Teams in all companies lose meeting notes and action items after discussions. This guide builds a permanent fix: Summary of the AI Assembly and Task Scheduler using Claude Code and MCP. It processes the transcripts into organized summaries with tasks, decisions, and calendar reminders, connects to Google Calendar and Gmail, and stores everything in SQLite. … Read more
Neuroscience has long been a divide-and-conquer field. Researchers typically map specific cognitive functions to isolated brain regions—such as movement in area V5 or the surface of the fusiform gyrus—using models designed to summarize experimental paradigms. Although this has provided deep insight, the resulting field is fragmented, lacking a unified framework to explain how the human … Read more
Google has released Gemini 3.1 Flash Live in developer preview with the Gemini Live API in Google AI Studio. This model aims for lower latency, more natural, and reliable real-time voice interaction, serving as ‘Google’s highest quality audio and speech model to date.’ By processing multimodal streams in nature, the release provides a technical basis … Read more
In this tutorial, we work directly with Qwen3.5 models populated with Claude logic and set up a Colab pipeline that allows us to switch between the 27B GGUF variant and the lightweight 2B 4-bit version with one flag. We start by verifying the availability of the GPU, then conditionally install llama.cpp or transformers with bizandbytes, … Read more
In the case of enterprise AI, the bridge between unstructured audio and physical text is often a bottleneck of proprietary APIs and complex pipelines. Today, Cohere—a company generally known for its text generation and embedding models—has officially entered the Automatic Speech Recognition (ASR) market with the release of its latest model ‘.Cohere Transcribe‘. Architecture: Why … Read more
Tencent AI Lab has been released Covo-Audioparameter 7B-end-to-end Large Audio Language Model (LALM). The model is designed to integrate speech processing and language intelligence by directly processing continuous audio input and generating audio output within a single architecture. System Architecture The Covo-Audio framework consists of four main components designed for seamless cross-modal interoperability: Audio encoder: … Read more
def parse_click_coords(action_str): “”” Extract normalised (x, y) coordinates from a click action string. e.g., ‘click(0.45, 0.32)’ -> (0.45, 0.32) Returns None if the action is not a click. “”” match = re.search(r”click(s*([d.]+)s*,s*([d.]+)s*)”, action_str) if match: return float(match.group(1)), float(match.group(2)) return None def parse_action_details(action_str): “”” Parse a MolmoWeb action string into a structured dict. Returns: {“type”: “click”, … Read more
My biggest complaint with AI solutions is that they are too dependent on my presence in any activity. Even with agent AI now in the mix, complete automation of any complex process still seems like a myth. Tools like n8n and make.com require a lot of setup time and are not as efficient as traditional … Read more
After training Large-scale Language Modelers (LLMs) for long-horizon agent tasks—such as software engineering, web browsing, and the use of complex tools—they present a constant trade-off between computational efficiency and modeling in general.. Although Supervised Fine-Tuning (SFT) is computationally cheap, it often suffers from out-of-domain (OOD) performance degradation and struggles to generalize beyond its training distribution.. … Read more
The scaling of large-scale language models (LLMs) is increasingly constrained by the memory interface between High-Bandwidth Memory (HBM) and SRAM. In particular, the Key-Value (KV) cache scales with model size and context length, creating a significant bottleneck for long content interpretation. Google’s research team made a proposal TurboQuanta data-insensitive estimation framework designed to achieve very … Read more