The role of sufficient context
AI

The role of sufficient context

Retrieval augmented generation (RAG) enhances large language models (LLMs) by providing them with relevant external context. For example, when using a RAG system for a question-answer (QA) task, the LLM receives a context that may be a combination of information from multiple sources, such as public webpages, private document corpora, or knowledge graphs. Ideally, the […]

How to Become Immortal Using AI? • AI Blog
AI

How to Become Immortal Using AI? • AI Blog

We all leave traces behind: emails, text messages, photos, voice notes. But what if you could go one step further? What if your loved ones could still talk to you after you’re gone? Thanks to advances in artificial intelligence, digital immortality is no longer the stuff of science fiction. It’s becoming technically possible to create custom AIs

Eldercare robot helps people sit and stand, and catches them if they fall
Technology

Robotic hand moves objects with human-like grasp

When you reach out your hand to grasp an object like a bottle, you generally don’t need to know the bottle’s exact position in space to pick it up successfully. But as EPFL researcher Kai Junge explains, if you want to make a robot that can pick up a bottle, you must know everything about

The role of sufficient context
AI

Differential privacy on trust graphs

Differential privacy (DP) is a mathematically rigorous and widely studied privacy framework that ensures the output of a randomized algorithm remains statistically indistinguishable even if the data of a single user changes. This framework has been extensively studied in both theory and practice, with many applications in analytics and machine learning (e.g., 1, 2, 3,

Is the enterprise (actually) ready for AI?
Technology

Is the enterprise (actually) ready for AI?

May 13, 2025 Maryam Ashoori, Head of Product for watsonx.ai at IBM, joins Ryan and Eira to talk about the complexity of enterprise AI, the role of governance, the AI skill gap among developers, how AI coding tools impact developer productivity, what chain-of-thought reasoning entails, and what observability and monitoring look like for AI. Credit:

Is the enterprise (actually) ready for AI?
Technology

Next-level observability: live breakpoint debugging

May 13, 2025 On this episode, Ryan chats with Henrik Rexed, Cloud Native Advocate at Dynatrace, about debugging cloud-based applications like you would a local app. On this episode, Ryan chats with Henrik Rexed, Cloud Native Advocate at Dynatrace, about debugging cloud-based applications like you would a local app. They discuss the importance of instrumentation,

Beyond speed: Measuring engineering success by impact, not velocity
Technology

Beyond speed: Measuring engineering success by impact, not velocity

For many engineering teams, velocity—a measurement of effort expended by developers, usually as story points completed in a sprint—feels like the best way to measure output across stacks of projects and initiatives. But from the perspective of a leader who is tasked with bridging the gap between tech execution and business objectives, it doesn’t tell

The role of sufficient context
AI

Bringing 3D shoppable products online with generative AI

Third generation: Generalizing with Veo Our latest breakthrough builds on Veo, Google’s state-of-the-art video generation. A key strength of Veo is its ability to generate videos that capture complex interactions between light, material, texture, and geometry. Its powerful diffusion-based architecture and its ability to be finetuned on a variety of multi-modal tasks enable it to

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