AI News

OCTOBER 14, 2024

When we talk about real-time data, what we refer to is information that becomes available as soon as it’s created and acquired. Rather than being stored, data is forwarded directly to an application as soon as it’s collected and is made immediately available – without any lag – to support live, in-the-moment decision-making. Real-time data is at work in virtually every aspect of our lives already, powering everything from bank transactions to GPS to emergency maps created when a disa

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Analytics Vidhya

OCTOBER 14, 2024

Introduction Today, we will discuss the first pattern in the series of agentic AI design patterns: The Reflection Pattern. The Reflection Pattern is a powerful approach in AI, particularly for large language models (LLMs), where an iterative process of generation and self-assessment improves the output quality. We can picture it as a course developer who […] The post What is Agentic AI Reflection Pattern?

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AI News

OCTOBER 14, 2024

Four major US firms have announced plans to invest a combined £6.3 billion in UK data infrastructure. The announcement, made during the International Investment Summit , was welcomed by Technology Secretary Peter Kyle as a “vote of confidence” in Britain’s approach to partnering with businesses to drive growth. CyrusOne, ServiceNow, CloudHQ, and CoreWeave have all committed to substantial investments, bringing the total investment in UK data centres to over £25 billion since t

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Analytics Vidhya

OCTOBER 14, 2024

Introduction In today’s digital world, Large Language Models (LLMs) are revolutionizing how we interact with information and services. LLMs are advanced AI systems designed to understand and generate human-like text based on vast amounts of data. They use deep learning techniques, particularly transformers, to perform various language tasks such as translation, text generation, and summarization. […] The post 12 Free And Paid LLMs for Your Daily Tasks appeared first on Analytics Vidh

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Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

AI

IBM Journey to AI blog

OCTOBER 14, 2024

Data’s the gas that makes the AI engines hum. And many companies aren’t taking full advantage of the treasure trove of unstructured data at their fingertips because they’re not sure how to fill the tank. That’s why businesses that have the tools to process unstructured data are catching investors’ attention. Just last month, Salesforce made a major acquisition to power its Agentforce platform—just one in a number of recent investments in unstructured data mana

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Unite.AI

OCTOBER 14, 2024

Skip Levens is a product leader and AI strategist at Quantum, a leader in data management solutions for AI and unstructured data. He is currently responsible for driving engagement, awareness, and growth for Quantum's end-to-end solutions. Throughout his career – which has included stops at organizations like Apple, Backblaze, Symply, and Active Storage – he has successfully led marketing and business development, evangelism, launched new products, built relationships with key stakeholders, and

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IBM Journey to AI blog

OCTOBER 14, 2024

In the rush to embrace generative AI, companies are stumbling upon an unexpected hurdle: soaring computing costs that threaten to derail innovation and business transformation efforts. Major AI players are feeling the economic pressure, too. OpenAI is reportedly experiencing explosive revenue growth, with monthly earnings hitting USD 300 million in August 2024.

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Unite.AI

OCTOBER 14, 2024

We live in a world where personalized consumer experiences are increasingly the norm. To think, a couple of decades ago, the only options at the coffee shop were cream and sugar or black. Nowadays, you assume you’ll be able to order your half-caff, no-foam, almond milk cappuccino with two pumps of sugar-free vanilla—anything less would seem outdated.

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AWS Machine Learning Blog

OCTOBER 14, 2024

With recent advances in large language models (LLMs), a wide array of businesses are building new chatbot applications, either to help their external customers or to support internal teams. For many of these use cases, businesses are building Retrieval Augmented Generation (RAG) style chat-based assistants, where a powerful LLM can reference company-specific documents to answer questions relevant to a particular business or use case.

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Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security and ethics risks before they become problems.

AI

Unite.AI

OCTOBER 14, 2024

OPINION Nobody in the fictional Star Wars universe takes AI seriously. In the historic human timeline of George Lucas's 47 year-old science-fantasy franchise, threats from singularities and machine learning consciousness are absent, and AI is confined to autonomous mobile robots ( ‘droids' ) – which are habitually dismissed by protagonists as mere ‘machines'.

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databricks

OCTOBER 14, 2024

Over the last few years, we've seen tremendous growth and adoption of Databricks SQL , our intelligent data warehouse purpose-built on the Data.

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Unite.AI

OCTOBER 14, 2024

Artificial Intelligence (AI) is transforming the way we create visuals. Text-to-image models make it incredibly easy to generate high-quality images from simple text descriptions. Industries like advertising, entertainment, art, and design already employ these models to explore new creative possibilities. As technology continues to evolve, the opportunities for content creation become even more vast, making the process faster and more imaginative.

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Extreme Tech

OCTOBER 14, 2024

It was released as a mandatory security patch, so it's theoretically leaving people at risk.

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Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

AI

Marktechpost

OCTOBER 14, 2024

Generative AI models, driven by Large Language Models (LLMs) or diffusion techniques, are revolutionizing creative domains like art and entertainment. These models can generate diverse content, including texts, images, videos, and audio. However, refining the quality of outputs requires additional inference methods during deployment, such as Classifier-Free Guidance (CFG).

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Artificial Lawyer

OCTOBER 14, 2024

Bloomberg Law is best known for its legal research and market information offerings, but it’s now embracing genAI to expand what its recently developed contract.

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Extreme Tech

OCTOBER 14, 2024

The company is expected to gain even more market share in 2025 thanks to blockbuster sales of its Blackwell architecture.

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Artificial Lawyer

OCTOBER 14, 2024

It’s conference season and Artificial Lawyer and its founder, er…me…Richard Tromans, are on tour this October and November. Here are some of the upcoming speaking.

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Speaker: Joe Stephens, J.D., Attorney and Law Professor

Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.

Marktechpost

OCTOBER 14, 2024

The challenge lies in automating computer tasks by replicating human-like interaction, which involves understanding varied user interfaces, adapting to new applications, and managing complex sequences of actions similar to how a human would perform them. Current solutions struggle with handling complex and varied interfaces, acquiring and updating domain-specific knowledge, and planning multi-step tasks that require precise sequences of actions.

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Extreme Tech

OCTOBER 14, 2024

Vast Space hopes Haven-2, which includes everything from laboratories to wood-paneled entertainment rooms, will succeed the ISS after it retires in 2030.

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Marktechpost

OCTOBER 14, 2024

The problem with efficiently linearizing large language models (LLMs) is multifaceted. The quadratic attention mechanism in traditional Transformer-based LLMs, while powerful, is computationally expensive and memory-intensive. Existing methods that try to linearize these models by replacing quadratic attention with subquadratic analogs face significant challenges: they often lead to degraded performance, incur high computational costs, and lack scalability.

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Extreme Tech

OCTOBER 14, 2024

NASA's Jim Free says Roscosmos has worked to patch the cracks and reduce air loss.

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Speaker: David Warren and Kevin O'Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

Marktechpost

OCTOBER 14, 2024

Current multimodal retrieval-augmented generation (RAG) benchmarks primarily focus on textual knowledge retrieval for question answering, which presents significant limitations. In many scenarios, retrieving visual information is more beneficial or easier than accessing textual data. Existing benchmarks fail to adequately account for these situations, hindering the development of large vision-language models (LVLMs) that need to utilize diverse types of information effectively.

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NVIDIA

OCTOBER 14, 2024

At the Adobe MAX creativity conference this week, Adobe announced updates to its Adobe Creative Cloud products, including Premiere Pro and After Effects , as well as to Substance 3D products and the Adobe video ecosystem. These apps are accelerated by NVIDIA RTX and GeForce RTX GPUs — in the cloud or running locally on RTX AI PCs and workstations. One of the most highly anticipated features is Generative Extend in Premiere Pro (beta), which uses generative AI to seamlessly add frames to the begi

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IBM Journey to AI blog

OCTOBER 14, 2024

OpenAI made history recently by securing a USD 6.6 billion investment to scale up its large language models—increasing their size, data volume and computational resources. Meanwhile, Anthropic’s CEO said his company already has USD 1 billion models in development, with USD 100 billion models coming soon. But as spending balloons, new research published in Nature suggests that LLMs may in fact become less reliable as they grow.

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Marktechpost

OCTOBER 14, 2024

Current text-to-image generation models face significant challenges with computational efficiency and refining image details, particularly at higher resolutions. Most diffusion models perform the generation process in a single stage, requiring each denoising step to be conducted on high-resolution images. This results in high computational costs and inefficiencies, making it difficult to produce fine details without excessive resource use.

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IBM Journey to AI blog

OCTOBER 14, 2024

OpenAI made history recently by securing a USD 6.6 billion investment to scale up its large language models—increasing their size, data volume and computational resources. Meanwhile, Anthropic’s CEO said his company already has USD 1 billion models in development, with USD 100 billion models coming soon. But as spending balloons, new research published in Nature suggests that LLMs may in fact become less reliable as they grow.

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Large Language Models LLM OpenAI ChatGPT 112

Extreme Tech

OCTOBER 14, 2024

It's the first bit of information about Arrow Lake we've seen that's not from Intel.

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Marktechpost

OCTOBER 14, 2024

Language models (LMs) are widely utilized across domains like mathematics, coding, and reasoning to handle complex tasks. These models rely on deep learning techniques to generate high-quality outputs, but their performance can vary significantly depending on the complexity of the input. While some queries are simple and require minimal computation, others are far more complex, requiring significant computational resources to achieve optimal results.

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