Turning My Real-Time Plant Tracker into a Chatbot Dashboard
How I taught my live sensor app to answer back, mixing Node.js, JavaScript, and a sprinkle of AI.
Continue reading on Artificial Intelligence in Plain English »
How I taught my live sensor app to answer back, mixing Node.js, JavaScript, and a sprinkle of AI.
Continue reading on Artificial Intelligence in Plain English »
The Pentagon has opened the military AI floodgates and handed out contracts worth up to $800 million to four of the biggest names: Google, OpenAI, Anthropic, and Elon Musk’s xAI. Each company gets a shot at $200 million worth of work. Dr Doug Matty, Chief Digital and AI Officer, said: “The adoption of AI is…
Solomon AI Limited, a number one innovator in superior synthetic intelligence, and VR Solutions LLC, a outstanding expertise supplier in Azerbaijan, at this time introduced a strategic partnership geared toward accelerating the adoption of cutting-edge Agentic AI options throughout Central Asia. This collaboration aligns with the broader imaginative and prescient of the Belt Road Initiative (BRI), fostering…
In this tutorial, we’ll explore a range of SHAP-IQ visualizations that provide insights into how a machine learning model arrives at its predictions. These visuals help break down complex model behavior into interpretable components—revealing both the individual and interactive contributions of features to a specific prediction. Check out the Full Codes here. Installing the dependencies Copy…
Neuphonic has launched NeuTTS Air, an open-source text-to-speech (TTS) speech language mannequin designed to run regionally in actual time on CPUs. The Hugging Face model card lists 748M parameters (Qwen2 structure) and ships in GGUF quantizations (This fall/Q8), enabling inference by way of llama.cpp/llama-cpp-python with out cloud dependencies. It is licensed underneath Apache-2.0 and features…
Why it matters: AI Disruption Spurs Regulation and Layoffs explores how automation is driving compliance shifts and job cuts globally.
Liquid AI has launched LFM2-Audio-1.5B, a compact audio–language basis mannequin that each understands and generates speech and textual content via a single end-to-end stack. It positions itself for low-latency, real-time assistants on resource-constrained units, extending the LFM2 household into audio whereas retaining a small footprint. https://www.liquid.ai/weblog/lfm2-audio-an-end-to-end-audio-foundation-model But what’s really new? a unified spine with disentangled…