Why do they even bother with ads like this? If your gun doesn’t “look like a toy” you’re still going to jail for having a gun at all in nyc
submitted by /u/bigdonut100 [link] [comments]
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Checking the quality of materials just got easier with a new AI tool
Manufacturing better batteries, faster electronics, and more effective pharmaceuticals depends on the discovery of new materials and the verification of their quality. Artificial intelligence is helping with the former, with tools that comb through catalogs of materials to quickly tag promising candidates. But once a material is made, verifying its quality still involves scanning it with specialized instruments to validate its performance — an expensive and time-consuming step that can hold up the development and distribution of new […]
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BondingAI Acquires GenAItechLab, Add Core Team Members
BondingAI acquisition of GenAItechLab.com was recently completed, including all the IP related to the xLLM technology, the material published on MLtechniques and the most recent technology pertaining to deep neural networks watermarking. GenAItechLab was founded in 2024 by Vincent Granville, a world-class leader and well-known scientist building innovative and efficient AI solutions from scratch, hallucination-free, without Blackbox or GPU, yet delivering better results faster. Doctor Granville is now Chief AI Architect, co-founder and investor at BondingAI. In the […]
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The Machine Learning “Advent Calendar” Day 13: LASSO and Ridge Regression in Excel
Ridge and Lasso regression are often perceived as more complex versions of linear regression. In reality, the prediction model remains exactly the same. What changes is the training objective. By adding a penalty on the coefficients, regularization forces the model to choose more stable solutions, especially when features are correlated. Implementing Ridge and Lasso step by step in Excel makes this idea explicit: regularization does not add complexity, it adds preference. The post The Machine Learning “Advent Calendar” […]
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The Complete Guide to Using Pydantic for Validating LLM Outputs
Large language models generate text, not structured data.
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Introducing GPT-5.2
GPT-5.2 is our most advanced frontier model for everyday professional work, with state-of-the-art reasoning, long-context understanding, coding, and vision. Use it in ChatGPT and the OpenAI API to power faster, more reliable agentic workflows.
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CA Fires Spotlight Licensing Carriers for Inmates
California’s recent wildfires were fought by over 780 inmate firefighters who received rigorous taxpayer-funded training. But until recent reforms, many of these trained firefighters faced insurmountable barriers to employment after release—state licensing laws blocked them from the very careers they’d prepared for. lead , Cato scholar Stephen Slivinski examines this issue in a new Washington Post opinion piece, revealing how occupational licensing laws create employment barriers for 70 million Americans with criminal records. The evidence is clear: employment is […]
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Cisco Released Cisco Time Series Model: Their First Open-Weights Foundation Model based on Decoder-only Transformer Architecture
Cisco and Splunk have introduced the Cisco Time Series Model, a univariate zero shot time series foundation model designed for observability and security metrics. It is released as an open weight checkpoint on Hugging Face under an Apache 2.0 license, and it targets forecasting workloads without task specific fine tuning. The model extends TimesFM 2.0 with an explicit multiresolution architecture that fuses coarse and fine history in one context window. https://arxiv.org/pdf/2511.19841 Why observability needs multiresolution context? Production metrics […]
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New tool makes generative AI models more likely to create breakthrough materials
The artificial intelligence models that turn text into images are also useful for generating new materials. Over the last few years, generative materials models from companies like Google, Microsoft, and Meta have drawn on their training data to help researchers design tens of millions of new materials. But when it comes to designing materials with exotic quantum properties like superconductivity or unique magnetic states, those models struggle. That’s too bad, because humans could use the help. For example, […]
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GraphRAG in Practice: How to Build Cost-Efficient, High-Recall Retrieval Systems
Smarter retrieval strategies that outperform dense graphs — with hybrid pipelines and lower cost The post GraphRAG in Practice: How to Build Cost-Efficient, High-Recall Retrieval Systems appeared first on Towards Data Science.
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