To make this a reality, Google has just announced that they have brought voice typing (aka talking to your phone instead of typing) to 30 new languages (such as Georgian and Amharic) and locales around the world, covering more than a billion people.
Retailers, such as Ryanair, Expedia, The North Face, and L’Oréal have recently jumped on the voice search bandwagon as well and companies like AddStructure, EasyAsk, Amazon, and Mobvoi are working to improve the technology.
We’re excited to announce our next event, Ret.AI.l Therapy – Impact of AI to explore the broader impact of AI on the customer experience. The event is kindly sponsored by Accenture Analytics and will take place in London over breakfast at the Science Museum on 10 October. You can apply for a ticket here (spaces are limited).
As it stands, AIs in the US cannot be awarded copyright for something they have created. The current policy of the US Copyright Office is to reject claims made for works not authored by humans, but the policy is poorly codified. AI also raises some thorny issues by potentially impinging on the IP rights of others as well as who would be liable for copyright infringement.
Microsoft is positioning the deal, announced yesterday, as a way for it to enable its customers to use high-performance computing and other “Big Computing” capabilities in the public cloud. A Microsoft spokesperson said: “We will continue to support Cycle Computing clients using AWS and/or Google Cloud. Future Microsoft versions released will be Azure focused. We are committed to providing customers a seamless migration experience to Azure if and when they choose to migrate.”
The idea for this chat bot started when Marti Planellas wanted to switch from permanent to contractor. Seeing how many messages he was receiving on LinkedIn and how difficult was to comb through them, he knew there had to be a better way. To that end, he built Jobby, a bot which gathered job opportunities from recruiters.
A new Manchester-based business is making waves in the energy sector after being oversubscribed for its first round of funding. With a background in global energy markets, Omar Rahim and Momin Hashmee have joined forces to launch Energi Mine. The business utilises AI to procure and trade energy for some of the UK’s biggest companies.
Launched six months ago, Energi Mine’s clients include a global law firm, the largest independent construction materials group in the UK and a large privately-owned forecourt operator. A sales pipeline of over £1m will also be realised within the next 12 months. The trading desk monitors wholesale energy prices and analyses a range of data from power station capacity and gas flows, to international bond prices and weather patterns. For more information, check out their press release.
There are over 6500 articles about AI/ML/DL written on medium, and if you would want to read them all, you would need to spend a full month reading 14 hours a day.
To help you navigate this space, Florin Badita has written a blogpost, in which he filtered the posts that are tagged with either AI/ML or Deep Learning, and sorted them by the number of recommends. The top 3 authors (based on number of recommends) are Steven Levy, Adam Geitgey, and Chris Dixon.
The operational research unit of the Military Intelligence Unit doesn’t look like the kind of place where state-of-the art AI is being put to work. Major Sefi Cohen, 34, is head of the unit, which in effect makes him the army’s chief data officer. As he explains it, his unit’s mission is to provide soldiers in the field data-based insights with the help of smart tools. “We embed these capabilities in applications that help commanders in the field,” he said.
One example of a project they worked on is a
system they built which is based on neural networks and whose purpose is to extract from a video a suspicious object and describe it in writing. “It won’t replace human observers, but instead of looking at five cameras, it will be able to be responsible for dozens,” said Cohen. Check out the article for more.
This week on DisrupTV, hosts R “Ray” Wang and Vala Afshar interviewed Ophir Gottlieb, CEO & Co-Founder at Capital Market Laboratories which develops and markets innovative data visualisation tools for retail and institutional investors.
According to Gottlieb, there have been two waves of innovation in financial services technology, and we are positioned for the third wave. Wave 1 – The Internet, Wave 2 – Democratization of Data, Wave 3 – Turning Big Data to Knowledge using Machine Learning/AI. Gottlieb discusses Apple, the speed of innovation in fintech, and more.
Due to the importance of sleep to public health, researchers are racing to find new ways to monitor and improve sleep habitnews.mit.edus, including using artificial intelligence (AI). While there are a number of AI
sleep technologies to keep an eye on, one, in particular, stands out — a new sensor that uses radio waves translated by machine-learning algorithms to monitor your sleep phases without the need for any intrusive wearable devices.
Researchers at MIT and Massachusetts General Hospital joined forces to develop and test the new technology. A wireless device, similar to a Wi-Fi router, emits low-power radio frequency signals, which bounce off the body. The AI algorithms analyze the data and translate the measurements of pulse, breathing, and other factors into the major sleep stages — light sleep, deep sleep, and REM sleep.