General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document review cycles from 60 days to 10.

Training deep learning models for semantic occupancy prediction is challenging due to factors such as a large number of occupancy cells, severe occlusion, limited visual cues, complicated driving ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...

Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

AI will not replace dashboards; instead, analytics is evolving into a hybrid model combining dashboards, semantic layers, and conversational AI.

Multimodal intent recognition aims to infer human intents by jointly modeling various modalities, playing a pivotal role in real-world dialogue systems. However, current methods struggle to model ...

Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...

Operational autonomy is quickly becoming one of the defining capabilities of a modern enterprise. As digital estates become ...

July 2nd, 2026 Vexcel Brings Aerial Imagery and Geospatial Intelligence to AI Platforms. Rating 1 2 3 4 5; Access Vexcel imagery and geospatial data within any MCP-compatible AI p ...

A new framework called SkillWeaver tackles AI agent tool routing by skipping full-library loading, cutting token use 99% on ...

Using Real-Time Quantitative Data Saturation Analysis to Enhance the Rigor of Qualitative Research: A Decision-Making Perspective. Open Journal of Business and Management, 14, 1921-1929. doi: ...