Leading neural network engineers are being offered fantastic compensation packages, according to people in the know. Some have been offered up to $20 million worth of assets for their labour.
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Sam Altman, the CEO of OpenAI has confirmed the development status of GPT-5. He also shared further insights about GPT development and approaches to bolster security during an event at MIT.
What happens when you ask an AI-based text-to-image generator to produce a product image? Here is how artificial intelligence imagines stock wallpapers for Microsoft's next operating system.
This book is designed to help you if you're a beginner looking to work on deep learning and build deep learning models from scratch. You can download it for free until tomorrow, Aug 4.
Facebook today has announced its TextStyleBrush AI research project. The new TextStyleBrush AI can copy text styles from images and effectively reproduce new images with the same replicated style.
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Google says its AI can design microprocessor floorplans much faster and better than any human can. The neural network is learning this trade through a method called reinforcement learning.
XNNPack and TensorFlow Lite now support efficient inference of sparse networks. Researchers demonstrated substantial speedups in inference times on realtime gesture detection and background blur apps.
DALL·E, a distilled version of GPT-3 with 12 billion parameters, is a transformer model that produces images from a given caption. The results are impressive with the model capturing minute details.
By borrowing from metallurgy, the team demonstrated a novel memristor design that was able to outperform existing ones in reproducing the images of Captain America's shield and MIT's Killian Court.
By working on only de-identified mammograms, Google's machine learning model surpassed individual experts in accurately identifying breast cancers despite working with lesser information.
IBM is working on patenting a watermarking technology to protect the ownership of AI models developed by AI researchers. The framework does have some limitations but is bound to improve with time.
The social network is developing an AI tool that will fix those pictures in which you may have closed your eyes at the wrong time. It's doing so by analyzing other pictures of you with your eyes open.
Nvidia has come up with a neural network that can apply slow-motion effects to any video after the fact, and it promises pretty impressive results when it comes to playback smoothness.
Looking towards the neural network and machine learning market, Arm has announced a new platform composed of two IP cores. Codenamed Project Trillium, it's set for an early preview in April.
AI or human eye; Twitter has been training a neural network to impersonate the human eye, recognising faces, animals, text and other objects to tailor image previews and avoid awkward auto-cropping.
Flickr has introduced new functionality that allows users to search for similar images to the one they're interested in. While a simple function, this relies on improvements in neural nets and AI.
If you're someone who uses a lot of emojis or someone who doesn't use them enough, Dango can make the process of use and discovery easier thanks to some interesting machine learning mechanisms.
After confirming its plans to purchase Android and iOS keyboard developer SwiftKey last month - in a deal rumored to be worth $250m - Microsoft has said today that the acquisition is now complete.
After a lot of rumors, Microsoft has officially announced that it has acquired iOS/Android keyboard developer SwiftKey. This purchase just comes after it acquired MinecraftEdu.
Microsoft is reportedly buying SwiftKey, whose virtual keyboards - powered by artificial intelligence and machine learning models - are in use on over 300 million iOS and Android devices.
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