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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.
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.
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!
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.
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 Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
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
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
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
OpenAI has been a leading solutions provider in the GenAI space. From the legendary ChatGPT to Sora, it is a go-to platform for all the working professionals out there. With Qwen and Claude gaining popularity among developers, OpenAI is back again with its latest updates, empowering developers to create more reliable and capable AI agents. […] The post How to Use OpenAIs Responses API & Agent SDK?
Y ou’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every Wednesday. Patients prefer messages that are written by AI, but they like them less when they’re told the message was AI-drafted, says a new study that came out yesterday in JAMA Network Open.
Google has just launched its latest state-of-the-art lightweight language model, Gemma 3. The model looks promising, outperforming Metas Llama 3, DeepSeek-V3, and OpenAIs o3-mini in standard benchmark tests. While Google claims that its the worlds best single-accelerator model, lets see how well it actually performs against other popular models. In this Gemma 3 27B vs […] The post Gemma 3 vs DeepSeek-R1: Is Google’s New 27B Model a Tough Competition to the 671B Giant?
Concerns about AI replacing humans – especially in the workplace – are not new. Many AI skeptics point to signs of the transforming workforce as justification for their hesitations around AI, like the 40% of companies that plan to reduce their workforces as AI capabilities expand. Statistics like this arent cause for concern – they simply highlight the realities of where the modern workforce stands on AI.
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.
For the first two-and-a-half years of the generative AI revolution, the AI arms race has been waged between competing companies seeking to make bank from the promise and potential of the technology. But things are maturing in the AI worldand with it, theres another frontline for AI: the military. Scale AI, the company set up by Alexandr Wang, has been awarded what CNBC reports is a multimillion-dollar deal to help develop Thunderforge, which the U.S.
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.
Last Updated on March 12, 2025 by Editorial Team Author(s): Get The Gist Originally published on Towards AI. Plus: Microsoft Introduces Interactive Ads for Copilot Users This member-only story is on us. Upgrade to access all of Medium. Welcome to Get The Gist, where every weekday we share an easy-to-read summary of the latest and greatest developments in AI news, innovations, and trends all delivered in under 5 minutes!
In the field of artificial intelligence, two persistent challenges remain. Many advanced language models require significant computational resources, which limits their use by smaller organizations and individual developers. Additionally, even when these models are available, their latency and size often make them unsuitable for deployment on everyday devices such as laptops or smartphones.
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.
A silent land rush is underway AI giants like OpenAI and Meta are buying up real estate at an unprecedented scale. But why, and what does it mean for the future of property markets? For decades, real estate booms were driven by urban expansion, corporate offices and housing demand.
Last Updated on March 12, 2025 by Editorial Team Author(s): Ecem Karaman Originally published on Towards AI. 🔎 Decoding LLM Pipeline Step 1: Input Processing & Tokenization 🔹 From Raw Text to Model-Ready Input In my previous post, I laid out the 8-step LLM pipeline, decoding how large language models (LLMs) process language behind the scenes.
From video game developers to a nuclear power plant, companies across China are adopting DeepSeeks AI models to boost stock prices and flaunt their national pride.
As a machine learning (ML) practitioner, youve probably encountered the inevitable request: Can we do something with AI? This question, often posed by executives or business stakeholders , reflects both excitement and uncertainty about artificial intelligences potential. Stephanie Kirmer, Senior Machine Learning Engineer at DataGrail, addresses this challenge in her talk, Just Do Something with AI: Bridging the Business Communication Gap for ML Practitioners.
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
Author(s): Adarsh Menon Originally published on Towards AI. while learning about MCP, I was initially perplexed regarding its functionality; my confusion deepened while examining the architecture. When I say architecture is pretty complicated, I mean the following:- SOURCE: [link] Motivation By Anthropic : Models are only as good as the context provided to them So this blog seeks to simplify complex structures for anyone interested in learning about them.
Created Using Midjourney A new agentic framework just hit the open source AI market and it’s a cool one. Created as a collaboration between LangChain, LlamaIndex, Glean, Galileo and Cisco, AGNTCY shade some light into the future of agentic apps. The AGNTCY is an open-source collective focused on constructing the infrastructure for the Internet of Agents (IoA), envisioned as an open, interoperable network that facilitates collaboration between AI agents.
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.
We're not going to get a first look at iOS 19 until the June Worldwide Developers Conference, but as work picks up on the operating system at Apple's headquarters in Cupertino, California, rumors are starting to leak out.
With the rapid growth in the generation, storage, and sharing of data, ensuring its security has become both a necessity and a formidable challenge. Data breaches, cyberattacks, and insider threats are constant risks that require sophisticated solutions. This is where Data Security Platforms come into play, providing organisations with centralised tools and strategies to protect sensitive information and maintain compliance.
China's "DeepSeek moment" is likely to be good news in the global race to develop AI models, according to French power-equipment maker Schneider Electric.
The field of data science has evolved dramatically over the past several years, driven by technological breakthroughs, industry demands, and shifting priorities within the community. By analyzing conference session titles and abstracts from 2018 to 2024, we can trace the rise and fall of key trends that shaped the industry. This blog explores how different topics gained momentum, which areas declined, and what this tells us about the future of datascience. 1.
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.
Author(s): Saif Ali Kheraj Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. [link] Factories have their own way of talking. If youve ever been inside one, you might hear things like: OEE is dropping, the CNC lathe has spindle misalignment, and we need to adjust feed rates to reduce chatter! For most people (and most AI), this sounds like another language.
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