Women are playing a significant role in the field of Artificial Intelligence. Take a look at the well-known women personalities in the AI field here.
Category: robotics/AI – Page 1,489
Computing with Chemicals Makes Faster, Leaner AI
How far away could an artificial brain be? Perhaps a very long way off still, but a working analogue to the essential element of the brain’s networks, the synapse, appears closer at hand now.
That’s because a device that draws inspiration from batteries now appears surprisingly well suited to run artificial neural networks. Called electrochemical RAM (ECRAM), it is giving traditional transistor-based AI an unexpected run for its money—and is quickly moving toward the head of the pack in the race to develop the perfect artificial synapse. Researchers recently reported a string of advances at this week’s IEEE International Electron Device Meeting (IEDM 2022) and elsewhere, including ECRAM devices that use less energy, hold memory longer, and take up less space.
The artificial neural networks that power today’s machine-learning algorithms are software that models a large collection of electronics-based “neurons,” along with their many connections, or synapses. Instead of representing neural networks in software, researchers think that faster, more energy-efficient AI would result from representing the components, especially the synapses, with real devices. This concept, called analog AI, requires a memory cell that combines a whole slew of difficult-to-obtain properties: it needs to hold a large enough range of analog values, switch between different values reliably and quickly, hold its value for a long time, and be amenable to manufacturing at scale.
Bio-circuitry mimics synapses and neurons in a step toward sensory computing
Researchers at the Department of Energy’s Oak Ridge National Laboratory, the University of Tennessee and Texas A&M University demonstrated bio-inspired devices that accelerate routes to neuromorphic, or brain-like, computing.
Results published in Nature Communications report the first example of a lipid-based “memcapacitor,” a charge storage component with memory that processes information much like synapses do in the brain. Their discovery could support the emergence of computing networks modeled on biology for a sensory approach to machine learning.
“Our goal is to develop materials and computing elements that work like biological synapses and neurons—with vast interconnectivity and flexibility—to enable autonomous systems that operate differently than current computing devices and offer new functionality and learning capabilities,” said Joseph Najem, a recent postdoctoral researcher at ORNL’s Center for Nanophase Materials Sciences, a DOE Office of Science User Facility, and current assistant professor of mechanical engineering at Penn State.
Daily Crunch: Lensa AI can transform Photoshopped fakes into nonconsensual pornography
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Amplifying human creativity: Adobe Stock defines new guidelines for content made with generative AI
The new guidelines provide restrictions and regulations for creators submitting art.
Adobe has now started accepting AI-generated stock images on its platform, but with regulations. The company updated its guidelines.
Image credit: Left: Adobe Stock / Art Master, Middle: Adobe Stock /Robert Kneschke, Right: Adobe Stock / Forest Spirit.
Adobe Stock, a global marketplace with over 320 million creative assets, has defined new guidelines for submissions of illustrations developed with generative AI — expanding how customers enhance their creative projects. Early generative AI technologies have raised questions about how it should be properly used. Adobe has deeply considered these questions and implemented a new submission policy that we believe will ensure our content uses AI technology responsibly by creators and customers alike.
Generative AI is a major leap forward for creators, leveraging machine learning’s incredible power to ideate faster by developing imagery using words, sketches, and gestures. Adobe Stock contributors are using AI tools and technologies to diversify their portfolios, expand their creativity, and increase their earning potential. Going forward, these submissions must meet our guidelines for AI generated content, notably including our ask that contributors label generative AI submissions.
An innovative method allows researchers to move objects using ultrasound waves
It can be specifically useful in the robotics and manufacturing industries.
Researchers from the University of Minnesota, Twin Cities, use ultrasound waves to move objects hands-free, according to an institutional press release.
It has been shown in previous studies that objects can be manipulated with light and sound waves, too. But the objects in question were always far smaller than the wavelengths of either light or sound or on the order of millimeters to nanometers.
Apple’s self-driving car debut pushed back and may be less advanced
The car will allegedly have less ambitious self-driving capabilities initially and it’s debut date has been pushed back to 2026.
Apple’s ambitious electric vehicle (EV) will allegedly have fewer self-driving capabilities for its launch date, the latter of which has been pushed back by a year, from 2025 to 2026, according to a Bloomberg.
The car is still in the pipeline and is reported to be set up with more conventional car features and designs than other autonomous EVs.
Just_Super/iStock.
The company’s ambitious self-driving car plans seem to chop and change at a whim but at least it’ll cost under $100,000 when it’s finally on the market.
ChatGPT; 8 coolest ways to use OpenAI’s viral application
The application has registered one million plus downloads since its launch.
Inquiries for OpenAI’s ChatGPT, a dialogue-based AI chatbot, are going through the roof. The rising interest in the application can be attributed to some of its entertaining responses to users’ queries, which has lately created a storm on Twitter.
ChatGPT is not your typical chatbot featured in every customer service portal corner.
NurPhoto/Getty.
The new offering by the California-based firm has already crossed one million users in a short period. Open AI had recently succeeded with DALL-E 2, an AI system that creates realistic images from user prompts in natural language.
Europe’s fastest supercomputer just connected to a quantum computer in Finland — here’s why
The merged computing power can give rise to faster and more accurate machine learning applications.
Last month, LUMI, the fastest supercomputer in Europe, was connected to HELMI, Finland’s first quantum computer, a five-qubit system operational since 2021. This makes Finland the first country in Europe to have created such a hybrid system — it is one of the few countries worldwide to have done the same.
LUMI is famous — the supercomputer ranks third in the latest Top 500 list of the world’s fastest supercomputer and can carry out 309 petaflops. LUMI, too became operational in 2021.
VTT Technical Research Centre of Finland worked with CSC and Aalto University, within the Finnish Quantum Computing Infrastructure framework, to make the connection between the computers, according to a release.