Full-text search across 12549 articles. Combine with topic and date filters; results sorted by relevance.
A developer built a chess bot using a transformer architecture with 11 million parameters, achieving a 1500 Elo rating from the model alone and 2100 Elo when combined with Monte Carlo Tree Search. The bot is available as…
Kimba, a new sleep technology company, launched a clinically validated, AI-powered device that tracks health metrics and releases personalized scents to improve sleep quality. The device, available for preorder at $299, …
PagedAttention, a memory optimization technique in the vLLM inference server, applies virtual memory concepts to manage the KV cache in large language models, improving throughput by reducing fragmentation. The KV cache …
A new study reveals that large language models (LLMs) silently corrupt documents when delegated editing tasks, with even top-tier models like Gemini Pro, Claude Opus, and GPT-5 degrading 25% of original content after 20 …
The field of LLM explainability is advancing with new frameworks like SMILE and gSMILE that use statistical methods to create visual heatmaps showing which parts of a user prompt most influenced a model's output. Researc…
Amazon Web Services Inc. has launched cloud-to-edge solutions for physical AI systems, addressing the operational, data, latency, and lifecycle-management challenges of moving from demo to deployment. Sri Elaprolu, direc…
A comprehensive guide has been published covering the history, techniques, datasets, algorithms, tools, and real-world applications of image reconstruction using deep learning. The resource details how deep learning mode…
A mathematician named Norbert Wiener sent a letter in 1949 warning about the dangers of intelligent machines, but his concerns were ignored. The piece traces the history of AI safety concerns from Wiener's cybernetics to…
Given artificial general intelligence (AGI), automating physical production would likely be straightforward because a system capable of all remote cognitive work would also master real-time control, spatial reasoning, an…
Researchers introduced AgentOdyssey, a framework that procedurally generates open-ended text games to evaluate test-time continual learning agents. The framework assesses agents on exploration, knowledge acquisition, mem…
Cheap AI intelligence is repricing labor, shifting work from human execution to machine delegation. Five forecasts predict that prompts become work orders, agents replace chatbots, and companies treat tokens as labor sub…
Researchers Bhavik Chandna and Procheta Sen introduced a counterfactual explanation framework for retrieval models that identifies which terms need to be added to a document to improve its ranking, addressing why a docum…
NVIDIA released Cosmos 3 Edge, a 4-billion-parameter open world model designed to run on-device for robots and vision AI agents, enabling real-time reasoning and local action generation. The model is the smallest tier in…
NVIDIA's DGX Spark desktop GPU, with 128 GB unified memory and a 140W ARM64 processor, challenges API developers to shift from cloud-based AI consumption to local systems engineering. The device's shared memory architect…
The concept of next-token prediction in modern AI traces back to a 1913 experiment by Russian mathematician Andrei Markov, who analyzed 20,000 letters from Alexander Pushkin's 'Eugene Onegin' to demonstrate that dependen…
Natural Language Processing (NLP) is an AI field that enables computers to understand and generate human language, powering applications like chatbots, search engines, and content creation. Key techniques include tokeniz…
T version 0.55.5 "L'Ultime combat" has been released, offering a hermetic dependency graph that orchestrates Julia, Python, and R pipelines through Nix and passes DataFrames between nodes via Apache Arrow IPC. The tool, …
Cloudflare released Clef and Clef-flash, its first models trained by the Workers AI team, as open-weight decision models under Apache 2.0 that return typed probabilities instead of free-form text. Clef is post-trained fr…
NVIDIA released Kumo Tabular, a family of tabular foundation models in Small, Medium, and Large sizes spanning roughly 28M to 215M parameters that predict new rows in a single forward pass with no training, hyperparamete…
Google DeepMind announced Gemini 4 Argon, its first Gemini 4-generation frontier model, which generates up to 1M output tokens in a single response versus 64K on earlier Gemini models and launches at introductory pricing…