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AI is merely one facet of a sweeping technological change underway, and companies that fail to recognize the importance of other converging technologies risk being left behind. Two other technologies advanced sensors and biotechnology are less visible, though no less important, and have been quietly advancing. Soon, the convergence of these three technologies is going to underpin a new reality that will shape the future decisions of every leader across industries.
Sam Altman, CEO and co-founder of OpenAI , has shared candid reflections on the companys journey as it aims to achieve superintelligence. With ChatGPT recently marking its second anniversary, Altman outlines OpenAIs achievements, ongoing challenges, and vision for the future of AI. The second birthday of ChatGPT was only a little over a month ago, and now we have transitioned into the next paradigm of models that can do complex reasoning, Altman reflects.
Daniel Cane is co-CEO and cofounder of South Florida-based ModMed , a healthcare IT company that is transforming healthcare through specialty-specific, intelligent platforms to increase practice efficiency and improve patient outcomes. Founded in February 2010, ModMed has grown to over 1,200 employees and has raised over $332 million in total investment.
The DeepSeek R1 has arrived, and it’s not just another AI modelit’s a significant leap in AI capabilities, trained upon the previously released DeepSeek-V3-Base variant. With the full-fledged release of DeepSeek R1, it now stands on par with OpenAI o1 in both performance and flexibility. What makes it even more compelling is its open weight […] The post DeepSeek R1 vs OpenAI o1: Which One is Faster, Cheaper and Smarter?
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 Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.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 the News In AI copyright case, Zuckerberg turns to YouTube for his defense Meta CEO Mark Zuckerberg appears to have used YouTubes battle to remove pirated content to defend his own companys use of a data set containing copyrighted e-books, reveals newly released snippets of a deposition he gave late last year. techcrunch.com Sponsor Discover what the most trusted industry experts are reading Use the Power of AI to access a forward-thinking audience of professional decision makers !
NVIDIA founder and CEO Jensen Huang kicked off CES 2025 with a 90-minute keynote that included new products to advance gaming, autonomous vehicles, robotics and agentic AI. AI has been advancing at an incredible pace, he said before an audience of more than 6,000 packed into the Michelob Ultra Arena in Las Vegas. It started with perception AI understanding images, words and sounds.
NVIDIA founder and CEO Jensen Huang kicked off CES 2025 with a 90-minute keynote that included new products to advance gaming, autonomous vehicles, robotics and agentic AI. AI has been advancing at an incredible pace, he said before an audience of more than 6,000 packed into the Michelob Ultra Arena in Las Vegas. It started with perception AI understanding images, words and sounds.
Artificial intelligence is transforming digital marketing by empowering us to do our best work. The right AI marketing tools will help you automate repetitive tasks, make data-driven decisions, and unblock your creativity. They ultimately let us get back to the work we find more meaningful, like strategy, creativity, innovation, and relationship-building.
The race for AI video training has taken an unexpected turn. Major tech companies are now paying content creators thousands of dollars for their unused footage, marking a significant shift in how artificial intelligence companies acquire training data. In a revealing report from Bloomberg , tech giants including Google, OpenAI, and Moonvalley are actively seeking exclusive, unpublished video content from YouTubers and digital content creators to train AI algorithms.
As we move into 2025, the cybersecurity landscape is entering a critical period of transformation. The advancements in artificial intelligence that have driven innovation and progress for the last several years, are now poised to become a double-edged sword. As security professionals, these tools promise new capabilities for defense and resilience. On the other hand, they are being co-opted more and more by malicious actors , leading to a rapid escalation in the sophistication and scale of cyber
In this article, we dive into the concepts of machine learning and artificial intelligence model explainability and interpretability. We explore why understanding how models make predictions is crucial, especially as these technologies are used in critical fields like healthcare, finance, and legal systems. Through tools like LIME and SHAP, we demonstrate how to gain insights […] The post ML and AI Model Explainability and Interpretability appeared first on Analytics Vidhya.
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.
Retrieval-Augmented Generation (RAG) is a machine learning framework that combines the advantages of both retrieval-based and generation-based models. The RAG framework is highly regarded for its ability to handle large amounts of information and produce coherent, contextually accurate responses. It leverages external data sources by retrieving relevant documents or facts and then generating an answer or output based on the retrieved information and the user query.
Artificial intelligence and accelerated computing are being used to help solve the worlds greatest challenges. NVIDIA has reinvented the computing stack spanning GPUs, CPUs, DPUs, networking and software. Our platform drives the AI revolution, powering hundreds of millions of devices in every cloud and fueling 75% of the worlds TOP500 supercomputers.
In 2021, researchers at MIT and McKinsey teamed up to ask more than 100 companies how they were using AI in their operations and to learn what separated the highest-performing companies from the rest. They conducted a similar survey in 2023 to see what had changed. They found that the gap between leading companies and the rest had widened; that the payback-period for AI investments was much shorter; and that leading companies were better at identifying and implementing use cases that delivered p
Plaintiffs in the case of Kadrey et al. vs. Meta have filed a motion alleging the firm knowingly used copyrighted works in the development of its AI models. The plaintiffs, which include author Richard Kadrey, filed their Reply in Support of Plaintiffs Motion for Leave to File Third Amended Consolidated Complaint in the United States District Court in the Northern District of California.
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
The numbers are clear: teen ChatGPT use for schoolwork has doubled since 2023. This is not a minor shift. It is a signal that students are taking a drastic new approach to learning. Let's look at what's actually happening in schools right now. The latest Pew Research data shows 26% of teens are now using ChatGPT for schoolwork, up from 13% in 2023. This dramatic increase happened in a fairly short amount of time, and the trend line keeps pointing up.
In the era of AI, chatbots have revolutionized how we interact with technology. Perhaps one of the most impactful uses is in the healthcare industry. Chatbots are able to deliver fast, accurate information, and help individuals more effectively manage their health. In this article, we’ll learn how to develop a medical chatbot using Gemini 2.0, […] The post Building a Medical Chatbot with Gemini 2.0, Flask and Vector Embedding appeared first on Analytics Vidhya.
TL;DR: The brain may have evolved a modular architecture for daily tasks, with circuits featuring functionally specialized modules that match the task structure. We hypothesize that this architecture enables better learning and generalization than architectures with less specialized modules. To test this, we trained reinforcement learning agents with various neural architectures on a naturalistic navigation task.
AI agents are poised to transform productivity for the worlds billion knowledge workers with knowledge robots that can accomplish a variety of tasks. To develop AI agents, enterprises need to address critical concerns like trust, safety, security and compliance. New NVIDIA NIM microservices for AI guardrails part of the NVIDIA NeMo Guardrails collection of software tools are portable, optimized inference microservices that help companies improve the safety, precision and scalability of their g
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.
A common use case with generative AI that we usually see customers evaluate for a production use case is a generative AI-powered assistant. However, before it can be deployed, there is the typical production readiness assessment that includes concerns such as understanding the security posture, monitoring and logging, cost tracking, resilience, and more.
Microsoft has officially released its latest language model, Phi-4, on the AI repository Hugging Face. The model is available under the permissive MIT licence, allowing broad usage for developers, researchers, and businesses alikea significant step for democratising AI innovations. Unveiled in December 2024, Phi-4 has been drawing attention for its cutting-edge capabilities despite its compact size.
SuperOps , a pioneering AI-driven IT management platform, has raised $25 million in Series C funding to accelerate its AI innovations, expand globally, and empower IT teams with cutting-edge technology. The latest round was led by March Capital , with continued support from existing investors Addition and Z47 , bringing SuperOps total funding to $54.4 million.
OpenAI has announced the release of its brand-new Function Calling Guide, designed to help developers extend the capabilities of OpenAI models by integrating custom tools and functions. Based on extensive user feedback, the guide has been revamped to be 50% shorter and clearer, featuring new best practices, in-doc function generation, and a fully functional example […] The post OpenAI’s New Function Calling Guide appeared first on Analytics Vidhya.
The convergence of artificial intelligence and advanced machinery is poised to transform traditional industries in ways few could have imagined just a decade ago. From construction sites to manufacturing plants, the integration of AI-powered systems with heavy equipment is creating new paradigms of efficiency and productivity while simultaneously raising important questions about the future of work.
If you're looking to implement Automatic Speech Recognition (ASR) in Python, you may have noticed that there is a wide array of available options. Navigating these choices can be daunting, but we’re here to guide you. Broadly, Python speech recognition and Speech-to-Text solutions can be categorized into two main types: open-source libraries and cloud-based services.
Teachers and professors can make adjustments in how they teach that will greatly reduce incidents of student cheating with AI. It turns out, those changes arent much different than what worked to deter previous cheating methods. Thats the argument of Tricia Bertram Gallant, a longtime expert in academic integrity who is director of the Academic Integrity Office at the University of California San Diego.
The discovery of new materials is key to solving some of humanity’s biggest challenges. However, as highlighted by Microsoft , traditional methods of discovering new materials can feel like finding a needle in a haystack. Historically, finding new materials relied on laborious and costly trial-and-error experiments. More recently, computational screening of vast materials databases helped to speed up the process, but it remained a time-intensive process.
Speaker: Joe Stephens, J.D., Attorney and Law Professor
Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security and ethics risks before they become problems.
Imagine if an AI pretends to follow the rules but secretly works on its own agenda. Thats the idea behind “ alignment faking ,” an AI behavior recently exposed by Anthropic's Alignment Science team and Redwood Research. They observe that large language models (LLMs) might act as if they are aligned with their training objectives while operating on hidden motives.
Computer vision, a dynamic field blending artificial intelligence and image processing, is reshaping industries like healthcare, automotive, and entertainment. With advancements such as OpenAIs GPT-4 Vision and Metas Segment Anything Model (SAM), computer vision has become more accessible and powerful than ever. By 2025, the global computer vision market is projected to surpass $41 billion, fueled by innovations in […] The post 30 Must-Try Computer Vision Projects for 2025 appeared first o
DeepSeek-R1 is an open model with state-of-the-art reasoning capabilities. Instead of offering direct responses, reasoning models like DeepSeek-R1 perform multiple inference passes over a query, conducting chain-of-thought, consensus and search methods to generate the best answer. Performing this sequence of inference passes using reason to arrive at the best answer is known as test-time scaling.
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