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Midjourney has announced the alpha release of its V7 image generation model for testing by the AI community. The new model packs improvements in text prompt understanding, image quality, and feature coherence. V7 is an amazing model. Its much smarter with text prompts, image prompts look fantastic, image quality is noticeably higher with beautiful textures, and bodies, hands, and objects of all kinds have significantly better coherence on all details, Midjourney explained.
Imagine a world where Artificial Intelligence (AI ) is not only driving cars or recognizing faces but also determining which government jobs are essential and which should be cut. This concept, once considered a distant possibility, is now being proposed by one of the most influential figures in technology, Elon Musk. Through his latest venture, the Department of Government Efficiency (DOGE) , Musk aims to revolutionize how the U.S. government operates by using AI to streamline federal operation
Imagine having a casual chat online, assuming you’re speaking to a real person. But what if its not? What if, behind the screen, its an AI model trained to sound human? In a recent 2025 study, researchers from UC San Diego found that large language models like GPT-4.5 could convincingly pass as human, sometimes more […] The post AI Passes the Turing Test: How Are LLMs Like GPT-4.5 Fooling Humans?
Why are AI chatbots so intelligentcapable of understanding complex ideas, crafting surprisingly good short stories, and intuitively grasping what users mean? The truth is, we dont fully know. Large language models think in ways that dont look very human. Their outputs are formed from billions of mathematical signals bouncing through layers of neural networks powered by computers of unprecedented power and speed, and most of that activity remains invisible or inscrutable to AI researchers.
Document-heavy workflows slow down productivity, bury institutional knowledge, and drain resources. But with the right AI implementation, these inefficiencies become opportunities for transformation. So how do you identify where to start and how to succeed? Learn how to develop a clear, practical roadmap for leveraging AI to streamline processes, automate knowledge work, and unlock real operational gains.
The Nintendo Switch 2, unveiled April 2, takes performance to the next level, powered by a custom NVIDIA processor featuring an NVIDIA GPU with dedicated RT Cores and Tensor Cores for stunning visuals and AI-driven enhancements. With 1,000 engineer-years of effort across every element from system and chip design to a custom GPU, APIs and world-class development tools the Nintendo Switch 2 brings major upgrades.
Research conducted by Vlerick Business School has discovered that in the area of AI financial planning, the technology consistently outperforms humans when allocating budgets with strategic guidelines in place. Businesses that use AI for budgeting processes experience substantial improvements in the accuracy and efficiency of budgeting plans compared to human decision-making.
Research conducted by Vlerick Business School has discovered that in the area of AI financial planning, the technology consistently outperforms humans when allocating budgets with strategic guidelines in place. Businesses that use AI for budgeting processes experience substantial improvements in the accuracy and efficiency of budgeting plans compared to human decision-making.
Large language models (LLMs) like Claude have changed the way we use technology. They power tools like chatbots, help write essays and even create poetry. But despite their amazing abilities, these models are still a mystery in many ways. People often call them a “black box” because we can see what they say but not how they figure it out.
Imagine you have a single photograph of a person and wish to see them come alive in a video, moving and expressing emotions naturally. ByteDance’s latest AI-powered model, DreamActor-M1, makes this possible by transforming static images into dynamic, realistic animations. This article explores how DreamActor-M1 works, its technical design, and the important ethical considerations that […] The post ByteDance’s DreamActor-M1 Turns Photos into Videos appeared first on Analytics Vi
It's a fact of life that automation can make us lazier. Usually, the tradeoffs are worth it. But it feels more pernicious with AI Chatbots, which offer to basically automate thinking itself. Th at's what Sam Schechner, a tech reporter for The Wall Street Journal , began to wise up to after developing a nasty ChatGPT habit. "Artificial intelligence was eating my brain," he wrote in a recent essay for the newspaper.
In the latest MLPerf Inference V5.0 benchmarks, which reflect some of the most challenging inference scenarios, the NVIDIA Blackwell platform set records and marked NVIDIAs first MLPerf submission using the NVIDIA GB200 NVL72 system, a rack-scale solution designed for AI reasoning. Delivering on the promise of cutting-edge AI takes a new kind of compute infrastructure, called AI factories.
Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
A new study from the AI Disclosures Project has raised questions about the data OpenAI uses to train its large language models (LLMs). The research indicates the GPT-4o model from OpenAI demonstrates a “strong recognition” of paywalled and copyrighted data from O’Reilly Media books. The AI Disclosures Project, led by technologist Tim O’Reilly and economist Ilan Strauss, aims to address the potentially harmful societal impacts of AI’s commercialisation by advocating
The greatest barrier to AI adoption isn't technologyit's education. While organizations scramble to implement the latest large language models (LLMs) and generative AI tools, a profound gap is emerging between our technological capabilities and our workforce's ability to effectively leverage them. This isn't just about technical training; it's about reimagining learning in the AI era.
RAG, or Retrieval-Augmented Generation, has received widespread acceptance when it comes to reducing model hallucinations and enhancing the domain-specific knowledge base of large language models (LLMs). Corroborating information produced by an LLM with external data sources has helped keep the model outputs fresh and authentic. However, recent findings in a RAG system have underscored the […] The post What is Bias in a RAG System?
Got the Receipts OpenAI's latest image-generating 4o model is surprisingly good at generating text inside images, a feat that had proved particularly difficult for its many predecessors. And that makes it a powerful tool for generating images of fraudulent documents, as users have found. Case in point, Menlo Ventures principal Deedy Das tweeted a photo of a fake receipt for a lavish meal at a real San Francisco steakhouse, as spotted by TechCrunch.
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
The future of robotics has advanced significantly. For many years, there have been expectations of human-like robots that can navigate our environments, perform complex tasks, and work alongside humans. Examples include robots conducting precise surgical procedures, building intricate structures, assisting in disaster response, and cooperating efficiently with humans in various settings such as factories, offices, and homes.
Ant Group is relying on Chinese-made semiconductors to train artificial intelligence models to reduce costs and lessen dependence on restricted US technology, according to people familiar with the matter. The Alibaba-owned company has used chips from domestic suppliers, including those tied to its parent, Alibaba , and Huawei Technologies to train large language models using the Mixture of Experts (MoE) method.
Have you ever stared at a massive document with the deadline looming and thought, Theres no way Im getting through all of this? Weve all been there, drowning in tabs, buried under PDFs, and juggling half-finished Google Docs. Whether you're a student piecing together a paper , a creator wrestling with research , or a professional trying to make sense of endless reports, the chaos is real.
March 2025 has been a pivotal month for Generative AI, with significant advancements propelling us closer to Artificial General Intelligence (AGI). From intelligent model releases like Gemini 2.5 Pro and ERNIE 4.5 to innovations in agentic AI with Manus AI, weve witnessed a rapid evolution in the AI landscape in the last month. All these […] The post March 2025 GenAI Launches: Are We on The Brink of AGI?
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
This post is co-authored with Joao Moura and Tony Kipkemboi from CrewAI. The enterprise AI landscape is undergoing a seismic shift as agentic systems transition from experimental tools to mission-critical business assets. In 2025, AI agents are expected to become integral to business operations, with Deloitte predicting that 25% of enterprises using generative AI will deploy AI agents, growing to 50% by 2027.
Enterprises increasingly adopt agentic frameworks to build intelligent systems capable of performing complex tasks by chaining tools, models, and memory components. However, as organizations build these systems across multiple frameworks, challenges arise regarding interoperability, observability, performance profiling, and workflow evaluation. Teams are often locked into particular frameworks, making it hard to scale or reuse agents and tools across different contexts.
Financial platforms today enable users to access almost every financial service or product online from the convenience of their homes. The fintech revolution has been gaining momentum over the years, helping companies provide robust services and solutions to customers without the limitation of geographical distances. While a lot of emerging technologies are playing a role in the evolution of the finance industry, the AI revolution is one of the most prominent.
The AI model market is growing quickly, with companies like Google , Meta , and OpenAI leading the way in developing new AI technologies. Googles Gemma 3 has recently gained attention as one of the most powerful AI models that can run on a single GPU, setting it apart from many other models that need much more computing power. This makes Gemma 3 appealing to many users, from small businesses to researchers.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
Building a RAG (Retrieval-Augmented Generation) application isnt just about plugging in a few toolsits about choosing the right stack that makes retrieval and generation not just possible but efficient and scalable. Lets say youre working on something like Smart Chat with PDFan AI app that lets users interact with PDFs conversationally. Its not as simple […] The post A Comprehensive Guide to RAG Developer Stack appeared first on Analytics Vidhya.
After The New York Times sued OpenAI in December 2023alleging that ChatGPT outputs violate copyrights by regurgitating news articlesthe ChatGPT maker tried and failed to argue that the claims were time-barred. According to OpenAI, the NYT should have known that ChatGPT was being trained on its articles and raised its lawsuit in 2020, partly because of the newspaper's own reporting.
Powered by metronome.com Welcome Interested in sponsorship opportunities? Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co In the News How the U.S. Public and AI Experts View AI The public and experts are far apart in their enthusiasm and predictions for AI. But they share similar views in wanting more personal control and worrying regulation will fall short pewresearch.org Sponsor The proven playbook for launching usage-based pricing Thinki
The EU AI Act, which came into effect on August 1, 2024, marks a turning point in the regulation of artificial intelligence. Aimed at governing the use and development of AI, it imposes rigorous standards for organisations operating within the EU or providing AI-driven products and services to its member states. Understanding and complying with the Act is essential for UK businesses seeking to compete in the European market.
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
Once upon a time, the tech clarion call was cellphones for everyone and indeed mobile communications have revolutionized business (and the world). Today, the equivalent of that call is to give everyone access to AI applications. But the real power of AI is in harnessing it for the specific needs of businesses and organizations. The path blazed by Chinese startup DeepSeek demonstrates how AI can indeed be harnessed by everyone, especially those with limited budgets, in order to meet their speci
Fine-tuning large language models is no small featit demands high-performance GPUs, vast computational resources, and often, a wallet-draining budget. But what if you could get the same powerful infrastructure for a fraction of the cost? Thats where affordable cloud platforms come in. Instead of paying premium rates on AWS, Google Cloud, or Azure, smart AI […] The post 5 Affordable Cloud Platforms for Fine-tuning LLMs appeared first on Analytics Vidhya.
What does it take to get OpenAI and Anthropictwo competitors in the AI assistant marketto get along? Despite a fundamental difference in direction that led Anthropic's founders to quit OpenAI in 2020 and later create the Claude AI assistant, a shared technical hurdle has now brought them together: How to easily connect their AI models to external data sources.
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