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Google has launched Gemma 3, the latest version of its family of open AI models that aim to set a new benchmark for AI accessibility. Built upon the foundations of the companys Gemini 2.0 models, Gemma 3 is engineered to be lightweight, portable, and adaptableenabling developers to create AI applications across a wide range of devices. This release comes hot on the heels of Gemmas first birthday, an anniversary underscored by impressive adoption metrics.
If 2022 was the year that generative AI captured a wider public's imagination, 2025 is the year where the new breed of generative video frameworks coming from China seems set to do the same. Tencent's Hunyuan Video has made a major impact on the hobbyist AI community with its open-source release of a full-world video diffusion model that users can tailor to their needs.
Moores Law was the gold standard for predicting technological progress for years. Introduced by Gordon Moore, co-founder of Intel, in 1965, it stated that the number of transistors on a chip would double every two years, making computers faster, smaller, and cheaper over time. This steady advancement fuelled everything from personal computers and smartphones to the rise of the internet.
The way we interact with our computers and smart devices is very different from previous years. Over the decades, human-computer interfaces have transformed, progressing from simple cardboard punch cards to keyboards and mice, and now extended reality-based AI agents that can converse with us in the same way as we do with friends. With each advance in human-computer interfaces, we’re getting closer to achieving the goal of interactions with machines, making computers more accessible and in
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 Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
Vibe coding is reshaping the world of software development by letting us create applications using natural language instead of endless lines of code. Inspired by visionaries like Andrej Karpathy, this innovative approach lets developers simply speak or type their ideas, while AI tools, such as Cursor AI, handle the heavy lifting. Cursor AI is a […] The post I Tried Vibe Coding with Cursor AI and Its Amazing!
The AI industry has a new buzzword: "PhD-level AI." According to a report from The Information, OpenAI may be planning to launch several specialized AI "agent" products including a $20,000 monthly tier focused on supporting "PhD-level research." Other reportedly planned agents include a "high-income knowledge worker" assistant at $2,000 monthly and a software developer agent at $10,000 monthly.
The AI industry has a new buzzword: "PhD-level AI." According to a report from The Information, OpenAI may be planning to launch several specialized AI "agent" products including a $20,000 monthly tier focused on supporting "PhD-level research." Other reportedly planned agents include a "high-income knowledge worker" assistant at $2,000 monthly and a software developer agent at $10,000 monthly.
I’ve had several conversations about using LLMs over the past few weeks where the people I talked to had little idea of what LLMs could and could not do, and how LLMs could and could not help them. Which is worrying, because if we want AI to actually help people, them the people being helped need to understand what to use AI for! A few examples: A student was trying to use obscure software library, could not not find info.
Microsoft CEO Satya Nadella recently sparked debate by suggesting that advanced AI models are on the path to commoditization. On a podcast, Nadella observed that foundational models are becoming increasingly similar and widely available, to the point where models by themselves are not sufficient for a lasting competitive edge. He pointed out that OpenAI despite its cutting-edge neural networks is not a model company; its a product company that happens to have fantastic models , underscoring th
China is rapidly advancing in AI, releasing models like DeepSeek and Qwen to rival global giants. DeepSeek has gained widespread recognition, comparable to ChatGPT, while Qwen is making strides with its versatile chatbot, offering vision, reasoning, and coding capabilities in one interface. QwQ 32B is Qwen’s latest reasoning model. It is a medium-sized model, competes […] The post Qwens QwQ-32B: Small Model with Huge Potential appeared first on Analytics Vidhya.
On Saturday, a developer using Cursor AI for a racing game project hit an unexpected roadblock when the programming assistant abruptly refused to continue generating code, instead offering some unsolicited career advice. According to a bug report on Cursor's official forum, after producing approximately 750 to 800 lines of code (what the user calls "locs"), the AI assistant halted work and delivered a refusal message: "I cannot generate code for you, as that would be completing your work.
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.
Today, were announcing the general availability (GA) of multi-agent collaboration on Amazon Bedrock. This capability allows developers to build, deploy, and manage networks of AI agents that work together to execute complex, multi-step workflows efficiently. Since its preview launch at re:Invent 2024, organizations across industriesincluding financial services, healthcare, supply chain and logistics, manufacturing, and customer supporthave used multi-agent collaboration to orchestrate specialize
Having worked with AI since 2018, Im watching its slow but steady pick-up alongside the unstructured bandwagon-jumping with considerable interest. Now that the initial fear has subsided somewhat about a robotic takeover, discussion about the ethics that will surround the integration of AI into everyday business structures has taken its place. A whole new range of roles will be required to handle ethics, governance and compliance, all of which are going to gain enormous value and importance to or
The change from traditional retrieval-augmented generation to Graph RAG proves an interesting shift in machines’ understanding and processing of knowledge, and this study considers both architectures in their differences, applications, and further trajectories. The present organization and access of information will tell whether the AI merely has an answer or actually understands the question in […] The post Traditional RAG to Graph RAG: The Evolution of Knowledge Retrieval Systems i
Enjoy the laptop lifestyle while it lasts, folks. | Smith Collection/Gado/Getty Images My entire job takes place on my laptop. I write stories like this in Google Docs on my laptop. I coordinate with my editor in Slack on my laptop. I reach out to sources with Gmail and then interview them over Zoom, on my laptop. This isnt true of all journalists some go to war zones but its true of many of us, and for accountants, tax preparers, software engineers, and many more workers, maybe over one in 10
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
A new AI education initiative in the State of Utah, developed in collaboration with NVIDIA, is set to advance the states commitment to workforce training and economic growth. The public-private partnership aims to equip universities, community colleges and adult education programs across Utah with the resources to develop skills in generative AI. AI will continue to grow in importance, affecting every sector of Utahs economy, said Spencer Cox, governor of Utah.
Fraud and cybersecurity threats are escalating at an alarming rate. Businesses lose an estimated 5% of their annual revenue to fraud. The digital transformation of financial services, e-commerce, and enterprise security has created new vulnerabilities that cybercriminals exploit with increasing sophistication. Traditional security measures, which rely on static rule-based systems, often fail to keep up with rapidly evolving fraud tactics.
ServiceNow has launched its Yokohama platform which introduces AI agents across various sectors to boost workflows and maximise end-to-end business impact. The Yokohama platform release features teams of preconfigured AI agents designed to deliver immediate productivity gains. These agents operate on a single, unified platform, ensuring seamless integration and coordination across different business functions.
Wondering what all the buzz is about? Or maybe youre asking yourself: Is this the right career move for me? Generative AI is taking the world by storm, and with it comes a gold rush for talent. From generating images to powering chatbots that sound eerily human, professionals in this field are in high demand […] The post Generative AI Salary Trends 2025 Edition appeared first on Analytics Vidhya.
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.
Authors think that Meta's admitted torrenting of a pirated books data set used to train its AI models is evidence enough to win their copyright fightwhich previously hinged on a court ruling that AI training on copyrighted works isn't fair use. Moving for summary judgment on a direct copyright infringement claim on Monday in a US district court in California, the authors alleged that "whatever the merits of generative artificial intelligence, or GenAI, stealing copyrighted works off the Internet
Today, Amazon Web Services (AWS) announced the general availability of Amazon Bedrock Knowledge Bases GraphRAG (GraphRAG), a capability in Amazon Bedrock Knowledge Bases that enhances Retrieval-Augmented Generation (RAG) with graph data in Amazon Neptune Analytics. This capability enhances responses from generative AI applications by automatically creating embeddings for semantic search and generating a graph of the entities and relationships extracted from ingested documents.
For years, search engines and databases relied on essential keyword matching, often leading to fragmented and context-lacking results. The introduction of generative AI and the emergence of Retrieval-Augmented Generation (RAG) have transformed traditional information retrieval, enabling AI to extract relevant data from vast sources and generate structured, coherent responses.
Author(s): MicroBioscopicData (by Alexandros Athanasopoulos) Originally published on Towards AI. Welcome back to the second tutorial in our series, Nuclei Detection and Fluorescence Quantification in Python. In this tutorial, we will focus on measuring the fluorescence intensity from the GFP channel, extracting relevant data, and performing a detailed analysis to derive meaningful biological insights.
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.
In a significant step toward empowering developers and enterprises to create more reliable and capable AI agents, OpenAI released the Agent SDK on March 11, 2025, alongside a suite of impactful API updates. This release introduces several powerful tools designed to enhance AI-driven applications, including the Responses API, built-in tools, OpenAI Agents SDK, and observability […] The post New Tools for Building AI Agents: OpenAI Agent SDK, Response API and More appeared first on Analytics
Anthropic CEO Dario Amodei raised a few eyebrows on Monday after suggesting that advanced AI models might someday be provided with the ability to push a "button" to quit tasks they might find unpleasant. Amodei made the provocative remarks during an interview at the Council on Foreign Relations, acknowledging that the idea "sounds crazy." "So this isthis is another one of those topics thats going to make me sound completely insane," Amodei said during the interview.
Compelling AI-generated images start with well-crafted prompts. In this follow-up to our Amazon Nova Canvas Prompt Engineering Guide , we showcase a curated gallery of visuals generated by Nova Canvascategorized by real-world use casesfrom marketing and product visualization to concept art and design exploration. Each image is paired with the prompt and parameters that generated it, providing a practical starting point for your own AI-driven creativity.
Artificial intelligence (AI) can process hundreds of documents in seconds, identify imperceptible patterns in vast datasets and provide in-depth answers to virtually any question. It has the potential to solve common problems, increase efficiency across multiple industries and even free up time for individuals to spend with their loved ones by delegating repetitive tasks to machines.
The guide for revolutionizing the customer experience and operational efficiency Explore how AI Agents are transforming customer service and delivering innovative solutions for your business now with our latest eBook. This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support.
Last Updated on March 10, 2025 by Editorial Team Author(s): MD Rafsun Sheikh Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Photo by Samule Sun on Unsplash Have you ever wished you could fit a big-brain AI model into a more compact setup something that doesnt require a colossal server farm or a bottomless wallet?
Have you been using ChatGPT these days? I am sure you are, but have you ever wondered whats the core of this technological innovation? Weve been living in what many call the Gen AI era all because of these Large Language Models. However, some tech leaders believe LLMs may be hitting a plateau. In response, […] The post The Rise of Large Concept Models: AI’s Next Evolutionary Step appeared first on Analytics Vidhya.
Put on your sturdiest boots, because the decades-long part of our internet journey over dry land is over. Now it's time to knuckle down and trudge through an endless bog of AI slop. That's because Google, our tech overlords whose search engine is basically the connective tissue of the entire surface web, has announced that it's going to expand its infamously terrible and ad-inundated AI Overviews feature the big unsolicited box that appears above real search results, presenting machine-generate
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