This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
The market is booming with innovation and new AI projects. Its no surprise that businesses are rushing to use AI to stay ahead in the current fast-paced economy. However, this rapid AI adoption also presents a hidden challenge: the emergence of ‘ Shadow AI.' Heres what AI is doing in day-to-day life: Saving time by automating repetitive tasks.
As we step into 2025, generative AI (GenAI) is all set to redefine how we interact with technology. GenAI-powered products are blending creativity and intelligence in many different ways to make our lives easier and simpler. In the near future, we would wake up in the morning to find our virtual assistant not only organizing […] The post Top 5 GenAI Products to Use in 2025 appeared first on Analytics Vidhya.
This year, IEEE Spectrum readers had a keen interest in all things software: Whats going on in the tumultuous world of open-source, why the sheer size of code is causing security vulnerabilities, and how we need to take seriously the energy costs of inefficient code. The ever-growing presence of artificial intelligence also made itself known in the computing world, by introducing an LLM-powered Internet search tool, finding ways around AIs voracious data appetite in scientific applications, and
The emerging US-China Artificial General Intelligence (AGI) rivalry could face a major policy transformation, as the US-China Economic and Security Review Commission (USCC) recommends a Manhattan Project-style initiative and restrictions on humanoid robots in its latest report to Congress. Released in November 2024, the Commission’s annual report outlined 32 recommendations that could fundamentally alter how the two countries interact, with artificial intelligence taking centre stage in a
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.
Generative AI has redefined what we believe AI can do. What started as a tool for simple, repetitive tasks is now solving some of the most challenging problems we face. OpenAI has played a big part in this shift, leading the way with its ChatGPT system. Early versions of ChatGPT showed how AI could have human-like conversations. This ability provides a glimpse into what was possible with generative AI.
Last year, the DeepSeek LLM made waves with its impressive 67 billion parameters, meticulously trained on an expansive dataset of 2 trillion tokens in English and Chinese comprehension. Setting new benchmarks for research collaboration, DeepSeek ingrained the AI community by open-sourcing both its 7B/67B Base and Chat models. Now, what if I tell you there […] The post Andrej Karpathy Praises DeepSeek V3s Frontier LLM, Trained on a $6M Budget appeared first on Analytics Vidhya.
Last year, the DeepSeek LLM made waves with its impressive 67 billion parameters, meticulously trained on an expansive dataset of 2 trillion tokens in English and Chinese comprehension. Setting new benchmarks for research collaboration, DeepSeek ingrained the AI community by open-sourcing both its 7B/67B Base and Chat models. Now, what if I tell you there […] The post Andrej Karpathy Praises DeepSeek V3s Frontier LLM, Trained on a $6M Budget appeared first on Analytics Vidhya.
OpenAI is awarding a $1 million grant to a Duke University research team to look at how AI could predict human moral judgments. The initiative highlights the growing focus on the intersection of technology and ethics, and raises critical questions: Can AI handle the complexities of morality, or should ethical decisions remain the domain of humans? Duke Universitys Moral Attitudes and Decisions Lab (MADLAB), led by ethics professor Walter Sinnott-Armstrong and co-investigator Jana Schaich Borg, i
Artificial Intelligence (AI) is everywhere, changing healthcare, education, and entertainment. But behind all that change is a hard truth: AI needs much data to work. A few big tech companies like Google , Amazon , Microsoft , and OpenAI have most of that data, giving them a significant advantage. By securing exclusive contracts, building closed ecosystems, and buying up smaller players, they have dominated the AI market, making it hard for others to compete.
AI is a game-changer for any company but training large language models can be a major problem due to the amounts of computational power needed. This can be a daunting challenge to implementing the use of the AI especially for the organizations that require the technology to make significant impacts without having to spend […] The post OLMoE: Open Mixture-of-Experts Language Models appeared first on Analytics Vidhya.
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
Sometimes when we went to analyze what AI is doing in our world, we should go back to one of the simplest types of metrics what are people using it for a day to day?
As we approach a new year filled with potential, the landscape of technology, particularly artificial intelligence (AI) and machine learning (ML), is on the brink of significant transformation. Manish Jethwa, CTO at Ordnance Survey (OS), the national mapping agency for Great Britain, offers an insightful glimpse into what we can expect from these advancements and their implications for the geospatial sector.
AI agents are autonomous systems designed to perform tasks that would typically require human involvement. By using advanced algorithms, these agents can handle a wide range of functions, from answering customer inquiries to predicting business trends. This automation not only streamlines repetitive processes but also allows human workers to focus on more strategic and creative activities.
Concluding “12 Days of OpenAI” series, OpenAI introduced the o3 series, highlighting their superior performance in reasoning, coding, and mathematical tasks while maintaining cost-effectiveness. The o3 models achieved an advanced score of 75.7% on the ARC-AGI benchmark, a challenging test of general intelligence that had remained unbeaten for FIVE years.
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.
When devices, networks, and AI work together seamlessly, it creates a smarter, more connected ecosystem. This isn’t a distant dream; it’s a reality rapidly emerging as blockchain, IoT, and AI come together. These technologies are no longer working in isolation they form a trio that redefines how industries could function. David Palmer, chief product officer of Pairpoint by Vodafone, captures this shift: Blockchain is providing trust.
The veterinary field is undergoing a transformation through AI-powered tools that enhance everything from clinical documentation to cancer treatment. These innovative platforms are not just digitizing traditional processes they are fundamentally reshaping how veterinary professionals approach patient care, diagnostic accuracy, and practice management.
Generative AI witnessed remarkable advancements in 2024. Top generative AI companies like OpenAI, Google and Anthropic lead the LLM race with architecting and improving LLMs. Companies like Nvidia complimented the GenAI revolution with necessary hardware serving as the computational backbone. Also, these LLMs have made it possible to bring autonomous systems to life with agentic […] The post Top 5 Generative AI Stocks to Watch in 2025 appeared first on Analytics Vidhya.
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.
Customers need better accuracy to take generative AI applications into production. In a world where decisions are increasingly data-driven, the integrity and reliability of information are paramount. To address this, customers often begin by enhancing generative AI accuracy through vector-based retrieval systems and the Retrieval Augmented Generation (RAG) architectural pattern, which integrates dense embeddings to ground AI outputs in relevant context.
AI retail tools have moved far beyond simple automation and data crunching. Today's platforms dive deep into the subtle patterns of consumer behavior, market dynamics, and operational efficiency finding hidden opportunities that even experienced retailers might miss. What makes these tools particularly useful is their ability to process millions of micro-decisions simultaneously, from optimal shelf placement to precise inventory timing, creating a level of retail orchestration that was previous
Open-source AI models on Hugging Face have become a driving force in the AI space, and Hugging Face remains at the forefront of this movement. In 2024, it solidified its role as the go-to platform for state-of-the-art models, spanning NLP, computer vision, speech recognition, and more. These models rival proprietary ones, offering flexibility for customization […] The post Top 12 Open Source Models on Hugging Face in 2024 appeared first on Analytics Vidhya.
AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.
If we examine the world's most successful tech companies closely, an interesting pattern emerges: most began in academic settings. Google was conceived at Stanford University, where Larry Page and Sergey Brin developed their search engine as part of a PhD project.
The semiconductor industry enables advancements in consumer electronics, automotive systems, and cutting-edge computing technologies. The production of semiconductors involves sophisticated processes that demand unparalleled precision and expertise. These processes include chip design, manufacturing, testing, and optimization, each stage requiring deep domain knowledge.
AI is being applied to a wide range of the worlds problems among them, keeping the elderly safe as they age. Seniors overwhelmingly want to live independently: 92% of older adults say they prefer to live their final years in their current home. Indeed, the ability to live and age on their own terms gives the elderly a much-deserved sense of independence and control over the later chapter of their lives.
AI tools in software development are increasingly becoming indispensable for streamlining workflows and improving productivity. Windsurf and Cursor AI are two notable AI-powered development environments offering unique features and benefits. Understanding how these tools compare is key to choosing the right one for your needs. This article will break down five critical aspects: AI Integration, […] The post Windsurf vs Cursor AI: Which is Better for Coding?
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.
When you really probe venture capitalists about investing in AI startups, theyll tell you that businesses are experimenting wildly but are very slow to add AI solutions into their ongoing business processes. But there are some exceptions.
Author(s): Mukundan Sankar Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Photo by Accuray on Unsplash Artificial intelligence (AI) is shaking up all aspects of how we do anything, including the very core of medical imaging. Visualize a machine that analyzes a CT scan and spots early signs of cancer.
Artificial Intelligence (AI) is transforming industries and reshaping our daily lives. But even the most intelligent AI systems can make mistakes. One big problem is AI hallucinations , where the system produces false or made-up information. This is a serious issue in healthcare, law, and finance, where getting things right is critical. Though Large Language Models (LLMs) are incredibly impressive, they often struggle with staying accurate, especially when dealing with complex questions or retai
We organize all of the trending information in your field so you don't have to. Join 15,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content