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Use AI to automatically transcribe your Google Meet meetings

(TECH NEWS) This Google Chrome extension uses artificial intelligence to automatically transcribe and log notes from your Google Meet and video meetings.

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A woman in kitchen with laptop smiling at the screen during a Google Meet video meeting.

A new Google Chrome extension helps eliminate the pains of transcribing your Google Meet video meetings, interviews, and lectures. Otter.ai makes note-taking easy by transcribing and captioning all your chats in real-time and lets you save and share the transcripts with participants.

The AI-powered assistant differs from other transcription services because its AI model was built from the ground up to specifically handle long-form, multi-speaker, and complicated meeting situations.

“Meetings usually run long, could be 30 minutes, 60 minutes, and people interrupt each other all the time. People may speak a little faster or a little slower. They may pause and hesitate and restart and suddenly change topic,” said Otter.ai CEO and Co-founder Sam Liang in an interview on the NVIDIA AI podcast.

“All of these make taking notes for meetings way more complicated. So, that’s why we build AI technologies to optimize note-taking for meetings,” he continued.

Since Otter uses Ambient Voice Intelligence, it can recognize voices and even learn new terminology. With the tool, you can find what you need quickly. By using a summary keyword, you can see where that word appears in all instances. You can also speed up the playback or skim through long recordings.

Besides Google Meet, Otter works on iOS, Android, and Zoom. And, it’s available in all the company’s different pricing plans. With a free plan, you get 600 minutes of transcribing with each recording having a maximum length of 40 minutes.

Paid plans offer more recording time and length maximums. They give you additional features like the ability to import audio and video, advanced export and search functions, and the capability to be used during live events.

The cross-platform product can be used anywhere, which means you can use the AI transcribing assistant on your phone. So, if you’re a student or journalist trying to record an interview, you can use the mobile app to record the conversation. In the app’s dashboard, you can view all your recorded transcriptions and those shared with you.

The company’s target market is the business and enterprise meeting market, and people are definitely using it. “Today with remote work and distributed workforce, most of the meetings are happening on Zoom or Webex or Microsoft Teams. So, people are finding Otter really useful to improve their collaboration remotely,” said Liang.

Otter is simple enough to use. All you do is go to the Google Web Store to install the extension. You tap the Otter icon to open it and login or sign up for an account. Once you’re logged on, you just tap the Record button to begin recording. Then, the extension will do all the hard work for you.

Veronica Garcia has a Bachelor of Journalism and Bachelor of Science in Radio/TV/Film from The University of Texas at Austin. When she’s not writing, she’s in the kitchen trying to attempt every Nailed It! dessert, or on the hunt trying to find the latest Funko Pop! to add to her collection.

Tech News

An industry first: IBM launches quantum developer certification program

(TECH NEWS) Developers with quantum computing skills can now prove they’ve mastered the subject with IBM’s first-ever Quantum Developer Certification.

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Quantum developer looking out of the window with a three monitor setup open to various coding programs.

Last week, IBM announced its first-ever developer certification for programming quantum computers, which is also the quantum industry’s first.

“Our team is extremely proud to be able to offer the first-ever quantum developer certification,” a company blog post read. “We hope its availability will provide a valuable learning path for developers and stakeholders looking to prepare themselves for quantum computing in the future.”

The IBM Quantum Developer Certification focuses on IBM’s software tools, specifically Qiskit, their open-source software development kit for quantum computing. Launched in 2017, Qiskit already has over 600,000 installs. And, it’s being used by developers to develop apps, improve code, and participate in hackathons and summer schools.

While the Quantum Developer Certification is the only quantum certification IBM offers now, it won’t be the last. IBM says it is “the first of several in a series of certifications.” This is part of the company’s quantum development roadmap to build a “diverse, global, cloud-based ecosystem of developers who can bring quantum computing skills to their own communities and industries.”

Offered through the Pearson VUE platform, the Quantum Developer Certification exam is 60 questions long. The exam will test a developer’s competency in the fundamentals of quantum computing concepts. Also, it will examine if a person can use Qiskit SDK from the Python programming language to “create and execute quantum computing programs on IBM quantum computers and simulators.”

This certification is exciting for the quantum community because it will officially demonstrate a person’s mastery of quantum computing. And, for the most part, I think most of us can agree that certifying your skills looks good on resumes, and it shows employers you’re serious about your career. However, getting one can be costly. Currently, IBM doesn’t have any scholarships in place, but they say they are working on rolling one out to those who are interested in getting certified.

Along with the certification, IBM is also supporting educators to prepare the future quantum workforce. They are giving educators access to IBM Quantum tools through their Quantum Educators Program and semester-long quantum computing course, Introduction to Quantum Computing and Quantum Hardware, and its free Qiskit digital textbook.

According to a report, quantum computing is predicted to become a $65 billion industry by 2030, and IBM wants to help companies “get their workforce quantum ready” for when it does.

“With our IBM Quantum Developer Certification, IBM Quantum is offering a path for people with all development backgrounds to earn a certification in programming with Qiskit, allowing them to leverage their quantum coding skills into a potential opportunity in this exciting new workforce,” the company blog post read.

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Tech News

Facebook is cracking down on Groups, here’s what you should know

(SOCIAL MEDIA) Facebook will be holding Facebook Groups who break the terms of service accountable with stricter punishments.

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Facebook Groups open on laptop in front of business woman dressed in white blouse.

In light of the capitol riots—and an increase in things like hate speech and vaccine conspiracies in the days leading up to them—Facebook will be holding Facebook Groups accountable in the days to come.

Facebook users have always had some degree of moderation, but much of that accountability has been contingent on others reporting errant behavior, often necessitating multiple reports across the board before resulting in some kind of action from the social media platform. This new initiative will put the magnifying glass over groups in general, making it harder for them to contain or endorse content that violates Facebook’s terms of use.

Penalties for breaking those terms will vary, but may include anything from restrictions to immediate removal from the platform depending on how “egregious” the offense is. Repeat offenders will eventually be removed.

Those restrictions aren’t exactly opaque, either. Facebook’s VP of engineering, Tom Alison, made the platform’s new priorities clear in a recent blog post: “Groups and members that violate our rules should have reduced privileges and reach, with restrictions getting more severe as they accrue more violations, until we remove them completely.”

This isn’t the first time that Facebook has addresses issues with their Groups system. They stopped recommending political groups to users outside of those communities back in November—something they said would not change after the election—and their push to show people who aren’t in Groups content from ones that might be interesting to them seems to be slowing.

In fact, those recommendations will be a factor in taking away power from Groups who break the guidelines. Offending Groups won’t necessarily show up in people’s recommendations—or they will show up far lower than other Groups—thus decreasing the number of people who can access them.

Facebook’s motive here is pretty clear. The social media platform has been criticized heavily in the past for everything from being lenient on hate speech to influencing political outcomes, and while it’s easy to deliberate the validity of some of those claims, it’s much harder to ignore the fact that the amount of harmful content on Facebook is debilitating—something against which they seem to be taking a firm stance with this new directive.

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Tech News

Internet of Things and deep learning: How your devices are getting smarter

(TECH NEWS) The latest neural network from Massachusetts Institute of Technology shows a great bound forward for deep learning and the “Internet of Things.”

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Woman using smart phone to control other devices in home, connected to deep learning networks

The deep learning that modifies your social media and gives you Google search results is coming to your thermostat.

Researchers at the Massachusetts Institute of Technology (MIT) have developed a deep learning system of neural networks that can be used in the “Internet of Things” (IoT). Named MCUNet, the system designs small neural networks that allow for previously unseen speed and accuracy for deep learning on IoT devices. Benefits of the system include energy savings and improved data security for devices.

Created in the early 1980s, the IoT is essentially a large group of everyday household objects that have become increasingly connected through the internet. They include smart fridges, wearable heart monitors, thermostats, and other “smart” devices. These gadgets run on microcontrollers, or computer chips with no processing system, that have very little processing power and memory. This has traditionally made it hard for deep learning to occur on IoT devices.

“How do we deploy neural nets directly on these tiny devices? It’s a new research area that’s getting very hot,” said Song Han, Assistant Professor of Computer Science at MIT who is a part of the project, “Companies like Google and ARM are all working in this direction.”

In order to achieve deep learning for IoT connected machines, Han’s group designed two specific components. The first is TinyEngine, an inference engine that directs resource management similar to an operating system would. The other is Tiny NAS, a neural architecture search algorithm. For those not well-versed in such technical terms, think of these things like a mini Windows 10 and machine learning for that smart fridge you own.

The results of these new components are promising. According to Han, MCUNet could become the new industry standard, stating that “It has huge potential.” He envisions the system has one that could help smartwatches not just monitor heartbeat and blood pressure but help analyze and explain to users what that means. It could also lead to making IoT devices far more secure than they are currently.

“A key advantage is preserving privacy,” says Han. “You don’t need to transmit the data to the cloud.”

It will still be a while until we see smart devices with deep learning capabilities, but it is all but inevitable at this point—the future we’ve all heard about is definitely on the horizon.

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