News • YouTube • Podcasts, Automatically Curated
Your Daily Feed of AI in HR Innovation
News • YouTube • Podcasts, Automatically Curated
Your Daily Feed of AI in HR Innovation
Anthropic suspends latest AI models after US blocks access to foreigners
Trump administration directs company to limit access to foreign nationals on national security grounds
How AI is disrupting investment
The technology is leading to a fundamental shift in the way investors allocate funds and diversify risks across every asset class
The Week’s 10 Biggest Funding Rounds: NinjaOne Leads With $400M As Large Deals Also Go To Blockchain, Cloud Infrastructure, Biotech And Robotics
In the U.S., the largest financings went to enterprise software company NinjaOne and blockchain technology provider Digital Asset. The largest deals of the week, however, were for European companies.
Google Releases Gemini-SQL2: Gemini 3.1 Pro Text-to-SQL Scores 80.04% on BIRD Single-Model Leaderboard
We look at Gemini-SQL2, the text-to-SQL capability Google Research announced on June 12, 2026. Powered by Gemini 3.1 Pro, it posted 80.04% execution accuracy on the BIRD single-model leaderboard. We explain what the score measures, how the leaderboard stacks up, and what Google has not yet disclosed. We also cover use cases and a schema-grounded implementation pattern.
The post Google Releases Gemini-SQL2: Gemini 3.1 Pro Text-to-SQL Scores 80.04% on BIRD Single-Model Leaderboard appeared first on MarkTechPost.
A Coding Implementation on Spatial Graph Neural Networks for Urban Function Inference Using city2graph, OSMnx, and PyTorch Geometric
We build an end-to-end spatial graph learning pipeline using city2graph. We collect urban POI and street network data from OpenStreetMap, with a synthetic fallback for reliability. We engineer spatial features, construct several proximity graph families, and compare how each represents the same urban environment. We then build heterogeneous and homogeneous graphs, convert them to PyTorch Geometric, and train a GraphSAGE model to predict POI categories from spatial structure.
The post A Coding Implementation on Spatial Graph Neural Networks for Urban Function Inference Using city2graph, OSMnx, and PyTorch Geometric appeared first on MarkTechPost.
Moonshot AI Releases Kimi K2.7-Code: a Coding Model Reporting +21.8% on Kimi Code Bench v2 Over K2.6
Moonshot AI has open-sourced Kimi K2.7-Code under a Modified MIT license. It is a coding-focused, agentic model built on Kimi K2.6, with a 256K context window and roughly 30% lower reasoning-token usage. Moonshot reports gains over K2.6 on six benchmarks, including +21.8% on Kimi Code Bench v2. The model is available via the Kimi API and Kimi Code.
The post Moonshot AI Releases Kimi K2.7-Code: a Coding Model Reporting +21.8% on Kimi Code Bench v2 Over K2.6 appeared first on MarkTechPost.
