Natural Language Processing news and analysis on Web Pulse: 5526 curated articles tracking the latest Natural Language Processing developments, tools, and research, updated continuously from vetted sources.
A self-taught AI engineer and amateur linguist claimed a breakthrough in deciphering Linear A, the undeciphered writing system of the Bronze Age Minoan civilization, by using AI-built programming scripts to test a hypoth…
OpenAI released GPT Transcribe and GPT Live Transcribe, two new speech recognition models available through its API, with GPT Transcribe achieving a 3.31 percent word error rate on the AA-WER benchmark, a 0.7 percentage …
Echologue, a private AI voice journal built by an anonymous developer, stores all data on-device and uses zero-data-retention endpoints for AI inference, allowing users to ask natural-language questions about their entri…
ElevenLabs has expanded its ElevenAgents platform to support omnichannel deployment across phone, web, WhatsApp, SMS, Telegram, Slack, and ticketing systems including Zendesk, Intercom, and Freshdesk. The update enables …
A year-long study of 15.7 million AI Mode citations across 148 industries by SEO tool Pillarbase reveals that Google's AI Mode cites specific passages rather than entire pages, with 47.7% of citations being scroll-to-tex…
Oye Collective has built a local PII detection feature for coding agent transcripts that scans for secrets without sending data to the cloud. The system combines regex for structured tokens like API keys with a quantized…
Trustample, an AI transcription platform, implemented a simple arithmetic check to verify its own output after a user uploaded a Spanish recording that was processed as English, producing a nearly empty transcript withou…
HBO Max launches a TikTok-style vertical short-form feed called 'HBO Max Shorts' for iOS users in the US and an experimental AI search feature 'Ask HBO Max' for Android users aged 18 and older, parent company Warner Bros…
Google announced that Gemini in Google Docs can now read, understand, and take action based on comments, including summarizing comments, identifying key themes, responding to threads, and suggesting changes. The rollout …
Liquid AI released two open-weight bidirectional encoders, LFM2.5-Encoder-230M and LFM2.5-Encoder-350M, built on the LFM2 hybrid backbone with an 8,192-token context. The 350M model achieves a 17-task mean of 81.02, rank…
A Communications Psychology study published April 28 analyzed 3,366 dream and waking-experience reports from 207 adults, plus 351 dream reports from 80 adults during Italy's first COVID-19 lockdown, finding associations …
Agenmatic, an AI lead generation platform, monitors 40+ online communities in real time to detect buying signals and helps service providers turn high-intent prospects into clients, claiming 10x+ response rates versus co…
A product manager developing a business matching system using similarity search is advised to adopt retrieval-augmented generation (RAG) and combine embeddings with structured metadata such as industry, location, and ser…
A Hugging Face user asks for the best method to extract services from free text, citing a rule-based approach with synonym dictionaries and negation detection as a starting point, with NLP or zero-shot models as a potent…
Researchers trained a multi-label classifier on a curated gold dataset of 1,207 CVEs from expert MITRE Center for Threat-Informed Defense mappings, achieving recall@5 of 0.673 ± 0.019 for mapping CVEs to MITRE ATT&CK tec…
A new arXiv preprint (2607.25202v1) presents a cross-lingual analysis of conversational entrainment in Mandarin-English, Hindi-English, and Spanish-English code-switched speech, finding that lexical entrainment generaliz…
A new study on arXiv (2607.24784v1) finds that large language models (LLMs) can assist specialised translators in finding equivalents from English to French but cannot replace specialised corpora. Researchers evaluated G…
A deep neural model combining multi-layer temporal convolution networks with label-wise attention improves medical coding accuracy, achieving a 9% increase in F-1 scores and a 28% increase in recall over the previous sta…
A new study evaluating large language models' ability to recognize unspoken beliefs through implicature recognition and cancellation finds that LLMs lag behind humans, especially in natural scenarios. Researchers created…
A new study from arXiv:2607.25335 shows that linguistic rules alone can serve as effective prompt compressors for large language models, reducing inference costs without requiring LM-based scoring at compression time. Th…