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…
NVIDIA today announced collaborations with leading global healthcare and research organizations to advance protein design — including through a newly released open model, RFD4-Proteina — accelerate drug discovery and bring greater precision to cancer care.
As demand for artificial intelligence (AI) chips surges, competition among global semiconductor manufacturers to secure production equipment is expected to ext
Tencent Smart Retail, Tencent Cloud’s smart retail service, highlighted how artificial intelligence (AI) is reshaping the retail industry and shared how retailers across Asia are leveraging AI, dat…
Azoma (Techstars 2023) has raised an $11.2M Series A to help consumer brands get their products discovered and recommended by AI shopping agents like ChatGPT, Alexa for Shopping, and Walmart Sparky.
Every capability claim this week arrived vendor-reported. The one document that tells the truth about risk is a license that disclaims the model's output and assigns the bill to the deployer.
Ahead of the November 3rd midterm elections, Virginia Senator Mark Warner is calling out 25 of the biggest tech companies on AI regulation. Senator Warner said he
The company will use the fresh capital to expand its footprint, strengthen its technology and artificial intelligence (AI) capabilities, and enter new markets, including Andhra Pradesh, Priyadarshi Mohapatra,
Multimodal large language models (MLLMs) are increasingly explored as interfaces for scientific image analysis, where a visual question-answering (VQA) response may be paired with a spatial output that guides a downstream stage. A supervisor reads the language answer, while a…
Three-dimensional (3D) multi-contrast magnetic resonance imaging (MCMRI) provides rich anatomical and quantitative information but requires long acquisition times, motivating k-space undersampling. However, reconstruction of large volumetric datasets imposes substantial…
Music festival lineups emerge from complex relationships among artists, genres, releases, labels, and past performances, making the prediction of future lineups a natural fit for temporal knowledge graph (TKG) forecasting. In this work, we present a TKG covering 380 festivals…
Using a Large Language Model (LLM) as the clusterer at production scale is hard: prompts cannot hold the entire label space, and per-document serial processing does not deliver the throughput real workloads require. We present RAILS, a retrieval-augmented incremental LLM…