CybAI news - - Page 3418

24 May

Avatier Identity & Access Management for IBM i Environments

stp2y0 CommentsAI

Avatier, a leading provider of identity management solutions, is proud to announce its integration with IBM Power Servers (formerly AS/400) to deliver a groundbreaking identity management experience for IBM i environments. This collaboration brings forth a new era of efficiency, security, and productivity, empowering organizations to streamline operations and optimize performance seamlessly. Avatier is announcing this at POWERUp 2024 Expo in Fort Worth, Texas this week. Avatier’s Identity Management Platform (Avatier Identity Anywhere) is tailored to support IBM i environments, providing comprehensive solutions that simplify operations, enhance security, and boost productivity. The integration offers a range of capabilities, including self-service password reset, user…

24 May

On the Societal Impact of Open Foundation Models

stp2y0 CommentsChat-GPT

This post is authored by Sayash Kapoor, Rishi Bommasani, Daniel E. Ho, Percy Liang, and Arvind Narayanan. The paper has 25 authors listed here.Last October, President Biden signed the Executive Order on Safe, Secure, and Trustworthy AI. It tasked the National Telecommunications and Information Administration (NTIA) with preparing a report on the benefits and risks of open foundation models—foundation models with widely available model weights (such as Meta's Llama 2 and Stability's Stable Diffusion). There is widespread disagreement about the impact of openness on society, which the NTIA must sort through. Last week, the NTIA released a list of over…

24 May

Same AI + Different Deployment Plans = Different Ethics

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This month I will address an aspect of the ethics of artificial intelligence (AI) and analytics that I think many people don't fully appreciate. Namely, the ethics of a given algorithm can vary based on the specific scope and context of the deployment being proposed. What is considered unethical within one scope and context might be perfectly fine in another. I'll illustrate with an example and then provide steps you can take to make sure your AI deployments stay ethical. Why Autonomous Cars Aren't Yet Ethical For Wide Deployment There are limited tests of fully autonomous, driverless cars happening around…

24 May

Ines Montani at QCon London: Economies of Scale Can’t Monopolise the AI Revolution

stp2y0 CommentsNewsai, ai revolution monopol, Architecture & Design, artificial intelligence, Automated Machine Learning, deep learning, development, generative ai, large language models, machine learning, ML & Data Engineering, QCon London 2024

During her presentation at QCon London, Ines Montani, co-founder and CEO of explosion.ai (the maker of spaCy), stated that economies of scale are not enough to create monopolies in the AI space and that open-source techniques and models will allow everybody to keep up with the "Gen AI revolution". Montani opened her presentation by asking for a show of hands to identify the open-source users in the audience. The vast majority of the audience raised their hand, easily demonstrating that open-source is ubiquitous ("it would be easier to ask who doesn’t use open-source’"). She pointed out the multiple benefits of the…

24 May

1000 AI-powered machines: Vision AI on an industrial scale

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This article is based on Bart Baekelandt’s brilliant talk at the Computer Vision Summit in London. Pro and Pro+ members can enjoy the complete recording here. For more exclusive content, head to your membership dashboard. Hi, I’m Bart Baekelandt, Head of Product Management at Robovision. Today, we’re going to talk about the lessons we’ve learned over the last 15 years of applying AI to robots and machines at scale in the real world. Robovision’s journey: From flawed to fantasticFirst, let's look at what these machines were like in the past.15 years ago, our machine was very basic with extremely rudimentary computer vision capabilities.…

24 May

Digital media partnership: MongoDB and Arc XP redefine storytelling – SiliconANGLE

stp2y0 CommentsChat-GPTBuilding tomorrow's digital media: MongoDB and Arc XP's journey into the future, Chad Wilson, SiliconANGLE

As MongoDB Inc. charts its course toward a $2 billion revenue milestone and a staggering $28 billion market cap, its journey intertwines with that of Arc XP, a division of The Washington Post. The Post is poised at the vanguard of digital media and high-volume storytelling solutions. “We have our suite of applications for very specific workflows, but everything speaks to each other’s, [it’s] completely integrated,” said Joey Marburger (pictured, right), director of product strategy and design at Arc XP. “When we’re working with customers and developing products internally, we don’t have to stop … we can start working on…

24 May

ChatGPT Gets an Upgrade With ‘Natively Multimodal’ GPT-4o

stp2y0 CommentsGenAI

OpenAI’s Spring Update livestream on May 13 brought three major announcements from the AI company: A new flagship AI model called GPT-4o. A desktop ChatGPT app for macOS. ChatGPT users who don’t pay for a subscription can now access more features for free. The coming changes to ChatGPT “brings GPT-4 level intelligence to everyone, including our free users,” said OpenAI Chief Technology Officer Mira Murati during the livestream. OpenAI CTO Mira Murati speaks in a livestream on May 13. Image: Screenshot by TechRepublic GPT-4o improves on GPT-4 Turbo’s voice and video capabilities Murati said OpenAI’s next flagship model GPT-4o is…

24 May

How Bain Capital Ventures Incubates AI

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Editor’s note: This article is part of an ongoing series in which Crunchbase News interviews active investors in artificial intelligence. Read previous interviews with Felicis, Battery Ventures, General Catalyst, Bessemer Venture Partners, Accel, Insight Partners, Index Ventures, Sequoia Capital, Section 32, M12 and Sapphire Ventures, as well as highlights from these stories from 2023. Bain Capital Ventures is investing out of its 10th flagship fund of $1.9 billion announced in February 2023 after the launch of ChatGPT, the technology that took generative AI mainstream. Despite the firm’s many decades in the investment business and its sizable funds — it has $10…

24 May

How Real-World Enterprises are Leveraging Generative AI

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Generative AI (GenAI) is moving incredibly fast. So much so, that in less than two years, GenAI has emerged as one of the most exciting and transformative technologies, empowering enterprises across diverse industries to drive innovation, enhance productivity, and deliver exceptional customer experiences. At Databricks, we've seen exponential growth in the demand and development of GenAI applications across our platform from every sector of industry, be that communications, energy, financial services, healthcare and life sciences, manufacturing, public sector, media and entertainment, or retail and consumer goods.As we approach Data + AI Summit, we'll be bringing together a global community to…

24 May

How to Generate and Use Synthetic Data for Finetuning

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It is increasingly viable to use synthetic data for pretraining, instruction-tuning, and preference-tuning. Synthetic data refers to data generated via a model or simulated environment, instead of naturally occurring on the internet or annotated by humans. Relative to human annotation, it’s faster and cheaper to generate task-specific synthetic data. Furthermore, the quality and diversity of synthetic data often exceeds that of human annotators, leading to improved performance and generalization when models are finetuned on synthetic data. Finally, synthetic data sidesteps privacy and copyright concerns by avoiding reliance on user data or possibly copyrighted content. There are two main approaches to…