CybAI news - - Page 3257

24 May

The impact and challenges of generative AI in healthcare

stp2y0 CommentsAI

Generative AI is transforming multiple sectors, including healthcare, where its capabilities to synthesize and analyze vast data types are being leveraged by major tech companies and innovative startups.In a significant collaboration, Google Cloud is working with Highmark Health to create artificial intelligence tools aimed at improving patient intake processes. Amazon’s AWS is exploring the uses of generative AI for social health determinants analysis in medical databases. Microsoft Azure's collaboration with the Providence healthcare network focuses on AI systems that prioritize and manage patient communications automatically.The startup ecosystem is buzzing with activity around generative AI: Ambience Healthcare is developing an app…

24 May

Cohere launches open weights AI model Aya 23 with support for nearly two dozen languages

stp2y0 CommentsChat-GPT

Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here. Today, Cohere for AI (C4AI), the non-profit research arm of Canadian enterprise AI startup Cohere, announced the open weights release of Aya 23, a new family of state-of-the-art multilingual language models. Available in 8B and 35B parameter variants (parameters refer to the strength of connections between artificial neurons in an AI model, with more generally denoting a more powerful and capable model).…

24 May

Robots’ and prosthetic hands’ sense of touch could be as fast as humans

stp2y0 CommentsGenAIDisability; Diseases and Conditions; Human Biology; Engineering; Robotics Research; Technology; Artificial Intelligence; Neural Interfaces; Robotics

Research at Uppsala University and Karolinska Institutet could pave the way for a prosthetic hand and robot to be able to feel touch like a human hand. Their study has been published in the journal Science. The technology could also be used to help restore lost functionality to patients after a stroke. "Our system can determine what type of object it encounters as fast as a blindfolded person, just by feeling it and deciding whether it is a tennis ball or an apple, for example," says Zhibin Zhang, docent at the Department of Electrical Engineering at Uppsala University. He and…

24 May

VCs Have Mostly Shut The Door On Smart Homes

stp2y0 CommentsRAG models

Startup investors have not done especially well betting on smart homes. Over the years, a growing number of well-funded companies have folded or failed to thrive betting on adoption of connected-home technologies such as smart windows, lighting, security systems and kitchens. And the misses continue. Earlier this month, smart-home upstart Brilliant disclosed that it laid off its entire staff while it seeks a buyer. Founded in 2015, the San Mateo, California-based company had raised $64 million in venture funding to scale an in-wall control system for lighting, doorbells, locks, cameras and other home systems. A month earlier, View, a maker…

24 May

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

stp2y0 CommentsViral News

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

stp2y0 CommentsViral News

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…