Artificial Intelligence is a big deal in today’s IT world. There are two significant movers and shakers that show up often in current AI-related news — and that’s IBM and Google. While we cover IBM’s efforts here, we’re now going to dive into what Google is up to in the world of AI.

The affinity between Google and Artificial Intelligence is appropriate. After all, Google is everywhere, and Artificial Intelligence is making in-roads into every facet of our lives. It follows that two such popular and influential forces would naturally work together in some capacity.

Let's begin by looking at what Google AI is all about, reviewing Google's AI Advancements, and then moving on to the AI projects Google is currently working on.

The Lowdown on Google AI

In 2007, Google put the wheels of mobile market domination in motion by releasing an open-source operating system for phones. It was called Android. You may have heard of it. In 2019, Google began its campaign to dominate Artificial Intelligence by releasing TensorFlow, an open-source machine learning platform.

TensorFlow consists of libraries of files that help computer scientists and researchers build systems that break down data such as voice recordings or images and allow computers to make decisions based on that information. Currently, over 50 Google products rely on TensorFlow to turn deep learning into a tool.

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Google has spent the past several years working on a vast Artificial Intelligence platform. However, they prefer the term “machine intelligence” since the phrase “Artificial Intelligence” has been around so long that it carries too many associations. Also, Google is striving to create real intelligence — it just happens to be for machines!

Google has long relied on Artificial Intelligence-related resources to power, improve, and enhance its core products such as the Google search engine, voice search, and its photos app. By releasing TensorFlow free to the public, Google gains increased exposure and benefits from the work done by researchers using the open-source system.

Artificial Intelligence drives effective search engines, and that’s what Google is all about.

What AI projects is Google Working on Lately?

Over the last year, Google Research has worked on AI projects covering many relevant topics, such as COVID-19 forecasting, weather and climate change, robotics, medical diagnostics, and natural language understanding.

Research in the future includes:

Google’s Creative Lab in Sydney, Australia, is teaming up with the Digital Writers’ Festival team and a group of industry professionals (e.g., developers, writers, engineers) to see if we can use machine learning to inspire writers and enrich their process. Google’s Creative Labs have also done similar projects in other aspects of the arts, such as music and drawing.

Good sleep is an integral part of our well-being, and Google is researching and studying sleep patterns and nighttime wellness. Sleep Sensing in Nest Hub uses radar-based sleep tracking, paired with an algorithm for snore and cough detection. This new development helps sleepers to understand how much sleep they’re getting and its quality, all while conveniently preserving their privacy. In an age where healthcare is a significant concern, this AI project empowers people and helps them practice self-care, possibly mitigating potential health issues.

No matter how many new advances we see in computer hardware, there is always room for improvement. Machine learning requires high-performance systems, and Google is researching custom accelerators such as the Edge TPUs and Google TPUs to boost available computing power. This AI project will help build more efficient hardware, give people a better grasp of accelerator design space, and unlock new capabilities.

As both Artificial Intelligence and Machine Learning keep growing in complexity and influence, we will need hardware to keep pace with these escalating demands. This need means developing more compact and efficient hardware while still delivering increasing amounts of processing power.

If there’s anything the past year’s COVID-inspired lockdowns and remote working has taught us, it’s the importance of a reliable real-time communication framework. As such, Google researchers are developing new audio and codecs to provide greater quality and minimize latency in real-time communication while using fewer data. A codec is a compression technique that decodes and encodes signals for storage or transmission. Codecs permit bandwidth-hungry applications to send data efficiently while guaranteeing high-quality communication anytime, anywhere.

This research will eventually help billions of users worldwide stay connected with high-quality audio and video, even on lower bandwidth connections. That way, even people who can’t afford the faster networks can still stay connected and conduct business without impediment.

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The rise and proliferation of big data has presented ever-growing challenges in disciplines like data mining and modeling. There is far too much information out there, and today’s businesses need better ways to handle the influx. Google Research is looking into creating more efficient algorithms, developing new machine learning approaches, or designing better privacy-preserving classification methods. Google’s continuing research into better data mining will help analysts work with the huge datasets created by both big data and the ever-growing Internet of Things. This research affects a wide swath of Google products and services and, by extension, can benefit other businesses and organizations.

That was all about AI projects.

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Do You Want a Future Career in Artificial Intelligence?

Artificial Intelligence and machine learning will play an increasingly more prominent role in our everyday lives, from work to academia to leisure activity. These are exciting fields to be a part of, and if you share that excitement, Simplilearn can give your AI-related career a boost.

The Post Graduate Program in AI and Machine Learning course, held in partnership with Purdue University and in collaboration with IBM, covers critical concepts like statistics, machine learning, deep learning, NLP, and reinforcement learning. The program is delivered through Simplilearn’s interactive learning model with live sessions by global practitioners, labs, and industry-related AI projects.

Indeed reports that Artificial Intelligence Engineers in the United States can earn a base annual salary of USD 149,184 per year. In India, Glassdoor says that Artificial Engineers can look forward to an average yearly wage of ₹ 850,396.

If you have any doubts about our Top AI project article, drop a message below. Check out Simplilearn’s AI courses today, and shape this emerging, exciting technology into a rewarding career!

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