Artificial intelligence has taken over the world, it is used to augment sectors like business, education, construction, healthcare, transportation, and more. Artificial intelligence is used to save lives, create next-gen technologies, and most importantly to create a better world for humans. The applications of AI seem to be endless. Though it might seem that AI is a futuristic sci-fi technology that is ahead of our times, it's not stopping at personalizing your social media experience or automating monotonous tasks. One Concern empowers decision-makers to prepare for, respond to and recover from natural disasters. It was started by Stanford-educated scientists and engineers, with the aim of making homes and cities safer.

Take a moment to listen to the world around you. Maybe you are listening to a podcast or the sounds of office life filtered through noise-canceling headphones. Or perhaps you're on a train or lulled by the sound of a dishwasher. Our brains are constantly taking in the sounds around us and giving us useful information. In the coming few years, computers will begin to also process those noises to understand what's happening around them to modify the environment, improve hearing, and notify us if something is wrong.

He will investigate the performance of the more recently developed deep learning algorithms in various detection tasks such as real-life sound event detection, rare event detection and bird audio detection. He will also propose a feature learning algorithm based on the combination of neural networks and the domain knowledge from human auditory perception. The Tech Talk, which will take place at Audio Analytic's office in Quayside, Cambridge on Wednesday 13th March, is free to attend and doors open at 18:00, with the talk starting promptly at 18:30. The talk will be followed by Q&A and networking around nibbles. Audio Analytic is recruiting so this is also a fantastic occasion to come and chat with its staff.

Humans lives their lives trapped in a glass cage of perception. You can only see a limited range of visible light, you can only taste a limited range of tastes, you can only hear a limited range of sounds. But machines can kind of leapfrog over the limitations of natural selection. By creating advanced robots, humans have invented a new kind of being, one that can theoretically sense a far greater range of stimuli. Which is presenting roboticists with some fascinating challenges, not only in creating artificial senses of touch and taste, but in figuring out what robots should ignore in a human world.

Audio Analytic's CEO Chris Mitchel smashes window panes with a sledge hammer to help teach machines how to hear the sound of breaking glass as well as humans. Amazon's Echo speaker knows that you only have to say "Alexa" to wake it up. But technically it can't tell the difference between two people murmuring in the corner of the room and the sound of radio static. That would take a deeper dive into the building blocks of sound itself. But one small startup in Cambridge, UK has spent ten years building up an entirely new language of sound which, for the first time, will allow machines to recognize the sound of human speech.

Audio Analytic, the pioneer of sound recognition software and hearables manufacturer Bragi, today announced a partnership to collaborate on incorporating sound recognition capabilities into Bragi devices. The companies share a vision of how embeddable intelligent sound recognition can bring new levels of usability, convenience and safety to earphone users. At January's Consumer Electronics Show 2018 (CES) Audio Analytic, will use their conversation detection demonstration, developed with Bragi, to illustrate how sound recognition can help consumers seamlessly move between a rich audio experience and spontaneous interactions with their friends and important events around them. Bragi is a pioneer in the smart hearables category. The company manufactures wireless earphones with sensors and intelligence that enable features including real-time translation, fitness tracking, music, and gesture controls.

In a sound-proofed hangar on an RAF airbase just north of Cambridge, UK, Chris Mitchell and his colleagues are busy using sledgehammers to teach their computers a lesson. The team has gathered thousands of window panes and doors, all of different shapes and sizes, which they then smash, one by one, recording the distinctive shattering sound of each type of glass. Sometimes they swing sledgehammers or garden spades, sometimes they throw bricks. "We completely underestimated the mess it would make," says Mitchell. "And how tiring it would be."

Audio Analytic has raised $5.5m to develop its AI-based sound recognition system for the connected home. The Series-A funding round has been led by Cambridge Innovation Capital led the round, with IQ Capital, Rockspring, Cambridge Angels and Martlet participating. It is hoped it will help company to scale and meet growing Smart Home OEM demand for its Artificial Audio Intelligence software, ai3. Founded in 2008, Audio Analytic has pioneered the development and commercialisation of intelligent sound recognition using advanced machine learning. Its innovative ai3 software enables devices to recognise significant sounds and take automated action.