If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
In this AI Podcast, Serkan Piantino from Spell describes how his company is making machine learning easier. Piantino, CEO of the New York-based startup and former director of engineering for Facebook AI Research, explained to AI Podcast host Noah Kravitz how he's bringing compute power to those that don't have easy access to GPU clusters. We want to empower and transform the global workforce by making deep learning and artificial intelligence accessible to everyone. We believe that as organizations and individuals can harness the power of machine learning, our world will change quickly. Our mission is to make sure the technology driving this change is not mysterious and locked away but open and available for everyone.
Apple (NASDAQ: AAPL) recently acquired Xnor.ai, a Seattle-based start-up that develops low-power, edge-based artificial intelligence tools. Apple didn't disclose the terms of the deal, but GeekWire claimed that the deal was worth about $200 million. Apple reportedly paid a similar amount for Turi, another Seattle-based company that specializes in machine learning and AI, in 2016. Apple also recently acquired British AI start-up Spectral Edge for an undisclosed sum. But those acquisitions are just the tip of Apple's AI iceberg.
Apple (NASDAQ:AAPL) recently acquired Xnor.ai, a Seattle-based start-up that develops low-power, edge-based artificial intelligence tools. Apple didn't disclose the terms of the deal, but GeekWire claimed that the deal was worth about $200 million. Apple reportedly paid a similar amount for Turi, another Seattle-based company that specializes in machine learning and AI, in 2016. Apple also recently acquired British AI start-up Spectral Edge for an undisclosed sum. But those acquisitions are just the tip of Apple's AI iceberg.
There's plenty in the way of competition in the audio transcription market, which is estimated to be worth $31.82 billion by 2025. But AISense -- the startup behind speech-to-text service Otter -- has managed to carve out a niche for itself in the four years since its founding. Today the company confirmed to VentureBeat that it has raised $10 million in a round led by strategic backer NTT Docomo's Docomo Ventures, with participation from Fusion Fund, GGV, Dragon Dragon Fund, Duke University Innovation Fund, Harris Barton Asset Management, Slow Ventures, and others. This brings AISense's total venture capital raised to $23 million, following previous rounds totaling $13 million. As part of Docomo's investment, the Tokyo-based mobile phone operator says it's piloting Otter in Berlitz's English language classes in Japan.
Otter.ai to Bring AI-Powered Meeting Note Collaboration Service to Japan in partnership with NTT DOCOMO Partnership includes Investment and Customer Trials of Otter's Real-Time Transcription Los Altos, CA, January 23, 2020 –Otter.ai DOCOMO made a strategic investment in Otter through its wholly-owned subsidiary NTT DOCOMO Ventures, Inc. and announced plans for its AI-based translation service subsidiary to integrate Otter's meeting note collaboration into its offering to provide highly accurate English transcripts translated into Japanese. As a part of Otter's customer engagement with DOCOMO the Otter Voice Meeting Notes application is being used on a trial basis in Berlitz Corporation's English language classes in Japan. Students use Otter to transcribe and review the content of lessons, click on sections of text, and initiate voice playback. DOCOMO, Otter.ai and Berlitz are expanding their collaboration in language education to verify Otter's effectiveness in the study of English DOCOMO is featuring Otter during demonstrations at the DOCOMO Open House 2020, taking place in the Tokyo Big Sight exhibition complex January 23 and 24, 2020.
With its multitenant architecture, Genesys Engage on Microsoft Azure gives customers the ability to innovate faster and improve their business agility. In addition, by running the Genesys customer experience solution on this dependable cloud environment, enterprises will be able to maximize their investment in Microsoft Azure through simplified management and maintenance requirements, centralized IT expertise, reduced costs, and more. These solutions make it easier for enterprises to leverage cloud and artificial intelligence (AI) technologies so they can gain deeper insights and provide tailor-made experiences for their customers. Nemo Verbist, senior vice president of Intelligent Business and Intelligent Workplace at NTT Ltd., one of the top five global technology and services providers for the world's largest enterprises and a partner of both Microsoft and Genesys, sees great value in the partnership. Verbist said, "Many of our customers have standardized on Microsoft solutions, and Genesys Engage on Microsoft Azure gives them an additional opportunity to take advantage of their investment. Together, these solutions provide enterprises a secure and powerful foundation to communicate with their customers in creative and meaningful ways."
It's one thing to develop a working machine learning model, it's another to put it to work in an application. Cortex Labs is an early-stage startup with some open-source tooling designed to help data scientists take that last step. The company's founders were students at Berkeley when they observed that one of the problems around creating machine learning models was finding a way to deploy them. While there was a lot of open-source tooling available, data scientists are not experts in infrastructure. CEO Omer Spillinger says that infrastructure was something the four members of the founding team -- himself, CTO David Eliahu, head of engineering Vishal Bollu and head of growth Caleb Kaiser -- understood well.
The World Economic Forum was the first to draw the world's attention to the Fourth Industrial Revolution, the current period of unprecedented change driven by rapid technological advances. Policies, norms and regulations have not been able to keep up with the pace of innovation, creating a growing need to fill this gap.
Tinder is to'swipe left' on catfishing as the popular dating app starts using artificial intelligence to check that profile photos uploaded by users are genuine. The photo verification feature will allow members to get their images authenticated by posing for a series of real-time selfies. Human-assisted artificial intelligence technology will then compare these submission to existing profile photos to confirm that they do match up. Once a person's photos have been verified, their profile will be granted a blue checkmark icon so that other users can trust their appearance is genuine. The verification feature is one of a number of dating safety features being added to Tinder, which will also gain a dedicated in-app safety centre and panic button.
Meeting strangers off the internet is inherently dangerous, and Tinder reportedly wants to do something about it. The popular dating app is beefing up its user security options, offering a panic alarm for when casual meet-ups or dates take a turn for the worst, the Wall Street Jourrnal reports. Tinder, which is owned by Match, will start testing a panic button in the U.S. by the end of this month, the publication said on Thursday. The offering is brought about through Match's purchase of the personal safety app Noonlight. Match will extend the feature to its other dating apps like OkCupid, Match and Hinge this year.