The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most important words and phrases you might encounter.
This is a summary curated by AIFuture. Read the complete article at the original source:
Read the full story on TechCrunchWe look at r-1, the document parsing model Reducto released on September 1, 2026. We walk through how it folds OCR, layout detection, tables, formatting and grounding into one full page pass, replacing the multi stage agentic pipeline it ships alongside. We break down the two numbers that matter for a migration decision: a reported 20% error reduction and a flat 1 cent per page rate against the…
Sep 8, 2026
OpenBMB has released MiniCPM5-2B, a dense causal language model with 2,516,756,480 parameters and a native 131,072 token context. It averages 53.9 across the 34 benchmarks in its model card, ahead of Qwen3.5-4B at 51.1, with its clearest leads in tool use, coding agents and long-context retrieval. Post-training pairs 400B tokens of deep-thinking SFT with RL teachers and on-policy distillation…
Sep 7, 2026
Robot datasets have grown far slower than the models trained on them, mostly because collection stays locked to lab hardware. AXIS moves demonstration collection into a web browser and pushes everything expensive to backend GPUs. The result is 207 tasks and 50,129 verified Franka trajectories, and continual pretraining that lifts π0.5 from 83.9 to 88.8 on LIBERO-Plus while a volume-matched…
Sep 7, 2026
Andrew Ng's flagship program covering supervised and unsupervised learning, neural networks, and best practices for real-world ML.
Harvard's deep dive into the algorithms behind modern AI — search, knowledge, optimization, and machine learning.
Andrew Ng explains how generative AI works and how to apply it in your work and life — no coding required.
Get the most important AI news and course picks in your inbox.