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Chinese AI startup DeepSeek has solved a problem that has frustrated AI researchers for several years. Its breakthrough in AI reward models could improve dramatically how AI systems reason and respond to questions. In partnership with Tsinghua University researchers, DeepSeek has created a technique detailed in a research paper, titled “ Inference-Time Scaling for Generalist Reward Modeling.” It outlines how a new approach outperforms existing methods and how the team “achieved
Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements. The multi-LLM approach enables organizations to effectively choose the right model for each task, adapt to different domains, and optimize for specific cost, latency, or quality needs.
AI is driving a new revolution across a number of industries and the supply chain is no exception. AI has been the most transformative technology of the decade, and its no secret it has helped supply chains become more efficient, resilient, and responsive, while allowing organisations to become more efficient and ensuring workforces to focus on more strategic growth.
Las Vegas is playing host to Google Cloud Next 2025 , an event unfolding at a critical moment for the technology industry. The artificial intelligence arms race among the cloud titans Amazon Web Services (AWS), Microsoft Azure, and Google Cloud is escalating rapidly. Google, often cast as the third contender despite its formidable technological prowess and deep AI research roots, seized the Cloud Next stage to articulate a comprehensive and aggressive strategy aimed squarely at the enterprise
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.
Spot AI has introduced Iris , which the company describes as the worlds first universal video AI agent builder for enterprise camera systems. The tool allows businesses to create customised AI agents through a conversational interface, making it easier to monitor and act on video data from physical settings without the need for technical expertise. Designed for industries like manufacturing, logistics, retail, construction, and healthcare, Iris builds on Spot AIs earlier launch of out-of-the-box
Job hunting can feel like shouting into the void. You polish your resume , write a dozen cover letters , and still hear nothing. Its exhausting. On average, HiringThing found that a job candidate receives one interview request for every six applications they complete. Thats a lot of effort for a “maybe.” Now imagine having an AI coach that tailors interview questions to your resume, gives you feedback in real time during live interviews, and even helps auto-apply to the best-fit role
Job hunting can feel like shouting into the void. You polish your resume , write a dozen cover letters , and still hear nothing. Its exhausting. On average, HiringThing found that a job candidate receives one interview request for every six applications they complete. Thats a lot of effort for a “maybe.” Now imagine having an AI coach that tailors interview questions to your resume, gives you feedback in real time during live interviews, and even helps auto-apply to the best-fit role
The promise of AI is that it’ll make all of our lives easier. And with great convenience comes the potential for serious profit. The United Nations thinks AI could be a $4.8 trillion global market by 2033 about as big as the German economy. But forget about 2033: in the here and now, AI is already fueling transformation in industries as diverse as financial services, manufacturing, healthcare, marketing, agriculture, and e-commerce.
Deep Cogito has released several open large language models (LLMs) that outperform competitors and claim to represent a step towards achieving general superintelligence. The San Francisco-based company, which states its mission is “building general superintelligence,” has launched preview versions of LLMs in 3B, 8B, 14B, 32B, and 70B parameter sizes.
Stphan Donz is the founder and CEO of AODocs, a cloud-native document management platform that transforms enterprise content into actionable intelligence. Unlike legacy systems limited to basic storage, AODocs combines robust document control with workflow automation, enabling businesses to streamline complex processes across industries. From sales proposals and claims management to engineering and manufacturing, AODocs uses generative AI to extract structured data from unstructured documentsat
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.
NVIDIA is collaborating with Google Cloud to bring agentic AI to enterprises seeking to locally harness the Google Gemini family of AI models using the NVIDIA Blackwell HGX and DGX platforms and NVIDIA Confidential Computing for data safety. With the NVIDIA Blackwell platform on Google Distributed Cloud, on-premises data centers can stay aligned with regulatory requirements and data sovereignty laws by locking down access to sensitive information, such as patient records, financial transactions
Since the online advertising sector is estimated to have spent $740.3 billion USD in 2023, it's easy to understand why advertising companies invest considerable resources into this particular strand of computer vision research. Though insular and protective, the industry occasionally publishes studies that hint at more advanced proprietary work in facial and eye-gaze recognition including age recognition , central to demographic analytics statistics: Estimating age in an in-the-wild advertising
In a significant development for the AI community, Agentica and Together AI have released an open-source AI coding model named DeepCoder-14B. Offering code generation capabilities on par with closed-source competitors like OpenAI’s o3-mini and o1, DeepCoder-14B positions itself as a formidable open-source alternative to proprietary models. Moreover, this new model ensures full transparency and developer […] The post DeepCoder-14B: The Open-Source Competition to o3-mini and o1 appeare
A group of organizations, including nonprofits like LatinoProsperity and labor groups like the California Teamsters, are petitioning California Attorney General Rob Bonta to stop OpenAI from becoming a for-profit entity, The Los Angeles Times reports. OpenAI announced plans to transition to a public-benefit corporation in 2024, and reportedly has two years to pull it off or risk a large portion of the money its raised become debt.
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.
Nina Schick is a leading speaker and expert on generative AI , renowned for her groundbreaking work at the intersection of technology, society and geopolitics. As one of the first authors to publish a book on generative AI, she has emerged as a sought-after speaker helping global leaders, businesses, and institutions understand and adapt to this transformative moment.
AI companies have been working on voice models for a while now, but it seems things really ramped up after OpenAI unveiled ChatGPT Voice Mode. Now, Amazon has just introduced its new "foundation" AI voice model called Nova Sonic. And it really makes Alexa sound like she's living way in the past. According to Amazon, Nova Sonic "unifies speech understanding and speech generation into a single model, to enable more human-like voice conversations in AI applications.
Radical AI has released TorchSim, a next-generation PyTorch-native atomistic simulation engine for the MLIP era. It accelerates materials simulation by orders of magnitude, transforming traditional scientific approaches. Current materials research requires large teams focused on single problems, resulting in slow progress and high costs. Radical AI aims to revolutionize this paradigm by enabling individual scientists to tackle multiple challenges simultaneously through AI and autonomous systems.
Agents are revolutionizing how businesses automate complex workflows and decision-making processes. Amazon Bedrock Agents helps you accelerate generative AI application development by orchestrating multi-step tasks. Agents use the reasoning capability of foundation models (FMs) to break down user-requested tasks into multiple steps. In addition, they use the developer-provided instruction to create an orchestration plan and then carry out the plan by invoking company APIs and accessing knowledge
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
Google has released the Agent Development Kit (ADK) , an open-source framework aimed at making it easier for developers to build, manage, and deploy multi-agent systems. ADK is written in Python and focuses on modularity and flexibility, making it suitable for both simple and more complex use cases involving multiple interacting agents. Summary Set up a basic multi-agent system with under 100 lines of Python.
Large generative models are becoming increasingly capable and more widely deployed to power production applications, but getting these models to produce exactly what's desired can still be challenging. Fine-grained control over these models' outputs is important to meet user expectations and to mitigate potential misuses, ensuring the models' reliability and safety.
Necessity is the mother of invention. And sometimes, what a person really needs is hot chocolate served to them by a robot one named after a pop star, ideally. Angle Bush, founder and CEO of Black Women in Artificial Intelligence (BWIAI), began her AI journey in 2019 with the idea to build a robot named Usher that could bring her cocoa. As she scoured robotics tutorial videos for ways to bring her vision to life, Bush found herself captivated by something even bigger: artificial intelligence.
Figure 1. Copilot Arena is a VSCode extension that collects human preferences of code directly from developers. As model capabilities improve, large language models (LLMs) are increasingly integrated into user environments and workflows. In particular, software developers code with LLM-powered tools in integrated development environments such as VS Code, IntelliJ, or Eclipse.
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
Instruction-following is crucial for building AI agents with large language models (LLMs), as these models must adhere strictly to user-provided constraints and guidelines. However, LLMs often fail to follow even simple and clear instructions. To improve instruction-following behavior and prevent undesirable outputs, a deeper understanding of how LLMs internal states relate to these outcomes is required.
Employee productivity is a critical factor in maintaining a competitive advantage. Amazon Q Business offers a unique opportunity to enhance workforce efficiency by providing AI-powered assistance that can significantly reduce the time spent searching for information, generating content, and completing routine tasks. Amazon Q Business is a fully managed, generative AI-powered assistant that lets you build interactive chat applications using your enterprise data, generating answers based on your d
The EU has faced criticisms that its rules on everything from AI to taxation hinder innovation and make it harder for startups to operate across the region.
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.
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Boston Dynamics is at it again, wowing us with some seriously cool robotic moves. Their latest video of Atlas, their bipedal robot, has blown up online with its mind-blowing human-like movements, including breakdancing.
Summary: Degree of freedom in statistics determine the number of independent values that can vary within a dataset while meeting constraints. This guide explains its significance, formulas for different tests, practical examples, and key applications in hypothesis testing. Understanding degrees of freedom ensures accurate statistical analysis and reliable conclusions.
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