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Gemini 2.5 is being hailed by Google DeepMind as its “most intelligent AI model” to date. The first model from this latest generation is an experimental version of Gemini 2.5 Pro, which DeepMind says has achieved state-of-the-art results across a wide range of benchmarks. According to Koray Kavukcuoglu, CTO of Google DeepMind, the Gemini 2.5 models are “thinking models” This signifies their capability to reason through their thoughts before generating a response, leading
Power Bot 'Em Researchers have found that ChatGPT "power users," or those who use it the most and at the longest durations, are becoming dependent upon or even addicted to the chatbot. In a new joint study , researchers with OpenAI and the MIT Media Lab found that this small subset of ChatGPT users engaged in more "problematic use," defined in the paper as "indicators of addiction. including preoccupation, withdrawal symptoms, loss of control, and mood modification.
While interacting with AI agents, we often find ourselves repeatedly sharing the same preferences, facts, and information. This lack of long-term memory means the agent cannot learn from past conversations or adapt its responses. Imagine if these AI agents could remember your preferences, learn from previous interactions, and optimize its behavior accordingly, retaining the knowledge […] The post LangMem SDK: Personalizing AI Agents with Semantic Memory appeared first on Analytics Vidhya.
Have you ever felt like youre drowning in customer inquiries and repetitive tasks, or just wish you had an assistant to handle conversations for you? Imagine having a chatbot that doesnt just respond but actually understands, learns, and improves over time, without you needing to be a coding expert. Thats where Botpress comes in. Botpress isnt just another chatbot builder.
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 Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
Anthropic has provided a more detailed look into the complex inner workings of their advanced language model, Claude. This work aims to demystify how these sophisticated AI systems process information, learn strategies, and ultimately generate human-like text. As the researchers initially highlighted, the internal processes of these models can be remarkably opaque, with their problem-solving methods often “inscrutable to us, the models developers.” Gaining a deeper understanding of t
Training Diffusion Models with Reinforcement Learning We deployed 100 reinforcement learning (RL)-controlled cars into rush-hour highway traffic to smooth congestion and reduce fuel consumption for everyone. Our goal is to tackle "stop-and-go" waves , those frustrating slowdowns and speedups that usually have no clear cause but lead to congestion and significant energy waste.
Training Diffusion Models with Reinforcement Learning We deployed 100 reinforcement learning (RL)-controlled cars into rush-hour highway traffic to smooth congestion and reduce fuel consumption for everyone. Our goal is to tackle "stop-and-go" waves , those frustrating slowdowns and speedups that usually have no clear cause but lead to congestion and significant energy waste.
To improve AI interoperability, OpenAI has announced its support for Anthropic’s Model Context Protocol (MCP), an open-source standard designed to streamline the integration between AI assistants and various data systems. This collaboration marks a pivotal step in creating a unified framework for AI applications to access and utilize external data sources effectively.
For decades, scientists and engineers have worked to create humanoid robots capable of walking, talking, and interacting like humans. While significant progress has been made, building robots that can adapt to new environments or learn new skills has remained a complex and costly challenge. NVIDIA is addressing this with Isaac GR00T N1 , the worlds first open and customizable foundation model for humanoid robot reasoning and skills.
DeepSeek V3-0324 has become the highest-scoring non-reasoning model on the Artificial Analysis Intelligence Index in a landmark achievement for open-source AI. The new model advanced seven points in the benchmark to surpass proprietary counterparts such as Googles Gemini 2.0 Pro , Anthropics Claude 3.7 Sonnet , and Metas Llama 3.3 70B. While V3-0324 trails behind reasoning models, including DeepSeeks own R1 and offerings from OpenAI and Alibaba , the achievement highlights the growing viability
A long-awaited, emerging computer network component may finally be having its moment. At Nvidias GTC event last week in San Jose, the company announced that it will produce an optical network switch designed to drastically cut the power consumption of AI data centers. The systemcalled a co-packaged optics, or CPO, switch can route tens of terabits per second from computers in one rack to computers in another.
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.
The AI race is heating up with newer, competing models launched every other day. Amid this rapid innovation, Google Gemini 2.5 Pro challenges OpenAI GPT-4.5, both offering cutting-edge advancements in AI capabilities. In this Gemini 2.5 Pro vs GPT-4.5 article, we will compare the features, benchmark results, and performance of both these models in various […] The post Gemini 2.5 Pro vs GPT 4.5: Does Google’s Latest Beat OpenAI’s Best?
Google has unveiled Gemini 2.5 Pro , calling it its most intelligent AI model to date. This latest large language model, developed by the Google DeepMind team, is described as a thinking model designed to tackle complex problems by reasoning through steps internally before responding. Early benchmarks back up Googles confidence: Gemini 2.5 Pro (an experimental first release of the 2.5 series) is debuting at #1 on the LMArena leaderboard of AI assistants by a significant margin, and it leads many
LetzAI is quickly becoming a go-to platform for high-quality AI-generated images. With a mission to democratise and personalise AI-powered image generation, it has emerged as one of the most popular and high-quality options on the market. The problem: In 2023, Neon Internet CEO and co-founder Misch Strotz was struck by a clever idea: give Luxembourg residents the power to easily generate local images using AI.
The arrival of OpenAI's DALL-E 2 in the spring of 2022 marked a turning point in AI when text-to-image generation suddenly became accessible to a select group of users, creating a community of digital explorers who experienced wonder and controversy as the technology automated the act of visual creation. But like many early AI systems, DALL-E 2 struggled with consistent text rendering, often producing garbled words and phrases within images.
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
Youve built applications with LLMs. Youve played with agents. Maybe youve even worked with LangChain, AutoGen, or OpenAIs Assistants API. Isnt it impressive how much these models can reason, understand, and generate? But the moment your agent needs to do something real, like check a database, read from a CRM, or fetch a Google Doc; […] The post How to Use MCP: Model Context Protocol appeared first on Analytics Vidhya.
For years, creating robots that can move, communicate, and adapt like humans has been a major goal in artificial intelligence. While significant progress has been made, developing robots capable of adapting to new environments or learning new skills has remained a complex challenge. Recent advances in large language models (LLMs) are now changing this.
ARC Prize has launched the hardcore ARC-AGI-2 benchmark, accompanied by the announcement of their 2025 competition with $1 million in prizes. As AI progresses from performing narrow tasks to demonstrating general, adaptive intelligence, the ARC-AGI-2 challenges aim to uncover capability gaps and actively guide innovation. Good AGI benchmarks act as useful progress indicators.
On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet , the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 by proving that "deep learning" could achieve things conventional AI techniques could not. Deep learning , which uses multi-layered neural networks that can learn from data without explicit programming, represented a significant departure from traditional AI approaches that relied on hand-crafted ru
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.
Retrieval Augmented Generation (RAG) systems are revolutionizing how we interact with information, but they’re only as good as the data they retrieve. Optimizing those retrieval results is where the reranker comes in. For instance, consider it as a quality control system for your search results, ensuring that only the most relevant information comes into the […] The post Comprehensive Guide on Reranker for RAG appeared first on Analytics Vidhya.
Lingping Gao , Founder, Chief Executive Officer, and Chairman of NetBrain Technologies, established the company in 2004 with a mission to simplify network management. Prior to founding NetBrain, Mr. Gao was the Chief Network Architect at Thomson Financial, where he managed the complexities of large enterprise networks and experienced the challenges of maintaining network performance.
AI is shaping the future, but is it truly designed for everyone? Frankie Woodhead, chief product & technology officer at AI-powered learning management system, Thrive , argues that neurodiverse input is not just beneficial but essential for creating inclusive, ethical and effective AI systems. In this Q&A, Woodhead explores how neurodivergent talent enhances AI development, helps combat bias, and drives innovation – offering insights on how businesses can foster a more inclusive te
One of the perks of Angie Adams job at Samsung is that every year, she gets to witness how some of the countrys most talented emerging scientists are tackling difficult problems in creative ways. Theyre working on AI tools that can recognize the signs of oncoming panic attacks for kids on the autism spectrum in one case, and figuring out how drones can be used effectively to fight wildfires in another.
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.
So far we have seen LLMs be all about text generation, but looks like things are changing. In the last 15 days, we have seen Google launch its best ever model – Gemini 2.5 Pro with strong image generation capabilities, x.ai releasing image editing features in Grok 3. Open AI has just dropped its best […] The post GPT 4o, Gemini 2.5 Pro, or Grok 3: Which is the Best Image Generation Model?
AI-powered coding tools are changing the software development paradigm. Platforms like GitHub Copilot , Amazon CodeWhisperer , and ChatGPT have become essential for developers, helping them write code faster, debug efficiently, and tackle complex programming tasks with minimal effort. These AI-powered coding assistants can automate tedious tasks, provide real-time debugging, and help solve complex problems with just a few suggestions.
In an increasing number of industries, eDiscovery of regulation and compliance documents can make trading (across state borders in the US, for example) less complex. In an industry like pharmaceutical, and its often complex supply chains, companies have to be aware of the mass of changing rules and regulations emanating from different legislatures at local and federal levels.
One of the most frustrating things about using a large language model is dealing with its tendency to confabulate information , hallucinating answers that are not supported by its training data. From a human perspective, it can be hard to understand why these models don't simply say "I don't know" instead of making up some plausible-sounding nonsense.
The guide for revolutionizing the customer experience and operational efficiency 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. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp
NVIDIA’s Isaac GR00T N1 represents a quantum leap in humanoid robotics, combining cutting-edge AI with open-source accessibility. As the world’s first open foundation model for generalized humanoid reasoning, this technology enables robots to interpret language commands, process visual data, and execute complex manipulation tasks across diverse environments.
Are you juggling multiple AI subscriptions, each with its own pricing plan and renewal dates? One platform gives you ChatGPT, another offers Claude , a third lets you generate images and another handles video creation. Before you know it, your expenses for these AI tools have spiraled out of control. You end up overwhelmed by how many tools you need to manage.
Developing therapeutics continues to be an inherently costly and challenging endeavor, characterized by high failure rates and prolonged development timelines. The traditional drug discovery process necessitates extensive experimental validations from initial target identification to late-stage clinical trials, consuming substantial resources and time.
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