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We're delighted to announce the arrival of ai3-nano™ – the most compact sound recognition software platform in the world. It is designed to run at the edge on incredibly constrained devices like true-wireless earbuds or products required to run in always-on mode, such as smartphones, where power efficiency is critical. Read the full blog here
In the world of machine learning, public attention is usually focused on the advent of new deep neural network (DNN) architectures, like when Geoffrey Hinton’s capsule networks promised to bring image recognition one step forward from convolutive networks. However, excitement for new DNN architectures is masking other factors of progress which play a key role in achieving world-leading machine learning (ML) results. In previous blog posts we have talked about the importance of innovating in the data collection space but another element – which is also often underestimated – is the critical importance of the loss function. Read the full post on our website.
When it comes to training and evaluating sound recognition systems that perform to a high standard within a range of diverse consumer products, you cannot rely on recordings downloaded from the internet. This is due to a range of legal, ethical and technical limitations which are highlighted in a whitepaper that we have published, which you can download for free here: https://www.audioanalytic.com/why-real-sounds-matter-for-machine-learning/
We are excited to announce that for the fourth year running we are sponsoring the DCASE Workshop, alongside Apple, Hitachi, Mitsubishi Electric and others. This year’s annual workshop and challenge are being hosted virtually, with the DCASE workshop taking place on the 2nd – 3rd November 2020.
We featured on the popular British consumer tech program: The Gadget Show. Ortis Deley came to find out more about our AI sound recognition tech, help with data collection and discuss the importance of collecting high quality, real world data in order to give machines a sense of hearing.
We are proud to announce that we won ?Best Overall AI Company? in the 2020 AI Breakthrough Awards program. The award was part of the Leadership category and judged on criteria such as innovation, performance, value and impact and with the program having received over 2,000 nominations this year, we are delighted to have been selected for this award.
We feature in EE|Times' latest podcast presented by Sally Ward-Foxton, where we talk about the complexities of sound recognition and we demonstrate sound recognition running on an ARM Cortex-M0+ device.
🎧Check out and listen to the latest Data Engineering Podcast. We talk to Tobias Macey about data collection and management for teaching machines to hear.
With backing from the tinyML Foundation, Audio Analytic and ARM will initially head the organising committee of the new UK tinyMLMeetup group. Read more about it and join here
Join us on June 9th when our VP Technology, Dominic Binks, will give a talk titled ‘tinyML doesn’t need Big Data, it needs Great Data’ during the latest tinyML Talks webcast series, which is organised by the tinyML Foundation. The virtual, one hour event is free to attend, starts at 8am PDT/3pm UTC/4pm GMT and features two speakers.
