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Artificial intelligence is evolving rapidly, reshaping industries from healthcare to finance, and even creative arts. If you want to stay ahead of the curve, networking with top AI minds, exploring cutting-edge innovations, and attending AI conferences is a must. According to Statista, the AI industry is expected to grow at an annual rate of 27.67% , reaching a market size of US$826.70bn by 2030.
In recent years, graph neural network (GNN) based models showed promising results in simulating complex physical systems. However, training dedicated graph network simulator can be costly, as most models are confined to fully supervised training. Extensive data generated from traditional simulators is required to train the model. It remained unexplored how transfer learning could be applied to improve the model performance and training efficiency.
Experts warn that DeepSeek, a generative AI developed in China, has failed multiple security tests, raising concerns about the risks for users. The Silicon Valley security provider AppSOC discovered significant vulnerabilities, including the ability to jailbreak the AI and generate malware. Chinese AI DeepSeek fails security tests David Reid, a cybersecurity expert at Cedarville University, expressed alarm over the test results. “It failed a bunch of benchmarks where you could jailbreak it
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
In this post, we discuss what embeddings are, show how to practically use language embeddings, and explore how to use them to add functionality such as zero-shot classification and semantic search. We then use Amazon Bedrock and language embeddings to add these features to a really simple syndication (RSS) aggregator application. Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide
Here's how Dask applies the building blocks of sklearn to bring ML modeling workflows to the next level of scalability via high-performance parallel computing
Machines dont break down out of nowherethere are always signs. The problem? Humans arent always great at noticing them. Thats where Machine Predictive Maintenance comes in! This guide will take you through the exciting world of Machine Predictive Maintenance, using AWS and MLOps to ensure your equipment stays predictably reliable. Learning Objectives This article was […] The post Machine Predictive Maintenance with MLOps – Deployed on AWS appeared first on Analytics Vidhya.
Machines dont break down out of nowherethere are always signs. The problem? Humans arent always great at noticing them. Thats where Machine Predictive Maintenance comes in! This guide will take you through the exciting world of Machine Predictive Maintenance, using AWS and MLOps to ensure your equipment stays predictably reliable. Learning Objectives This article was […] The post Machine Predictive Maintenance with MLOps – Deployed on AWS appeared first on Analytics Vidhya.
Google Colab is a cloud-based Jupyter Notebook environment that allows you to write and execute Python code efficiently. It runs on cloud-based virtual machines, meaning users don’t need to configure local environments. This makes it an excellent choice for data science, machine learning, and general Python scripting. However, sometimes you may need to execute shell […] The post How to Access Terminal in Google Colab and Use LangChain with Ollama appeared first on Analytics Vidhya.
AI agents continue to gain momentum, as businesses use the power of generative AI to reinvent customer experiences and automate complex workflows. We are seeing Amazon Bedrock Agents applied in investment research, insurance claims processing, root cause analysis, advertising campaigns, and much more. Agents use the reasoning capability of foundation models (FMs) to break down user-requested tasks into multiple steps.
Chinese search engine leader Baidu announced on Thursday that its artificial intelligence chatbot, Ernie Bot, will be available free of charge starting April 1, attributing this decision to improved technology and reduced costs. The AI service will be accessible at no cost to all users on both desktop and mobile platforms, as stated in a WeChat post by the company.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Crafting the perfect resume is a tedious task – whether you’re a fresh graduate stepping into the job market, or a seasoned professional aiming for that next big career move. But what if you could have a personal resume reviewer at your fingertips – without spending any money on LinkedIn Premium or hiring a pricey […] The post Building a Resume Review Agent System with CrewAI appeared first on Analytics Vidhya.
Telegram has released updates featuring improved sticker search, video cover selection, and the ability to copy videos from specific timestamps. These enhancements come as the chat app became profitable last year. Telegram updates enhance sticker search The company initially introduced AI-powered sticker search in December, which was restricted to 40,000 stickers.
The Massachusetts Technology Collaboratives (MassTech) Innovation Institute announced the launch of theMassachusetts (MA) AI Models Innovation Challenge, a flagship initiative under the newly established Massachusetts AI (Artificial Intelligence) Hub.
Today, OpenAI announced o3-mini’s new image analysis capabilities and unveiled its roadmap for GPT-4.5 and GPT-5. While the hype is high for the upcoming GPT models, this article is going to focus on o3-minis new image analysis feature, comparing it with o1. We will first do an o3-mini vs o1 comparison based on their performances […] The post Is o3-mini Better Than o1 for Image Analysis?
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Artificial intelligence is getting better at understanding the world in three dimensions, but a new study suggests that many 3D Large Language Model (LLM) benchmarks might not actually be testing 3D capabilities at all. Instead, these evaluations may be falling victim to what researchers call the 2D-Cheating problemwhere AI models trained primarily on 2D images can outperform dedicated 3D models simply by rendering point clouds into images.
In a recent post on X, Sam Altman just revealed the roadmap for GPT-4.5 and GPT-5! The roadmap not only focuses on simplifying user experience through a unified system but also points to an ambitious future where GPT-5 could become a powerful “computer assistant” capable of handling complex research and specialized tasks. This transformation, starting […] The post Sam Altman Discloses GPT-5 Roadmap: Heres What to Expect!
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
High living costs paired with stagnant stipends are being blamed for a drop in PhD enrolments in several countries. High living costs paired with stagnant stipends are being blamed for a drop in PhD enrolments in several countries.
Hunting landscapes are changing rapidly, thanks to a wave of powerful technologies that merge artificial intelligence, data science, and cutting-edge hardware. While the core spirit of tracking and outsmarting game remains, gadgets such as smart scopes, drones, and remote sensors are making hunting more precise, efficient, and data-driven. These AI-powered tools help hunters streamline logistics, predict animal movement with greater accuracy, and adapt to environmental shifts in real time.
Quantum calculations amount to sophisticated estimates. But in 1931, Hans Bethe intuited precisely how a chain of particles would behave an insight that had far-reaching consequences.
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
When connecting external knowledge to large language models (LLMs), developers often grapple with integrating data from numerous sourcessome of it structured, much of it unstructuredwhile still returning fast and accurate information. This challenge is at the heart of retrieval-augmented generation (RAG), which offers a compelling way for LLMs to pull in domain-specific data on demand. […] The post Cognee + LlamaIndex: Building Powerful GraphRAG Pipelines appeared first on Analytics Vidhya
In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.
Back in the late 2000s, I was a major contributor to the Wii homebrew scene. At the time, I worked on software (people call them “jailbreaks” these days) to allow users to run their own unofficial apps on the Nintendo Wii. I was passionate about my work and the team I was part of (Team Twiizers, later fail0verflow). Despite that, I ended up burning out, primarily due to the very large fraction of entitled users.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
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