Today, a patent application for making Amazon’s voice assistants more personal highlights the race – and roadblocks – to creation of an AI-powered…
The company’s ad overhaul has largely worked in its favor based on its recent earnings report
A patent from Microsoft that aims to make AI model integration more seamless highlights the bumpy road it may face with Copilot adoption
Tech like this could keep Meta’s models from prompt attack data slips — or at least give it some “thought leadership brownie points.”
Given the company’s dominance in workplace and productivity tech, it may have an edge in embedding generative AI into work routines.
Intel’s recent patent could help track down when AI slips up after it’s shipped out.
Given that AI systems can’t always be totally accurate, observing when they make mistakes could mitigate a lot of harm.
Wells Fargo’s recent patent wants to make sure you can trust the cloud.
Adobe’s recent patent signals that it may be creating a marketing co-pilot.
Philips’ latest patent could predict how long you’ll be in the waiting room.
Raytheon’s patent to create sophisticated synthetic image data could allow the firm to generate large, robust datasets.
Though AI has the potential to make troubleshooting issues a much more streamlined process, models still often face accuracy issues.
Amazon wants to keep its AI models on a leash.
Using AI in this manner comes with its own set of risks, one expert said.
And Amazon wants to help machine learning models unlearn bad data.
Google wants its robots to pay closer attention to the people around them.
Uber wants to know how you feel before you even get into your ride.
The company’s latest filing adds another solution to several aiming to tackle the ever-present issue of bias at the source.
JPMorgan Chase is tackling human biases with two recent patents.
Microsoft may want its language models to prove their worth.