DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete…
Startup Recursive has released Flint, a free, laptop-sized coding model built largely by its own AI research system, as an early test of AI that improves itself.
Released on October 22, 2026, DDIA shares our latest findings from a Pre-Midterm Election Poll of 1,500 U.S. Latino Voters on AI use, trust, and impact in their lives.
Labour says the government's AI readiness is 'terrifying', then proposes banning a technology that does not exist. Meanwhile the AI already running payroll, marketing and customer service still lacks clear rules.
Startup Recursive has released Flint, a free, laptop-sized coding model built largely by its own AI research system, as an early test of AI that improves itself.
Oct 21 (Reuters) - Anthropic on Thursday unveiled Claude Duet, a standalone AI agent app designed to act as a proactive assistant for professionals and small-business owners, as rivals such as OpenAI and Meta race to develop AI agents that can complete work autonomously on users' behalf.
On-device inference is booming, but the momentum is almost all in language models. Diffusion pipelines are memory hungry, latency-sensitive, and require orchestrating an embedder, a transformer, a decoder, and often further postprocessing that is not as standardized as LLM…
Long transcripts are costly inputs for downstream NLP systems and often contain irrelevant context. We study query-conditioned topic localization: predicting the sentence span in a transcript that best addresses a topic-title query. To improve span localization, we reuse ASR…
Frontier language models now produce professional deliverables that expert graders judge to match human work on a substantial share of economically valuable tasks, yet most enterprise GenAI initiatives fail to show a measurable business effect and a large fraction of agentic…
Clustering high-dimensional data is a fundamental task in unsupervised machine learning with applications to a variety of domains. In the centralized data scenario, this task is commonly solved using deep clustering methods that utilize deep neural network architectures to…