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Artificial intelligence has made remarkable strides in recent years, with large language models (LLMs) leading in natural language understanding, reasoning, and creative expression. Yet, despite their capabilities, these models still depend entirely on external feedback to improve. Unlike humans, who learn by reflecting on their experiences, recognizing mistakes, and adjusting their approach, LLMs lack an internal mechanism for self-correction.
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
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.
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.
Document-heavy workflows slow down productivity, bury institutional knowledge, and drain resources. But with the right AI implementation, these inefficiencies become opportunities for transformation. So how do you identify where to start and how to succeed? Learn how to develop a clear, practical roadmap for leveraging AI to streamline processes, automate knowledge work, and unlock real operational gains.
For years, Artificial Intelligence (AI) has made impressive developments, but it has always had a fundamental limitation in its inability to process different types of data the way humans do. Most AI models are unimodal, meaning they specialize in just one format like text, images, video, or audio. While adequate for specific tasks, this approach makes AI rigid, preventing it from connecting the dots across multiple data types and truly understanding context.
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.
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.
I’ve had several conversations about using LLMs over the past few weeks where the people I talked to had little idea of what LLMs could and could not do, and how LLMs could and could not help them. Which is worrying, because if we want AI to actually help people, them the people being helped need to understand what to use AI for! A few examples: A student was trying to use obscure software library, could not not find info.
Google has launched Gemma 3, the latest version of its family of open AI models that aim to set a new benchmark for AI accessibility. Built upon the foundations of the companys Gemini 2.0 models, Gemma 3 is engineered to be lightweight, portable, and adaptableenabling developers to create AI applications across a wide range of devices. This release comes hot on the heels of Gemmas first birthday, an anniversary underscored by impressive adoption metrics.
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.
Smart technology is no longer a luxury for businesses but a critical driver of efficiency, growth, and innovation. As technology advances, companies are continually seeking ways to stay ahead in a highly competitive landscape, and the integration of smart solutions plays a pivotal role in shaping their future. By leveraging emerging technologies, businesses can streamline operations, improve productivity, and unlock new paths for innovation.
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.
Moores Law was the gold standard for predicting technological progress for years. Introduced by Gordon Moore, co-founder of Intel, in 1965, it stated that the number of transistors on a chip would double every two years, making computers faster, smaller, and cheaper over time. This steady advancement fuelled everything from personal computers and smartphones to the rise of the internet.
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.
As we gather for NVIDIA GTC, organizations of all sizes are at a pivotal moment in their AI journey. The question is no longer whether to adopt generative AI, but how to move from promising pilots to production-ready systems that deliver real business value. The organizations that figure this out first will have a significant competitive advantageand were already seeing compelling examples of whats possible.
The newly-formed Autoscience Institute has unveiled Carl, the first AI system crafting academic research papers to pass a rigorous double-blind peer-review process. Carls research papers were accepted in the Tiny Papers track at the International Conference on Learning Representations (ICLR). Critically, these submissions were generated with minimal human involvement, heralding a new era for AI-driven scientific discovery.
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.
In artificial intelligence, evaluating the performance of language models presents a unique challenge. Unlike image recognition or numerical predictions, language quality assessment doesn’t yield to simple binary measurements. Enter BLEU (Bilingual Evaluation Understudy), a metric that has become the cornerstone of machine translation evaluation since its introduction by IBM researchers in 2002.
Whats next in AI is at GTC 2025. Not only the technology, but the people and ideas that are pushing AI forward creating new opportunities, novel solutions and whole new ways of thinking. For all of that, this is the place. Heres where to find the news, hear the discussions, see the robots and ponder the just-plain mind-blowing. From the keynote to the final session, check back for live coverage kicking off when the doors open on Monday, March 17, in San Jose, California.
Just as the dust begins to settle on DeepSeek , another breakthrough from a Chinese startup has taken the internet by storm. This time, its not a generative AI model, but a fully autonomous AI agent, Manus , launched by Chinese company Monica on March 6, 2025. Unlike generative AI models like ChatGPT and DeepSeek that simply respond to prompts, Manus is designed to work independently, making decisions, executing tasks, and producing results with minimal human involvement.
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.
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
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.
Several major US artificial intelligence companies have expressed fear around an erosion of America’s edge in AI development. In recent submissions to the US government, the companies warned that Chinese models, such as DeepSeek R1, are becoming more sophisticated and competitive. The submissions, filed in March 2025 in response to a request for input on an AI Action Plan , highlight the growing challenge from China in technological capability and price.
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?
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
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.
The way we interact with our computers and smart devices is very different from previous years. Over the decades, human-computer interfaces have transformed, progressing from simple cardboard punch cards to keyboards and mice, and now extended reality-based AI agents that can converse with us in the same way as we do with friends. With each advance in human-computer interfaces, we’re getting closer to achieving the goal of interactions with machines, making computers more accessible and in
The Qwen team at Alibaba has unveiled QwQ-32B, a 32 billion parameter AI model that demonstrates performance rivalling the much larger DeepSeek-R1. This breakthrough highlights the potential of scaling Reinforcement Learning (RL) on robust foundation models. The Qwen team have successfully integrated agent capabilities into the reasoning model, enabling it to think critically, utilise tools, and adapt its reasoning based on environmental feedback. “Scaling RL has the potential to enhance m
NVIDIA has launched Dynamo, an open-source inference software designed to accelerate and scale reasoning models within AI factories. Efficiently managing and coordinating AI inference requests across a fleet of GPUs is a critical endeavour to ensure that AI factories can operate with optimal cost-effectiveness and maximise the generation of token revenue.
Hugging Face has called on the US government to prioritise open-source development in its forthcoming AI Action Plan. In a statement to the Office of Science and Technology Policy (OSTP), Hugging Face emphasised that thoughtful policy can support innovation while ensuring that AI development remains competitive, and aligned with American values. Hugging Face, which hosts over 1.5 million public models across various sectors and serves seven million users, proposes an AI Action Plan centred on th
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.
Deepgram has unveiled Nova-3 Medical, an AI speech-to-text (STT) model tailored for transcription in the demanding environment of healthcare. Designed to integrate seamlessly with existing clinical workflows, Nova-3 Medical aims to address the growing need for accurate and efficient transcription in the UKs public NHS and private healthcare landscape.
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.
Large language models (LLMs) are rapidly evolving from simple text prediction systems into advanced reasoning engines capable of tackling complex challenges. Initially designed to predict the next word in a sentence, these models have now advanced to solving mathematical equations, writing functional code, and making data-driven decisions. The development of reasoning techniques is the key driver behind this transformation, allowing AI models to process information in a structured and logical ma
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