16 × AIAI signal, amplified
AI newsAboutSources
TelegramFollow on Telegram
AI newsAboutSources
16 × AIAI signal, amplified

An AI news engine that ingests trusted sources, scores with Claude, and posts only what clears the bar.

Follow on Telegram →

Subscribe

  • Telegram
  • RSS
  • All channels

Legal

  • Privacy
  • Imprint
© 2026 16 × AI. All rights reserved.Curated by Claude. Posts every 6 hours. No newsletter, no funnel.
Home/Models & Labs
Models & Labs

Microsoft Releases Data Formulator 0.7 for Enterprise Analytics

Microsoft Research·May 28, 2026·high confidence

Why it matters

  • →Data Formulator 0.7 reduces the complexity of integrating fragmented enterprise data sources.
  • →Context-aware agents enable non-experts to perform complex data analyses and visualizations.
  • →The open-source nature allows teams to adapt the system to their specific needs.
Microsoft Releases Data Formulator 0.7 for Enterprise Analytics
©Microsoft Research

Microsoft Research has unveiled Data Formulator 0.7, an open-source AI-powered system designed to enhance enterprise data analytics. This release addresses the challenges of fragmented data workflows by providing a unified workspace that connects various data sources through reusable Data Connectors. The system's context-aware agents assist users in data preparation and visualization, allowing for complex analytical workflows without requiring extensive coding skills. Data Formulator 0.7 aims to streamline enterprise data analysis, making it more efficient and accessible for teams lacking deep technical expertise.

Read original

More from Microsoft Research

AI Extends Human Intelligence, Not Replaces It© Microsoft Research
Researchresearch

AI Extends Human Intelligence, Not Replaces It

Microsoft Research presents a compelling argument that AI systems are not replicating human intelligence but extending it by building on structures inherent in human cognition and language. This perspective helps explain both the capabilities and limitations of AI, such as hallucinations and reasoning breakdowns. The research suggests that AI safety should focus on system-level challenges rather than fears of rogue AI. By understanding AI as an extension of human intelligence, we can build more trustworthy systems that remain grounded in human oversight and governance.

Microsoft Research·May 27, 2026

More in Models & Labs

Models & Labsmodels

vLLM v0.20.2 Patch Release

The vLLM v0.20.2 release is a minor update focusing on bug fixes for DeepSeek V4, gpt-oss, and Qwen3-VL. This patch addresses specific issues such as the MTP=1 hang on DeepSeek V4 by re-enabling the persistent topk path and fixing a KV cache allocation error. For gpt-oss, the update ensures compatibility with MXFP4 under torch.compile, while Qwen3-VL sees the removal of an invalid boundary check. These fixes enhance the stability and performance of the models, ensuring smoother operations under various conditions.

vLLM Releases·May 29, 2026
Models & Labsmodels

Llama.cpp b9387 Release Enhances AMD MFMA Performance

The latest b9387 release of llama.cpp introduces significant performance improvements for AMD MFMA hardware, particularly in quantized matrix multiplication. By optimizing the batch threshold logic, the update allows for more efficient processing, with throughput gains of up to 76% in certain configurations. This release is particularly relevant for users leveraging AMD's MI250X hardware, as it fine-tunes the kernel selection logic to maximize performance. While the update doesn't introduce new models, it significantly enhances the efficiency of existing operations on specific hardware, making it a noteworthy development for those using AMD GPUs.

llama.cpp Releases·May 29, 2026
Models & Labsmodels

llama.cpp b9388 release enhances Turing support

The latest b9388 release of llama.cpp introduces optimizations for Turing architecture, specifically adding MMVQ_PARAMETERS_TURING to improve JIT compilation for SM75 Turing devices. This update aims to prevent mismatches when compiling Turing device code on Ampere or newer architectures. While the release doesn't introduce new models or quantization methods, it continues to expand platform support, including updates for macOS, Linux, and Windows. The focus remains on refining compatibility and performance across diverse hardware configurations, making llama.cpp a more versatile tool for developers.

llama.cpp Releases·May 29, 2026