Google's Gemma 4 12B brings multimodal AI — audio, video, and text — to a standard 16GB laptop in 2026. No cloud required. Here's what it does and why it matters.

Abstract: Urban sound classification has become a critical enabling technology for Internet of Things (IoT) applications, smart cities, and environmental monitoring systems. Despite advances in deep ...

Abstract: With the increasing popularity of audio recording devices and recognition technology, audio data is increasingly used in speech recognition, event detection, and biometric authentication.

Unlike human beings who often learn for the intrinsic value of knowing something, machine-learning is almost always purpose-driven. Your job as the machine's developer is to determine what that ...

Google has been introducing many products around its AI Gemini. One such product is the Google AI Studio—a powerful platform designed for developers, data scientists, and other AI enthusiasts who want ...

welcome to this comprehensive course on analyzing multimodal data using the latest advancements in large language models and python you'll explore the capabilities of the gp4 Omni model which excels ...

On Monday, OpenAI debuted GPT-4o (o for “omni”), a major new AI model that can ostensibly converse using speech in real time, reading emotional cues and responding to visual input. It operates faster ...

NOTE: this repository is no longer maintained. The timbral models can however be still installed by cloning the repository and running pip install (see below) The timbral models were devleoped by the ...

Here we developed an open-source Python-based library called Python rodent Analysis and Tracking (PyRAT). Our library analyzes tracking data to classify distinct behaviors, estimate traveled distance, ...

Based on the East Coast, Joshua Ko has been an automotive writer for MakeUseOf for over a year and is a die-hard European car enthusiast. He primarily covers car tips and tricks and DIYs. After ...

import numpy as np import cv2 import matplotlib.pyplot as plt #detecting license plate on the vehicle plateCascade = cv2.CascadeClassifier('indian_license_plate.xml') def plate_detect(img): plateImg = ...