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Machine learning the news for better macroeconomic forecasting

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Arthur Turrell, Eleni Kalamara, Chris Redl, George Kapetanios and Sujit Kapadia. Every day, journalists collate information about the world and, with …



Retail Tech Startup Tiliter Raises $7.5M for Cashierless AI Shopping Technology

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Investor demand for innovative emerging companies remains strong with Australian AI tech startup Tiliter completing a $7.5 million capital raise, led by Investec Emerging Companies (IEC). Eleanor Venture, a tech investment syndicate for angel investors, and New York's Cornell University also participated in the funding round. Tiliter is a leading artificial intelligence (AI) provider whose technology uses computer vision to recognise products without barcodes. Its technology automatically identifies items, such as fresh produce, without the need for barcodes, packaging, and price stickers, making it easier for shoppers to manage during self-checkout. Tiliter is currently focused on the Supermarket vertical and its camera and software system uses AI to pre-select items and remove the need for manual entry, with over 99% accuracy and in under one second.


Defense Official Calls Artificial Intelligence the New Oil

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Artificial intelligence is the new oil, and the governments or the countries that get the best datasets will unquestionably develop the best AI, the Joint …



Juniper Networks acquires Boston-area AI SD-WAN startup 128 Technology for $450M

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Today, instead of having simply software-defined networking, the newer systems use artificial intelligence to help automate session and policy details …


Legal industry ramping up adoption of artificial intelligence, says AI platform partner

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After a slow start, the legal industry is beginning to ramp up the adoption of artificial intelligence, says Peter Pulikkan, a partner at SparkBeyond, …


OpenAI releases Jukebox, a machine learning framework that generates music

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OpenAI recently launched Jukebox, a model that generates music with singing in the raw audio domain. As a generative model for music, Jukebox can handle the long context of raw audio using an autoencoder. Jukebox's autoencoder processes the audio files using a multiscale VQ-VAE to compress it to discrete codes and modeling those using autoregressive Transformers. Provided with a genre, artist, and lyrics as input, Jukebox can output a new music sample produced from scratch. This is a type of innovation that expands the boundaries of generative models to a new level.