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As Black Friday arrives again, its time to consider getting something new. If that something happens to be a reliable assistant for home cleaning, consider this Dyson 360 Vis Nav, one of our choices for the best robot vacuums. This is the first time its been discounted since Dyson started selling these earlier this year. We put this robot vacuum through its paces, and you can see the results in our Dyson 360 Vis Nav review. It managed to suck up an impressive amount of dog hair in our tests and has 360-degree vision augmented with LED lights to prevent collisions and accidents. While not perfect, it only hit chair legs a couple of times. On top of this, the robot has more than enough sensors and memory to remember your rooms layout. Even if youre not home, you can tell the vacuum to start cleaning up if youve connected it to your MyDyson app. It compiles deep clean reports and other useful information to help you find the right settings for better results in the future. Sadly, it doesnt have a self-emptying base, but the debris ejection process is straightforward. Check out all of the latest Black Friday and Cyber Monday deals here.This article originally appeared on Engadget at https://www.engadget.com/deals/dyson-black-friday-deals-include-the-360-vis-nav-robot-vacuum-for-200-off-143634325.html?src=rss
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NVIDIA has debuted a new experimental generative AI model, which it describes as "a Swiss Army knife for sound." The model called Foundational Generative Audio Transformer Opus 1, or Fugatto, can take commands from text prompts and use them to create audio or to modify existing music, voice and sound files. It was designed by a team of AI researchers from around the world, and NVIDIA says that made the model's "multi-accent and multilingual capabilities stronger." "We wanted to create a model that understands and generates sound like humans do," said Rafael Valle, one of the researchers behind the project and a manager of applied audio research at NVIDIA. The company listed some possible real-world scenarios wherein Fugatto could be of use in its announcement. Music producers, it suggested, could use the technology to quickly generate a prototype for a song idea, which they can then easily edit to try out different styles, voices and instruments. People could use it to generate materials for language learnings tools in the voice of their choice. And video game developers could use it to create variations of pre-recorded assets to fit changes in the game based on the players' choices and actions. In addition, the researchers found that the model can accomplish tasks not part of its pre-training, with some fine-tuning. It could combine instructions that it was trained on separately, such as generating speech that sounds angry with a specific accent or the sound of birds singing during a thunderstorm. The model can generate sounds that change over time, as well, like the pounding of a rainstorm as it moves across the land. NVIDIA didn't say if it will give the public access to Fugatto, but the model isn't the first generative AI technology that can create sounds out of text prompts. Meta previously released an open source AI kit that can create sounds from text descriptions. Google has its own text-to-music AI called MusicLM that people can access through the company's AI Test Kitchen website. This article originally appeared on Engadget at https://www.engadget.com/ai/nvidias-new-ai-model-fugatto-can-create-audio-from-text-prompts-140017297.html?src=rss
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Raspberry Pi has announced the Pico 2 W, a wireless version of its Pico 2 microcontroller board built for hobbyists and industrial applications. At $7, it's a relatively inexpensive way to control electronic devices like smart home gadgets and robots. With the new version, users will be able to securely link to remote sources to send and receive data, either via Bluetooth 5.2 or Wi-Fi 802.11n. As with the Pico 2, the wireless variant is built around the RP2350 microcontroller built in-house by Raspberry Pi. it offers more speed and memory than the original RP2040 chip, along with a security model built around Arm's TrustZone for Cortex-M. Users can program it using C, C++ and MicroPython, and choose between Arm Cortex-M33 or RISC-V cores. There are many potential use cases for the Pico 2 W, like smart home control that can link to external devices (plugs, lights, etc.) over Wi-Fi, robotics and science experiments. It's now available for hobbyists from a variety of sources at $7.00 for the board only, $21 for a basic kit or $31 for the starter kit. You can see them here when you select the Pico 2 W option at the bottom of the page. This article originally appeared on Engadget at https://www.engadget.com/computing/raspberry-pis-7-pico-2-w-microcontroller-board-adds-wireless-connectivity-130001976.html?src=rss
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