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As AI continues to evolve, its potential to tackle increasingly complex and critical challenges grows. To power these advanced capabilities, OpenAI has launched ChatGPT Pro, a premium plan priced at $200 per month. Designed for researchers, engineers, and professionals who rely on research-grade intelligence daily, this plan offers unlimited access to OpenAI’s most powerful models and tools. […] The post ChatGPT Pro: Is This $200 Plan the Ultimate AI Power Move?
In this contributed article, Dr. Stefan Leichenauer, Vice President of Engineering and lead scientist at SandboxAQ, discusses the profound evolution that is now emerging: Large Quantitative Models (LQMs), designed to tackle complex real-world problems in areas such as healthcare, climate science, and materials design, are set to revolutionize industries and unlock new AI-powered breakthroughs for some of the world’s greatest challenges.
In 2025, data isn’t just king—it’s the whole empire. The global data analytics market is projected to grow to $279.31 billion by 2030, with a remarkable 27.3% CAGR. This rapid growth means the demand for skilled data analysts is skyrocketing. To stand out in this fast-evolving field, you need more than just basic knowledge – […] The post Data Analyst Learning Path 2025 appeared first on Analytics Vidhya.
Dow Jones futures rose modestly Wednesday morning, with significant gains from key tech stocks following strong earnings releases. Salesforce reported better-than-expected quarterly results, while Nvidia also indicated potential upward movement. Meta Platforms, among other AI stocks, showcased considerable strength. Dow Jones futures rise as tech stocks surge The stock market displayed positive momentum, highlighted by growing futures: Dow Jones futures increased by 0.4%, S&P 500 futures ros
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.
On the 1st day of the 12 Days series, OpenAI released exciting updates that promise to shape the future of AI interactions. The much-anticipated launch of OpenAI o1 marks a significant evolution in the ChatGPT experience, signalling the start of a new era for AI-driven applications. Available now to Plus and Team users, o1 moves […] The post OpenAI o1 is Out: The Most Advanced Model is Available to USE!
As we approach the end of 2024, First Opinion is publishing a series of essays on the state of AI in medicine and biopharma. Get a group of primary care physicians together, and there’s a pretty good chance they will start talking about the potential of AI scribes to reduce documentation burden and improve the clinician-patient office interaction.
In the recent re:Invent 2024 event, Amazon released its most advanced Nova foundation models, built to enhance AI and content creation. In this article, I’ll discuss Nova’s architecture, highlighting its powerful capabilities, and then put it to the test to share my hands-on experience with this innovative technology. What are Amazon Nova Foundational Models?
In the recent re:Invent 2024 event, Amazon released its most advanced Nova foundation models, built to enhance AI and content creation. In this article, I’ll discuss Nova’s architecture, highlighting its powerful capabilities, and then put it to the test to share my hands-on experience with this innovative technology. What are Amazon Nova Foundational Models?
As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society. This belief is at the heart of our long-standing commitment to building and using AI responsibly.
At Databricks, AutoML is our low-code/no-code model training API that empowers customers to create quality machine learning (ML) models with their data on.
Today, organizations are constantly seeking ways to use advanced large language models (LLMs) for their specific needs. These organizations are engaging in both pre-training and fine-tuning massive LLMs, with parameter counts in the billions. This process aims to enhance model efficacy for a wide array of applications across diverse sectors, including healthcare, financial services, and marketing.
Amazon Nova, developed by AWS, offers a versatile suite of foundation models tailored for diverse use cases like generative AI, machine learning, and more. In this article, I will guide you through the process of accessing Nova in AWS, starting from determining whether you already have an AWS account to access the different Nova models […] The post How to Access Amazon Nova in AWS?
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.
Explore PaliGemma 2, which offers scalable performance with multiple model sizes and resolutions, and is designed as a drop-in replacement for existing PaliGemma users.
The price of Bitcoin has reached $100,000 for the first time in history, capping a year of massive growth and adoption for the world’s first cryptocurrency.
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
The startup’s ‘12 days of ship-mas’ have kicked off. OpenAI is creating a new, more expensive tier for its flagship chatbot ChatGPT, and is bringing its “reasoning” model series out of preview with an update.
A federal judge rejected Boeing Co.’s plea deal that sought to let the planemaker avoid criminal prosecution over to two fatal 737 Max crashes, in a surprise twist that threatens to prolong the company’s recovery from past scandals.
Key Takeaways: Data enrichment is the process of appending your first-party data with contextually rich third-party data, enabling you to make more data-driven decisions. Traditionally, data enrichment can be lengthy and expensive, but implementing best practices for evaluating datasets and working with a data provider that offers data delivery options fit for your needs can accelerate time to value while reducing costs.
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.
OpenAI just unveiled a new subscription tier called ChatGPT Pro. Users can pay $200 a month for almost unlimited access to ChatGPTs tools, and an exclusive new AI model.
This is probably the correct conclusion to arrive at, at least at this point in extremely limited jurisprudence, but it still raises some questions courts will likely have to confront in the future.
Google Deepmind researchers have built an AI weather forecasting tool that makes faster and more accurate predictions than the best system available today.
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
will.i.am doesnt think true artists should worry about artificial intelligence. "The only thing to be worried about is if you're making music to chase an algorithm," he told Fox News Digital. "If you're making music to trend on TikTok.
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.
Defense technology firm Anduril Industries announced this week it will partner with ChatGPT-maker OpenAI to use the company’s artificial intelligence …
Your official U.S. government weather forecasts, warnings, meteorological products for forecasting the weather, tsunami hazards, and information about seismology.
The network that connects the world still relies on surprisingly thin wires that run miles down on the ocean floor. Sometimes those wires break. For The New York Times, James Glanz, Elian Peltier, and Pablo Robles show the repair process and what happens when the internet doesn’t work.
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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