Nerf was inducted into the National Toy Hall of Fame Friday, as the longtime fan favorite secured its legacy as one of the greatest toys of all time. Nerf blasters were the coveted toy of any 90s child, and its foam balls, originally released in the 1960s, unleashed indoor sports for countless children when the…
One of the major benefits of certain artificial intelligence models is that they can speed up menial or time-consuming tasks —- and not just to whip up terrible “art” based on a brief text input. University of Leeds researchers have unveiled a neural network that they claim can map an outline of a large iceberg in just 0.01 seconds.
Scientists are able to track the locations of large icebergs manually. After all, one that was included in this study was the size of Singapore when it broke off from Antarctica a decade ago. But it’s not feasible to manually track changes in icebergs’ area and thickness — or how much water and nutrients they’re releasing into seas.
“Giant icebergs are important components of the Antarctic environment,” Anne Braakmann-Folgmann, lead author of a paper on the neural network, told the European Space Agency. “They impact ocean physics, chemistry, biology and, of course, maritime operations. Therefore, it is crucial to locate icebergs and monitor their extent, to quantify how much meltwater they release into the ocean.”
Until now, manual mapping has proven to be more accurate than automated approaches, but it can take a human analyst several minutes to outline a single iceberg. That can rapidly become a time- and labor-intensive process when multiple icebergs are concerned.
The researchers trained an algorithm called U-net using imagery captured by the ESA’s Copernicus Sentinel-1 Earth-monitoring satellites. The algorithm was tested on seven icebergs. The smallest had an area roughly the same as Bern, Switzerland and the largest had approximately the same area as Hong Kong.
With 99 percent accuracy, the new model is said to surpass previous attempts at automation, which often struggled to tell the difference between icebergs and sea ice and other features. It’s also 10,000 times faster than humans at mapping icebergs.
“Being able to map iceberg extent automatically with enhanced speed and accuracy will enable us to observe changes in iceberg area for several giant icebergs more easily and paves the way for an operational application,” Dr. Braakmann-Folgmann said.
This article originally appeared on Engadget at https://www.engadget.com/a-neural-network-can-map-large-icebergs-10000-times-faster-than-humans-212855550.html?src=rss
The holidays have begun and hot off the end of the SAG-AFTRA strike, actor David Harbour was excited to talk about his DC Studios future.
Santa Cruz has released the 8th gen. of its renowned V10 downhill mountain bike, offering unprecedented adjustability for optimal performance on varied terrains. The V10 boasts three distinct adjustments, each featuring three settings, allowing riders to fine-tune the bike to match specific riding styles or trail conditions.
These adjustments include a rear axle flip chip, a lower link flip chip, and a reach adjust headset cup. The rear axle flip chip facilitates changes in the rear axle position, supported by a single rear brake mount equipped with a slider to accommodate different rotor positions.
The CC carbon frame, featuring in-molded routing tunnels, continues the proven VPP suspension design, providing 208mm of travel. Notably, the suspension kinematics have been enhanced to deliver an improved riding experience, coupled with increased frame stiffness to enhance traction across various sizes.
In terms of geometry, the V10 is offered in four sizes, with the S-L sizes featuring an MX wheel setup (29″ front and 27.5″ rear), while the XL size utilizes full 29″ wheels. All sizes incorporate a longer reach for a more contemporary fit.
The V10 v8 is available in two builds: DH S and DH X01, priced at $6,799 and $8,599, respectively. Additionally, there is a frame-only option available for $3,799.
Santa Cruz’s latest V10 iteration combines years of refinement with cutting-edge adjustability, making it a versatile and customizable downhill mountain bike catering to the preferences of diverse riders. The pricing options offer riders flexibility in choosing the build that aligns with their budget and performance requirements.
Santa Cruz Introduces 8th Gen V10 Downhill Bike With Advanced Adjustability
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The “Midnights” singer received six nominations in all.
We’re going to be waiting a long while before Geralt’s live-action adventures—complete with a new face—continue on Netflix. But that’s not to say the Witcher won’t be witching any time soon either, thanks to a new movie—starring a very familiar voice.
If you’re behind on what’s happening with the robot uprising, have no fear. Here’s a quick look at some of the weirdest and wildest artificial intelligence news from the past week. Also, don’t forget to check out our weekly AI write-up, which will go into more detail on this same topic.
In an effort to secure precious access to low Earth orbit, the European Space Agency (ESA) signed an agreement with Airbus and Voyager Space for the use of their commercial space station which is currently under development as a replacement for the International Space Station (ISS).
OpenAI is rolling out a new partnership program to collect datasets from third parties that it intends to use to train its AI models. The initiative, OpenAI Data Partnerships, will seek large-scale private and public information that it says is “not already easily accessible online to the public.” The company says the data it will collect doesn’t necessarily have to be quantitative or in text formats — the program will also accept images, audio or video.
Notably, the company says it’s on the lookout for data on “any topic” and in “any language” so long as it “expresses human intention,” which it likens to long-form essays or transcribed conversations. Human-centric data collected by OpenAI is expected to help the company improve tools like its automatic speech recognition technology which is used to transcribe spoken words. This initiative also lines up with ChatGPT’s recent expansion to support voice queries to engage with users in a conversational manner. Exposing its AI models to more information that teaches it how to hold up human-like conversations will only further improve this feature and other tools that will follow in function.
Announcing OpenAI Data Partnerships — help steer the future of AI by collaborating on public and private datasets with us. https://t.co/4tbi5SZ6sS
— OpenAI (@OpenAI) November 9, 2023
The model testing conducted throughout the data partnership program will also naturally expand the capabilities of OpenAI’s consumer-facing GPT-4 Turbo, which has been updated to provide users with more complex and meaningful responses. OpenAI says it has already started working with interested organizations, including authoritative bodies like the Icelandic government. Through curated datasets, OpenAI says its working to improve GPT-4’s ability to comprehend queries made in the Icelandic language.
If a private or public organization wants to participate in the program, a representative can submit a form on the company’s website and share information on the data type and size that they intend to share. There are two pathways for datasets. The first is the Open-Source archive, which is ideal for datasets relevant to training language models. However, submissions made to it will be public for anyone to use. Alternatively, OpenAI says a company can submit information through its private dataset pathway which will be funneled to train proprietary AI models, which the company says includes their “foundation models” and “fine-tuned and custom models.” This is recommended for companies or institutions that want to keep their data confidential. But in that same regard, OpenAI says it is not looking for datasets that contain sensitive or personal information.
ChatGPT has already set records for its soaring user base. It has about 100 million weekly active users around the world, meaning privacy will only continue to be a focal point for the tool. Previously, Samsung employees were put in the hot seat for leaking sensitive data to the AI model. While OpenAI claims it does not use data generated by its API to train its models unless a user explicitly submits information through an opt-in form, all eyes will be on how the company handles the data collected through this initiative, especially the private datasets.
This article originally appeared on Engadget at https://www.engadget.com/openai-wants-to-work-with-organizations-to-build-new-ai-training-datasets-214548902.html?src=rss
A salmonella outbreak in humans has been traced back to a very-not-human source: dog food. Federal health officials determined that at least seven people, mostly infants, have gotten sick from certain brands of dry dog food. Mid America Pet Food, the company implicated in the outbreak, recalled all of its dog and cat…
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