Shazam, the music recognition software used by millions of people across the world is reportedly being acquired by Apple. Reportedly set at $400 Million, the finalization of the acquisition process is almost complete.
Well, for starters, Apple would be able to make use of Shazam’s music and sound recognition technology. If you’re already a Shazam user, you would know how easy it is to use the app to identify partial audio clips that play on the radio.
Apart from the ease of use for Apple, it would also save Apple money in terms of the commissions that Apple has to pay to Shazam each time a user goes to the iTunes store to purchase music. This was actually how a majority of Shazam’s revenue was generated for the year 2016, and also fuelled 10% of all digital download sales as well.
On the other hand, if something happens to Shazam causing Apple to shut them down, that would have negative effects for services such as Spotify and also Google Play Music.
In case you didn’t know, Shazam launched an AR platform for brands as well. This was based on their visual recognition technology that was launched in 2015. With it, you could use the app to scan books, magazines, and posters. Once scanned, the app could then launch 3D animation and even entire product visualizations and 360-degree visualizations. Think Google Lens, but more Apple.
This could also make use of Apple’s ARKit which have made it a formidable contender in the AR industry. If it works out, Apple’s acquisition of the music recognition app would be the successor to when Apple acquired Beats in 2014 for $3 Billion, forming the foundation for Apple Music.
In case you didn’t know, you can use an Android smartphone with Google Assistant or Google itself to identify songs as well. Simply play a song and launch the Google app and say” What’s this song?”. Alternatively, you can also launch Google Assistant and either type in the text or use your Voice as well.
While it’s not as precise as Shazam in identifying less popular artists, it does a pretty good job of identifying the latest hits. It’s a bit of a hit or a miss though and relies a lot more on ambient noise whereas Shazam can actually detect songs being played in loud environments.
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What kicked off in 2011 as a friendly gaming event has now developed into a fully-fledged gaming tournament. With the goal of promoting team building, leadership, and planning, the Virtusa
What kicked off in 2011 as a friendly gaming event has now developed into a fully-fledged gaming tournament. With the goal of promoting team building, leadership, and planning, the Virtusa LAN Challenge 2018 is happening.
Semi-Finals of the internal tournament will take place on the 22nd and 23rd of January 2018 at Virtusa premises.
january 22 (Monday) - 23 (Tuesday)
Virtusa Pvt. Ltd. 752, Dr Danister De Silva Mawatha, Colombo 09
The main purpose of the workshop is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use
The main purpose of the workshop is to give students the ability to analyze and present data by using Azure Machine Learning, and to provide an introduction to the use of machine learning and big data.
Module 1: Introduction to Machine Learning
This module introduces machine learning and discussed how algorithms and languages are used.
· What is machine learning?
· Introduction to machine learning algorithms
· Introduction to machine learning languages
Module 2: Introduction to Azure Machine Learning
Describe the purpose of Azure Machine Learning, and list the main features of Azure Machine Learning Studio.
· Azure machine learning overview
· Introduction to Azure machine learning studio
· Developing and hosting Azure machine learning applications
Module 3: Managing Datasets
At the end of this module the student will be able to explore various types of data in Azure machine learning.
· Categorizing your data
· Importing data to Azure machine learning
· Exploring and transforming data in Azure machine learning
Module 4: Building Azure Machine Learning Models
This module describes how to use regression algorithms and neural networks with Azure machine learning.
· Azure machine learning workflows
· Using regression algorithms
· Using neural networks
Module 5: Using Azure Machine Learning Models
This module explores how to provide end users with Azure machine learning services, and how to share data generated from Azure machine learning models.
· Deploying and publishing models
· Consuming Experiments
Module 6: Using Cognitive Services
This module introduces the cognitive services APIs for text and image processing to create a recommendation application, and describes the use of neural networks with Azure machine learning.
· Cognitive services overview
· Processing language
· Processing images and video
· Recommending products
Feel free to contact us for any inquiries
uditha bandara – 0716092918
All Day (Wednesday)
ANC education ,310 R A De Mel Mw, Colombo 03 00300
Blue Chip Training0716092918
Startup Weekend is a global phenomenon - 54 hours of fast and furious prototype development through to exploring potential markets and pitching. It’s an unparalleled opportunity to build lasting relationships
Startup Weekend is a global phenomenon – 54 hours of fast and furious prototype development through to exploring potential markets and pitching. It’s an unparalleled opportunity to build lasting relationships with co-founders; mentors, and investors.
The real value comes from taking an idea from concept through to execution using Lean tactics and working under high pressure with the best startups.
26 (Friday) 5:00 pm - 28 (Sunday) 8:00 pm
Oak Ray Regency Kandy
Oak Ray Regency Kandy, No 9, Devani Rajasinghe Mawatha,, 20000 Kandy