Posts Tagged ‘AI’

Google Meet Introduces AI and Machine Learning-Based Noise Cancellation Feature

Monday, July 13th, 2020

The immediate demand for Internet-based meetings has risen for a few months due to the increased number of employees working from home. The Covid-19 pandemic has shut down all the organizations and forced employees to work from home. To help everyone transition to a home office environment, Google is updating its premium virtual meeting app, Google Meet, with the much-required noise cancellation capability. The feature uses Artificial Intelligence (AI) and Machine Learning algorithms to eliminate noise in the background for video calls/conferences. What’s more? The feature leverages supervised learnings that necessitate training an AI model in a labeled data set and comes handy in improving the quality of group meetings. Besides, the AI-enabled noise cancellation hit the web first, following with the iOS and Android coming later.

Here’s How It Works

The feature announced later in April for G Suite Enterprise and G Suite Enterprise for Education customers, but since the rollout continued, it is now becoming accessible for Meet users on the web. However, the noise cancellation gets activated by default but can be turned off by heading over to the audio settings and turning the noise cancellation toggle off.

Serge Lachapelle – G Suite’s Director of Product Management says “The capability operates with the help of machine learning algorithms. The audio of the speaker is transmitted securely to the cloud where a machine learning algorithm analyzes it to identify the main voice and remove all the ambient noises surrounding it in real-time”. However, he adds “Once the processing takes place, the filtered out voice – free from ambient noise – is delivered to the person on the other end of the call. Overall, the quality of the voice comes out pretty clear, but the segments where the processing has been done sound a little degraded or low. But, it will improve eventually.

Serge Lachapelle – G Suite’s Director of Product Management says “The capability operates with the help of machine learning algorithms. The audio of the speaker is transmitted securely to the cloud where a machine learning algorithm analyzes it to identify the main voice and remove all the ambient noises surrounding it in real-time”. He further continued “Once the processing takes place, the filtered out voice independent from ambient noise is delivered to the person on the other end of the call. Overall, the quality of the voice comes out pretty clear, but the sections where the processing was been done sounded a little deprived or low. But, it will improve with time”.

Curious already? Here is the video featuring Serge Lachapelle- G Suite’s Director of Product Management. In this video, he is describing the working of “Denoiser” in detail using a snack bag, a clicking pen, and rotating a metal object in a glass.

Google Meet Introduces AI and Machine Learning-Based Noise Cancellation Feature

Friday, July 10th, 2020

The immediate demand for Internet-based meetings has risen for a few months due to the increased number of employees working from home. The Covid-19 pandemic has shut down all the organizations and forced employees to work from home. To help everyone transition to a home office environment, Google is updating its premium virtual meeting app, Google Meet, with the much-required noise cancellation capability. The feature uses Artificial Intelligence (AI) and Machine Learning algorithms to eliminate noise in the background for video calls/conferences. What’s more? The feature leverages supervised learnings that necessitate training an AI model in a labeled data set and comes handy in improving the quality of group meetings. Besides, the AI-enabled noise cancellation hit the web first, following with the iOS and Android coming later.

Here’s How It Works

The feature announced later in April for G Suite Enterprise and G Suite Enterprise for Education customers, but since the rollout continued, it is now becoming accessible for Meet users on the web. However, the noise cancellation gets activated by default but can be turned off by heading over to the audio settings and turning the noise cancellation toggle off.

Serge Lachapelle – G Suite’s Director of Product Management says “The capability operates with the help of machine learning algorithms. The audio of the speaker is transmitted securely to the cloud where a machine learning algorithm analyzes it to identify the main voice and remove all the ambient noises surrounding it in real-time”. However, he adds “Once the processing takes place, the filtered out voice – free from ambient noise – is delivered to the person on the other end of the call. Overall, the quality of the voice comes out pretty clear, but the segments where the processing has been done sound a little degraded or low. But, it will improve eventually.

Serge Lachapelle – G Suite’s Director of Product Management says “The capability operates with the help of machine learning algorithms. The audio of the speaker is transmitted securely to the cloud where a machine learning algorithm analyzes it to identify the main voice and remove all the ambient noises surrounding it in real-time”. He further continued “Once the processing takes place, the filtered out voice independent from ambient noise is delivered to the person on the other end of the call. Overall, the quality of the voice comes out pretty clear, but the sections where the processing was been done sounded a little deprived or low. But, it will improve with time”.

Curious already? Below is the video featuring Serge Lachapelle- G Suite’s Director of Product Management. In this video, he is describing the working of “Denoiser” in detail using a snack bag, a clicking pen, and rotating a metal object in a glass.

Drone Technology — Uses and Applications

Thursday, January 23rd, 2020

A drone, also known as an unmanned aerial vehicle or UAV, is basically a flying robot that can be controlled remotely or it may have the technology to fly on its own using software-controlled flight plans which are embedded in their systems.

Drone technology is something that is continually evolving, with investments in it increasing year by year. This is because drones have a wide range of uses that are crucial for several industries. For example, unmanned aerial vehicles are commonly used in the military for gathering intelligence, for anti-aircraft target practice and more.

The military isn’t the only field where drones have irreplaceable value. Today, they are used in weather monitoring and prediction, traffic monitoring, in search and rescue efforts to reach places that are impenetrable by humans or larger machines, in surveillance, etc.

They are even used for personal and business purposes. Real estate and delivery services are among the industries which have really benefited from drone technology. When cameras are attached to drones, they are used for aerial photography and videography by photographers, filmmakers, real estate agents, etc. Many top UX design firms play an important role in the development of drones.

How does a drone work?

Drone technology works in conjunction with GPS and onboard sensors. Today, many drones have advanced features that make them extremely durable and intelligent, thus widening their scope of use. Below, we take a look at the different components of drone technology.

Radar positioning and return home

Modern drones are integrated with dual Global Navigational Satellite Systems or GNSS, which includes GPS and GLONASS. These drones can fly in GNSS as well as non-satellite modes. Radar positioning helps in accurate drone navigation and also displays the current position of the drone in relation to the controller. The Return to Home feature guides the drone back to the controller.

Obstacle detection and collision avoidance technology

High-tech drones come with obstacle detection and collision avoidance technology in order to ensure safety. These sensors thoroughly scan the surrounding environment, while SLAM technology and software algorithms produce the scanned images into a 3D map.

Gyroscope stabilization

Drones can fly smoothly because of the gyroscope stabilization technology embedded in them. In addition, the gyroscope also provides important navigational data to the central flight controller.

Inertial Measurement Unit (IMU)

The IMU is a technology that can detect the current acceleration rate using one or more accelerometers. It does so by detecting changes in various rotational attributes using the gyroscope.

Motors and propellers

These are technologies that enable the drone to move into the air and hover or fly in any direction. They let the drone either hover or fly based on the data received from the flight controller and electronic speed controllers.

Understanding Conversational AI Technology

Thursday, January 23rd, 2020

Put simply, conversational AI refers to technology that can automate communication by using speech-based assistants, messaging apps, and chatbots. This helps businesses in creating a highly personalized experience at scale.

Today, conversational AIs are more popular than ever, and their rapid advancement points to a future where we are likely to become more reliant on this technology for our daily tasks. The best UI UX design services are requested time and again by businesses to integrate conversational AIs into their operations.

For example, you or someone you know may have Google Home or Amazon Alexa at home. These are two of the most popular speech-based assistants available in the market today. You can have conversations with these AIs, ask them to carry out certain tasks for you such as setting up an appointment, ask them to play music, etc., simply by talking to them as you would to another human being.

What makes conversational AI Technology so appealing to the masses is that they are driven by a language we are already comfortable with. Whether they are chatbots or speech-based assistants, you don’t have to learn complex processes to operate a conversational AI. They can either be engaged with using full sentences or using word options from a menu and can support two-way interactions with the user, thus connecting humans and machines like never before.

How conversational AIs can affect your business

It’s not difficult to see how businesses can benefit from the power of conversational AIs. One of the key appeals of this technology is that it can carry out personalized interactions with many individual customers simultaneously. On top of this, it enhances engagement and streamlines communication, thus providing an overall better customer experience.

By enabling businesses to hold seamless and synchronized communications with their customers on whatever channel the customers may be using, conversational AIs allow improved efficiency and better customer satisfaction. For example, a customer on a website using chatbots for a query can have any issue resolved in a matter of a few minutes, without having to wait to speak to a representative.

Customers today are already pretty familiar with conversational AI in its different avatars. The younger generation prefers to communicate over conversational AI-enabled platforms than other forms of communication such as phone calls.

Thanks to its ease of use and its efficient nature, conversational AI is gaining momentum, with many top UX design firms investing in it. This means that businesses can use this modern technology to automate customer-focused touchpoints on various channels including their website, social media, and even smart assistants like Alexa and Google Home.

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