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Google DeepMind Introduces Vision Banana: An Instruction-Tuned Image Generator That Beats SAM 3 on Segmentation and Depth Anything V3 on Metric Depth Estimation

For years, the computer vision community has operated on two separate tracks: generative models (which produce images) and discriminative models (which understand them). The assumption was straightforward — models good at making pictures aren’t necessarily good at reading them. A new paper from Google, titled “Image Generators are Generalist Vision Learners” (arXiv:2604.20329), published April 22,…

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Developers can build with Nano Banana Pro (Gemini 3 Pro Image)

With 2K and 4k resolution available, you can ensure outputs meet resolution standards required for professional production. Effortlessly create cohesive advertisements by combining diverse elements such as product images, logos, and references. Achieve consistent resemblance for up to five individuals, integrate six high-fidelity shots, or blend as many as fourteen standard inputs into a single,…

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I Vibe Coded a Tool to That Analyzes Customer Sentiment and Topics From Call Recordings

Image by Author   #  Introduction   Every day, customer service centers record thousands of conversations. Hidden in those audio files are goldmines of information. Are customers satisfied? What problems do they mention most often? How do emotions shift during a call? Manually analyzing these recordings is challenging. However, with modern artificial intelligence (AI), we…

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Qwen Team Open-Sources Qwen3.6-35B-A3B: A Sparse MoE Vision-Language Model with 3B Active Parameters and Agentic Coding Capabilities

The open-source AI landscape has a new entry worth paying attention to. The Qwen team at Alibaba has released Qwen3.6-35B-A3B, the first open-weight model from the Qwen3.6 generation, and it is making a compelling argument that parameter efficiency matters far more than raw model size. With 35 billion total parameters but only 3 billion activated…

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Gemini 3.1 Flash TTS: New text-to-speech AI model

Today, we’re introducing Gemini 3.1 Flash TTS, the latest text-to-speech model that delivers improved controllability, expressivity and quality — empowering developers, enterprises and everyday users to build the next generation of AI-speech applications. Starting today, 3.1 Flash TTS is rolling out: Improved speech quality and controllability We’ve improved the overall speech quality of Gemini 3.1…

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A Coding Guide to Markerless 3D Human Kinematics with Pose2Sim, RTMPose, and OpenSim

import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D from pathlib import Path import re def parse_trc(trc_path): """Parse a .trc file and return marker names, frame data, and metadata.""" with open(trc_path, 'r') as f: lines = f.readlines() meta_keys = lines[2].strip().split('\t') meta_vals = lines[3].strip().split('\t') …

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