, on, and with machine learning and AI for over a decade, yet I can't recall a time when these fields were as popular and rapidly evolving as they have been this year.To conclude an eventful 2023 in machine learning and AI research, I'm excited to share 10 noteworthy papers I've read this year. My personal focus has been more on large language models, so you'll find a heavier emphasis on large language model (LLM) papers than computer vision papers this year.I resisted labeling this article "Top AI Research Papers of…

24 May

IBM and Tech Mahindra launch trustworthy AI with watsonx

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Tech Mahindra, a global provider of technology consulting and digital solutions, has collaborated with IBM to help organisations sustainably accelerate generative AI use worldwide. This collaboration combines Tech Mahindra’s range of AI offerings, TechM amplifAI0->∞, and IBM’s watsonx AI and data platform with AI Assistants. Customers can now combine IBM watsonx’s capabilities with Tech Mahindra’s AI consulting and engineering skills to access a variety of new generative AI services, frameworks, and solution architectures. This enables the development of AI apps in which organisations can use their trusted data to automate processes. It also provides a basis for businesses to create trustworthy AI models, promotes explainability to help manage risk and bias,…

24 May

NieR: Normal-Based Lighting Scene Rendering

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arXiv:2405.13097v1 Announce Type: new Abstract: In real-world road scenes, diverse material properties lead to complex light reflection phenomena, making accurate color reproduction crucial for enhancing the realism and safety of simulated driving environments. However, existing methods often struggle to capture the full spectrum of lighting effects, particularly in dynamic scenarios where viewpoint changes induce significant material color variations. To address this challenge, we introduce NieR (Normal-Based Lighting Scene Rendering), a novel framework that takes into account the nuances of light reflection on diverse material surfaces, leading to more precise rendering. To simulate the lighting synthesis process, we present the LD…

24 May

New generative media models and tools, built with and for creators

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Responsible from design to deploymentWe’re mindful about not only advancing the state of the art, but doing so responsibly. So we’re taking measures to address the challenges raised by generative technologies and helping enable people and organizations to responsibly work with AI-generated content.For each of these technologies, we’ve been working with the creative community and other external stakeholders, gathering insights and listening to feedback to help us improve and deploy our technologies in safe and responsible ways.We’ve been conducting safety tests, applying filters, setting guardrails, and putting our safety teams at the center of development. Our teams are also pioneering…

24 May

Video Shows OpenAI Engineer Admitting It’s “Deeply Unfair” to “Build AI and Take Everyone’s Job Away”

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Thanks for your consideration.Empty SuitsIf there's one thing people fear about AI beyond a Terminator-style apocalypse, it's that the rise of these generative models — which were relentlessly trained on everyone's hard work without permission but with full impunity — is going to destroy their jobs.The question of job destruction is one that OpenAI engineers were asked about in a resurfaced interview spotlighted this week by The Atlantic. The people building these AI models do acknowledge that what they're doing is "unfair." But if the attempt was to seem more ethically conscious, the effect only amplifies their callousness."It's kind of…

24 May

Diff-in-Means Concept Editing is Worst-Case Optimal

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In our recent paper LEACE: Perfect linear concept erasure in closed form, we showed that in order to fully erase the linearly available information about a binary concept in a neural representation, it is both necessary and sufficient to neutralize the span of the difference-in-means direction between the two classes. Even more recently, Sam Marks and Max Tegmark showed that the behavior of transformers can be effectively manipulated by adding vectors in the span of the difference-in-means direction to the residual stream. In this post, we offer a theoretical explanation for these results by showing that interventions on the difference-in-means…

24 May

An Assessment of Model-On-Model Deception

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[Submitted on 10 May 2024] View a PDF of the paper titled An Assessment of Model-On-Model Deception, by Julius Heitkoetter and 2 other authors View PDF Abstract:The trustworthiness of highly capable language models is put at risk when they are able to produce deceptive outputs. Moreover, when models are vulnerable to deception it undermines reliability. In this paper, we introduce a method to investigate complex, model-on-model deceptive scenarios. We create a dataset of over 10,000 misleading explanations by asking Llama-2 7B, 13B, 70B, and GPT-3.5 to justify the wrong answer for questions in the MMLU. We find that, when models…

24 May

Microsoft releases Windows 11 24H2 to the Release Preview channel – gHacks Tech News

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Microsoft has released the upcoming 2024 feature update for Windows 11 to the Release Preview channel. The update is available for testing ahead of its final release later this year. The final version is expected to be released in September or October. It marks the start of Copilot+ PCs, which is a new PC class that is required to run most of the AI functions of the Windows 11 operating system. These PCs have new requirements, including a dedicated NPU chip. The early release is noteworthy for a number of reasons: Windows 11 version 24H2 can't be installed on devices…