Spotify tests more personalized, AI-powered ‘Prompted Playlists’
The playlists can factor in world knowledge, go back to your listening history from day one, and be refreshed daily or weekly.
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Empromptu raises $2M pre-seed to help enterprises build AI apps
Empromptu claims all a user has to do is tell the platform’s AI chatbot what they want — like a new HTML or JavaScript app — and the AI will go ahead and build it.
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New AI system could accelerate clinical research
Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical researchers take when running a new study involving biomedical images. For instance, to determine how the size of the brain’s hippocampus changes as patients age, the scientist first outlines each hippocampus in a series of brain scans. For many structures and image types, this is often a manual process that can be extremely time-consuming, especially if the regions […]
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Differences between transformer-based AI and the new generation of AI models
I frequently refer to OpenAI and the likes as LLM 1.0, by contrast to our xLLM architecture that I present as LLM 2.0. Over time, I received a lot of questions. Here I address the main differentiators. First, xLLM is a no-Blackbox, secure, auditable, double-distilled agentic LLM/RAG for trustworthy Enterprise AI, using 10,000 fewer (multi-)tokens, no vector database but Python-native, fast nested hashes in its original version, and no transformer to generate the structured output to a prompt. […]
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The AI Bubble Will Pop — And Why That Doesn’t Matter
How history’s biggest tech bubble explains where AI is headed next The post The AI Bubble Will Pop — And Why That Doesn’t Matter appeared first on Towards Data Science.
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The Myth of Cloud Resilience in the Age of Intelligence – SPONSOR CONTENT FROM RELTIO
Sponsor content from Reltio.
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MIT researchers propose a new model for legible, modular software
Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code that’s messy, hard to change safely, and often opaque about what’s really happening under the hood. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are charting a more “modular” path ahead. Their new approach breaks systems into “concepts,” separate pieces of a system, each designed to do one job well, and “synchronizations,” explicit rules that describe exactly […]
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Under the Hood: Understanding tools like n8n and building Custom Nodes for Enterprise AI Workflows
Author(s): Samvardhan Singh Originally published on Towards AI. Learn how to build a Custom Node for Automated AI Infrastructure Monitoring and Neural Network Training Pipeline Diagnostics If you’re not a medium member, access this article for free here. image by authorThis article explores n8n, a powerful open-source workflow automation platform, detailing its architecture and capabilities for building custom nodes to enhance automated AI infrastructure monitoring and neural network training diagnostics. The article emphasizes n8n’s extensibility and modular development […]
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New Research on AI and Fairness in Hiring
AI promises to make hiring fairer by reducing human bias. But it often reshapes what fairness means.
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A faster problem-solving tool that guarantees feasibility
Managing a power grid is like trying to solve an enormous puzzle. Grid operators must ensure the proper amount of power is flowing to the right areas at the exact time when it is needed, and they must do this in a way that minimizes costs without overloading physical infrastructure. Even more, they must solve this complicated problem repeatedly, as rapidly as possible, to meet constantly changing demand. To help crack this consistent conundrum, MIT researchers developed a […]
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