In 2026, artificial intelligence is transforming applicant tracking systems (ATS), shifting resume optimization from simple keyword matching to semantic analysis and skills-based scoring. Career ...

An emerging class of data fabrics promises to help automate data integration with and for AI. Bharath Thota, a partner in the ...

Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while ...

AI is being woven into military systems intended to help human commanders make decisions in times of crisis, but there is no real-world data for training machines about nuclear war.

As agentic AI moves from pilots to production, enterprises are discovering that the biggest gaps aren’t in the capabilities ...

Abstract: Combining synthetic aperture radar (SAR) and optical images for geomorphic feature extraction offers a promising solution. However, the significant difference in data distribution between ...

The company’s QaECTER model can retrieve patent data when users use patent-specific language in their search queries.

The offline pipeline's primary objective is regression testing — identifying failures, drift, and latency before production.

Abstract: As a promising 6G enabler beyond conventional bit-level transmission, semantic communication can considerably reduce required bandwidth resources, while its combination with multiple access ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across multimodal tasks. By ...

Previous paradigms vs. our paradigm. Previous paradigms rely on change proposals and are constrained by the segmentation performance of the proposal generator. Meanwhile, both paradigms (a–b) ...