In recent months, tech giant Google has taken serious steps to give its artificial intelligence-powered assistant a significant boost. On July 14, it released a new update for Google Assistant that included improvements to natural language processing, the technology behind helping the assistant understand voice commands.
The new update is intended to improve the Google Assistant’s ability to understand spoken commands more accurately and quickly. It has upgraded features that will allow the assistant to handle more complex spoken questions better than before. Also, users can now search by voice for information such as movie times and restaurant menus, or do math and calculations.
Google has made similar updates for its voice-activated assistant in the past. But this latest one, with its AI-enhancements, is the most significant to date. With these improvements, it’s now far better equipped to recognize and respond to users’ questions and instructions.
It’s been said that AI-powered assistants are poised to become a powerful tool, not least in replacing traditional human call centers. But will these upgrades to Google Assistant make it smarter?
The short answer is no. AI-powered assistants are still rudimentary, and while they can understand spoken instructions better than before, they’re far from being able to match human knowledge and wisdom. While they can complete tasks such as making phone calls and setting reminders, AI-powered assistants are still years away from being able to engage in complex conversations or substitute for humans in personal or professional settings.
Google’s AI-driven assistant can perform mundane tasks more efficiently, and although it may eventually become the go-to assistant for basic requests, it may never become “smarter” than humans in terms of processing data and understanding the world.
In short, Google’s AI-driven assistant update has made Google Assistant more capable than ever before. It can now understand spoken commands more accurately and quickly, helping you complete mundane tasks more efficiently. But it still has a long way to go before becoming “smarter” than humans in the true sense.
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