Tag: WebDev

Google is adding a new feature for third-party developers building atop its Gemini AI models that rivals like OpenAI's ChatGPT, Anthropic's Claude, and the growing array of Chinese open source options are unlikely to get anytime soon: grounding with Google Maps.This addition allows developers to connect Google's Gemini AI models' reasoning capabilities with live geospatial data from Google Maps, enabling applications to deliver detailed, location-relevant responses to user queries—such as business hours, reviews, or the atmosphere of a specific venue. By tapping into data from over 250 million places, developers can now build more intelligent and responsive location-aware experiences.This is particularly useful for applications where proximity, real-time availability, or location-specific personalization matter—such as local search, delivery services

Cisco executives make the case that the distinction between product and model companies is disappearing, and that accessing the 55% of enterprise data growth that current AI ignores will separate winners from losers.VentureBeat recently caught up with Jeetu Patel, Cisco's President and Chief Product Officer and DJ Sampath, Senior Vice President of AI Software and Platform, to gain new insights into a compelling thesis both leaders share. They and their teams contend that every successful product company must become an AI model company to survive the next decade.When one considers how compressed product lifecycles are becoming, combined with the many advantages of digital twin technology to accelerate time-to-market of next-gen products, the thesis makes sense.The conversation revealed why this transformation is inevitable, backed by solid data points. The team contends that 55% of all data growth is machine data t

For many software developers using generative AI, vibe coding is a double-edged sword. The process delivers rapid prototypes but often leaves a trail of brittle, undocumented code that creates significant technical debt. A new open-source platform, Codev, addresses this by proposing a fundamental shift: treating the natural language conversation with an AI as part of the actual source code. Codev is based on SP(IDE)R, a framework designed to turn vibe-coding conversations into structured, versioned, and auditable assets that become part of the code repository.What is Codev?At its core, Codev is a methodology that treats natural language context as an integral part of the development lifecycle as opposed to a disposable artifact as is the

AI models are only as good as the data they're trained on. That data generally needs to be labeled, curated and organized before models can learn from it in an effective way.One of the big missing links in the AI ecosystem has been the availability of a large high-quality open-source multimodal dataset. That changes today with the debut of the EMM-1 dataset which is comprised of 1 billion data pairs and 100M data groups across 5 modalities: text, image, video, audio and 3d point clouds. Multimodal datasets combine different types of data that AI systems can process together. This mirrors how humans perceive the world using multiple senses simultaneously. These datasets enable AI systems to make richer inferences by understanding relationships across data types, rather than processing each modality in isolation.EMM-1 is developed by data labeling

One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite their reputation among some critics as being "fancy autocorrect," generative AI models actually generate their outputs by choosing from a distribution of the most probable next tokens (units of information) to fill out their response.Asking an LLM: "What is the capital of France?" will have it sample its probability distribution for France, capitals, cities, etc. to arrive at the answer "Paris." But that answer could come in the format of "The capital of France is Paris," or simply "Paris" or "Paris, though it was Versailles at one point." Still, those of us that use these models frequently day-to-day will note that sometimes, their answers can feel annoyingly repetitive or similar. A common joke about coffee is recy

Anthropic launched a new capability on Thursday that allows its Claude AI assistant to tap into specialized expertise on demand, marking the company's latest effort to make artificial intelligence more practical for enterprise workflows as it chases rival OpenAI in the intensifying competition over AI-powered software development.The feature, called Skills, enables users to create folders containing instructions, code scripts, and reference materials that Claude can automatically load when relevant to a task. The system marks a fundamental shift in how organizations can customize AI assistants, moving beyond one-off prompts to reusable packages of domain expertise that work consistently across an entire company."Skills are based on our belief and vision that as model intelligence continues to improve, we'll continue mo

One year after emerging from stealth, Strella has raised $14 million in Series A funding to expand its AI-powered customer research platform, the company announced Thursday. The round, led by Bessemer Venture Partners with participation from Decibel Partners, Bain Future Back Ventures, MVP Ventures and 645 Ventures, comes as enterprises increasingly turn to artificial intelligence to understand customers faster and more deeply than traditional methods allow.The investment marks a sharp acceleration for the startup founded by Lydia Hylton and Priya Krishnan, two former consultants and product managers who watched companies struggle with a customer research process th

Microsoft is fundamentally reimagining how people interact with their computers, announcing Thursday a sweeping transformation of Windows 11 that brings voice-activated AI assistants, autonomous software agents, and contextual intelligence to every PC running the operating system — not just premium devices with specialized chips.The announcement represents Microsoft's most aggressive push yet to integrate generative artificial intelligence into the desktop computing experience, moving beyond the chatbot interfaces that have defined the first wave of consumer AI products toward a more ambient, conversational model where users can simply talk to their computers and have AI agents complete complex tasks on their behalf."When we think about what the promise of an

A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework automatically populates and modifies the context window of large language model (LLM) applications by treating it as an “evolving playbook” that creates and refines strategies as the agent gains experience in its environment.ACE is designed to overcome key limitations of other context-engineering frameworks, preventing the model’s context from degrading as it accumulates more information. Experiments show that ACE works for both optimizing system prompts and managing an agent's memory, outperforming other methods while also being significantly more efficient.The challenge of context engineeringAdvanced AI ap

When Walmart and OpenAI announced that the retailer would integrate with ChatGPT, the question became how quickly OpenAI could deliver on the promise of agents buying things for people. In the battle of AI-enabled commerce, getting agents to securely complete transactions is one of the biggest hurdles. More and more, chat platforms like ChatGPT are replacing browsers and getting very good at surfacing information people search for. Users will ask ChatGPT for the best humidifiers on the market, and when the model returns results, people have no choice but to click the item link and complete the purchase online. AI agents, as of now, don’t have the ability or the trust infrastructure to make people and banking institutions feel safe enough to let it loose on someone’s cash. Enterprises and other industry players understand that, to allow agents to pay