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“I am telling you, the world’s first trillionaires are going to come from somebody who masters AI and all its derivatives and applies it in ways we never thought of,” says the star investor of ABC’s “Shark Tank,” speaking to a packed house in Austin at the SXSW Conference and Festivals Sunday night.
Manually logging every thing we eat throughout the day can be time consuming. And while we have every intention to use that calorie counting app, it isn’t before long before we stop using it consistently. But there now is a more simple way for users to keep track of a food diary. In fact, it’s as easy as chatting to a friend—or in this case, to a bot.
Meet Forksy, the chat bot for tracking calories and eating healthy that available for Facebook Messenger and other messaging apps like Viber, Kik and Telegram.
The best part is that unlike nutrition and food tracking apps already out there, Forksy allows users to speak to it in their natural language to log their food. For example, the user can tell Forksy they had a cup of coffee and bagel with cream cheese for breakfast, and the bot will bring the nutritional info for those items. Just type the food items, or as how you would speak it like ,”I had a burger with fries and a soda.”
Lantern Credit, a financial technology company working to solve systematic inefficiencies in the consumer credit industry, is enhancing its proprietary machine learning engine, Beam AI, with the acquisition of the Abstract Regression-Classification (ARC) Machine Learning Library.
The machine learning library enables Lantern Credit to use a human-machine hybrid learning approach that incorporates human guidance in the machine learning training process to produce more reliable outputs.
Lantern Credit’s Beam AI will use the symbolic regression technology to ensure that credit offers presented to consumers are actionable and timely.
Hoping to understand how Neurala can help the drone industry with AI, Commercial UAV News reached out to Neurala’s CEO Massimiliano “Max” Versace to ask about what Neurala can offer in terms of AI, how their offering is different and plenty more.
When asked what Neurala is currently working on he said, “We are working with major drone companies for both consumer applications and for commercial inspection applications. As an example of consumer application is the Teal Drone that will be bundled with The Neurala Brain. We are also working with Parrot.
On the commercial side, we are working with several players for inspections of power lines, cell towers and solar panel arrays. By highlighting the areas of interest, The Neurala Brain can save much more than it costs in inspection effort. Additionally, we are working with special-purpose drone manufacturers in the search & rescue space.”
During the South by Southwest event held in Austin TX, an “AI for Good: Harnessing Power to Solve Problems” panel convened. “We have assisted in the recovery of 220,000 missing children in that time, and we are also involved in recovering exploited children,” said Mark Gianturco, CTO of the National Center for Missing & Exploited Children.
The session, moderated by Lisa Thee, AI and analytics solution owner at Intel, covered how the technology industry is coming together using AI to uncover patterns by analyzing vast amounts of data to resolve missing children cases.
Last week, Jenn Webb sat down with David Beyer, an investor with Amplify Partners. They talk about machine learning and artificial intelligence, the challenges he’s seeing in AI adoption, and what he thinks is missing from the AI conversation.
He thinks that AI adoption is actually a multifaceted question. It’s something that touches on policy at the government level. It touches on labor markets and questions around equity and fairness. It touches on broad commercial questions around industries and how they evolve over time. There’s many, many ways to address this. He thinks that a good way to think about AI adoption at the broader, more abstract level of sectors or categories is to
actually zoom down a bit and look at what it is actually replacing.
Baidu, the Chinese company operating a search engine, a mobile browser, and other web services, is announcing today the launch of SwiftScribe, a web app that’s meant to help people transcribe audio recordings more quickly, using AI.
Baidu in the past few years has been honing its DeepSpeech software for speech recognition. Last year, the company introduced TalkType, an Android keyboard that, using DeepSpeech, puts speech input first and typing second, based on the idea that you can enter information more quickly when you say it than when you peck. Now Baidu is coming out with another app enhanced with DeepSpeech, one that could arguably find better footing in a professional setting.
Today, Baidu is providing SwiftScribe as a free service — unlike Nuance’s Dragon software. “But in the future, we hope to turn it into a business,” Baidu project manager Tian Wu said.
Cloud accounting software provider Xero announced a new product that it says will bring machine learning and AI to the process of small business invoicing.
The machine learning automation technology is currently without an official title, but Xero says it’s designed to simplify and improve the way invoices are filed. More specifically, the technology will automatically suggest the appropriate account codes for an invoice based on past invoicing behaviour of the business owner and their advisor.