When you purchase through links in our articles, we may earn a small commission. SD cards cost way more now. Here's how to make yours last Memory card prices have jumped. Get the most out of yours by understanding how they die and what you can do to keep them going. Thanks to AI data centers, consumer SSDs, flash drives, and SD/microSD cards have doubled or even tripled in price.

PCWorld demonstrates using Google's Gemini AI to diagnose Plex Media Server issues through a systematic four-phase checkup process.

When you purchase through links in our articles, we may earn a small commission. Picochess is a chess program for the Raspberry Pi that you can use to carry out analyses, train openings, and master games. The Picochess chess program already has a long and storied history behind it--something you should be aware of if you're looking to download and use it to play chess with on Raspberry Pi. After years of development, version 1.0 was released in 2019, but only offered minor improvements compared to 0.9N. This was followed by version 2.01 at the beginning of 2020 and 3.0 towards the end of the year.

Save big on back to school and dorm room essentials on Amazon. During the back-to-school shopping season, you can find deep discounts on top brands on Amazon. Now is your chance to stock up on school supplies, backpacks and dorm room essentials for up to 50% off the list price. Get your back-to-school discounts delivered in time for the first day by signing up for a Prime membership. The benefits include fast, free delivery, access to invite-only deals and the option to Buy With Prime. Most purchases can be delivered to your door in 24 hours if you're an Amazon Prime member.

Recent advancements in IoT technologies have underscored the importance of using sensor data to understand environmental contexts effectively. This paper introduces a novel embedded system designed to autonomously label sensor data directly on IoT devices, thereby enhancing the efficiency of data collection methods. We present an integrated hardware and software solution equipped with specialized labeling sensors that streamline the capture and labeling of diverse types of sensor data. By implementing local processing with lightweight labeling methods, our system minimizes the need for extensive data transmission and reduces dependence on external resources. Experimental validation with collected data and a Convolutional Neural Network (CNN) model achieved a high classification accuracy of up to 91.67%, as confirmed through 4-fold cross-validation. These results demonstrate the system's robust capability to collect audio and vibration data with correct labels.

Teledyne Technologies Inc. (NYSE:TDY) is one of the holdings in the AdvisorShares Drone Technology ETF [NYSE ARCA:UAV], the only ETF dedicated to the drone economy. The AdvisorShares Drone Technology ETF is a thematic investment strategy seeking to capture the growth opportunities in drones and autonomous vehicles (AV). AdvisorShares is a DRONELIFE sponsor." Teledyne FLIR is a global name in thermal and visible imaging. With SIRAS, Teledyne FLIR has equipped a reliable, user-friendly drone with their world-class imaging solutions, including visible and thermal cameras; and features designed to meet the security needs of public safety and government agencies – all with U.S.-based service and support. Product Manager Kelly Brodbeck explains that SIRAS was developed around the end user. "We maintain focus groups with end users all the time," he says. "We benefit from all of our contacts – we're constantly talking to people and looking for consistencies across their areas of expertise: public safety, oil and gas, industry." The decision not to use geofencing was the direct result of user feedback. "This is about giving the pilot control: for public safety in particular, users really don't want geofencing – that's just unacceptable.

If you have an internet-connected board, you can now load Tensorflow Lite Tinyml models on-demand directly from the internet! Let's see how in this tutorial. A few days ago I showed you how to load Tensorflow Lite Tinyml models from an SD card in Arduino. If your board has internet connectivity (either Ethernet or Wifi), you may want to load different models as per user needs, or maybe you host your own models and want to keep them updated so they improve the end user experience without requiring firmware update. Whatever your use-case, it really is very easy to download a model from the internet, much similar to how we did for the SD card.

Get great prices on the things you actually want. If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. In my opinion, there couldn't be anything more exciting than waking up to a great deal on a product you actually want. And this morning, I woke up to several on Amazon.

We are losing biodiversity at an unprecedented scale and in many cases, we do not even know the basic data for the species. Traditional methods for wildlife monitoring are inadequate. Development of new computer vision tools enables the use of images as the source of information about wildlife. Social media is the rich source of wildlife images, which come with a huge bias, thus thwarting traditional population size estimate approaches. Here, we present a new framework to take into account the social media bias when using this data source to provide wildlife population size estimates. We show that, surprisingly, this is a learnable and potentially solvable problem.

This RetroPie really happened: Watch (above) as our own Adam Patrick Murray and Alaina Yee build a RetroPie system after they weren't able to buy an SNES Classic. Go ahead, laugh at (and learn from) our mistakes. For the past 20 years, retrogaming enthusiasts have dreamed of building a "universal game console" capable of playing games from dozens of different systems. Their ideal was inexpensive, easy to control with a gamepad, and capable of hooking into a TV set. Thanks to the Raspberry Pi 3 hobbyist platform and the RetroPie software distribution, that dream is finally possible. For under $110, you can build a very nice emulation system that can play tens of thousands of retro games for systems such as the NES, Atari 2600, Sega Genesis, Super NES, Game Boy, and even the PlayStation. All you need to do is buy a handful of components, put them together, and configure some software. You'll also have to provide the games, but we'll talk about that later.