A discussion about finding pictures of ITS machines, with users sharing links to images and information about PDP-6 and PDP-10 systems.
- Raph Levien, who is an expert in Rust and rendering on GPUs, who founded Advogato, and who designed Inconsolata, a great monospace font. His talk's title is *I Want a Good Parallel Language*.
- Jeff Shrager will give a talk on reviving early AI programs like ELIZA and IPL-V. His talk's title is *RetroAI: Reanimating the Earliest AIs in the Lost Languages that Predated Lisp*.
- Jeff Shrager will give a talk on reviving early AI programs like ELIZA and IPL-V. His talk's title is *RetroAI: Reanimating the Earliest AIs in the Lost Languages that Predated Lisp*.
An exploration of the role of an ontologist, covering skills, tasks, differences from taxonomists, training resources, and the future of the field.
Educational interactive simulations created with generative AI tools and p5.js
An article detailing the history of LISP machines and the SCHEME-78 microprocessor, designed to closely match the LISP language, developed by Guy L. Steele and Gerald Jay Sussman. It discusses the motivations behind creating dedicated LISP hardware, its eventual decline, and its relevance to modern AI hardware.
Ollama has partnered with NVIDIA to optimize performance on the new NVIDIA DGX Spark, powered by the GB10 Grace Blackwell Superchip, enabling fast prototyping and running of local language models.
This article details the integration of Docker Model Runner with the NVIDIA DGX Spark, enabling faster and simpler local AI model development. It covers setup, usage, and benefits like data privacy, offline availability, and ease of customization.
This article explains the internal workings of vector databases, highlighting that they don't perform a brute-force search as commonly described. It details algorithms like HNSW, IVF, and PQ, the tradeoffs between recall, speed, and memory, and how different RAG patterns impact vector database usage. It also discusses production challenges like filtering, updates, and sharding.
Preliminary, alphabetically ordered list of papers accepted for inclusion in the DX’25 proceedings as full papers.
The papers cover a range of topics within the field of diagnosis and prognosis, including:
* **LLM Applications:** Exploring the potential of Large Language Models for diagnostic concepts and fault detection.
* **Fault Diagnosis & Isolation:** Techniques for identifying and locating faults in systems like HVAC, control systems, and radiotherapy equipment, utilizing methods like dynamic slicing, spectrum-based fault localization, and data-driven approaches.
* **Prognosis & Remaining Useful Life:** Predicting future system behavior and estimating remaining useful life, including approaches using particle filters and spectral fault receptive fields.
* **Hybrid Systems & Machine Learning:** Utilizing one-shot learning and deep learning clustering for system identification and predictive maintenance.
* **Competition & Benchmarks:** Details about the DX 2025 competition and its associated benchmarks.
* **Model-Based Diagnosis:** Using qualitative simulation models and fusing temporal logic with probabilistic diagnosis.
The list includes 15 accepted papers with authors and titles provided. The conference will be held from September 22-24, 2025, in Nashville, Tennessee.
The papers cover a range of topics within the field of diagnosis and prognosis, including:
* **LLM Applications:** Exploring the potential of Large Language Models for diagnostic concepts and fault detection.
* **Fault Diagnosis & Isolation:** Techniques for identifying and locating faults in systems like HVAC, control systems, and radiotherapy equipment, utilizing methods like dynamic slicing, spectrum-based fault localization, and data-driven approaches.
* **Prognosis & Remaining Useful Life:** Predicting future system behavior and estimating remaining useful life, including approaches using particle filters and spectral fault receptive fields.
* **Hybrid Systems & Machine Learning:** Utilizing one-shot learning and deep learning clustering for system identification and predictive maintenance.
* **Competition & Benchmarks:** Details about the DX 2025 competition and its associated benchmarks.
* **Model-Based Diagnosis:** Using qualitative simulation models and fusing temporal logic with probabilistic diagnosis.
The list includes 15 accepted papers with authors and titles provided. The conference will be held from September 22-24, 2025, in Nashville, Tennessee.
Italo Calvino's 'literature machine' is a prescient vision of the perils and promise of artificial intelligence. This article explores Calvino's thoughts on the future of literature in the age of computers, his embrace of fantasy as a way to represent the modern world, and why his work remains relevant today.
