For years, the network fabric inside data centers were built for relatively predictable traffic flows. Testing this ...
New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers redesigned AI systems to better resemble biological brains, some models produced ...
You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. Follow Hugh Langley Every time Hugh publishes a story, you’ll get an alert straight to your inbox!
AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is ...
Google DeepMind researchers have found a new way to make use of data deemed unsafe for AI training. Labs try to avoid data that is toxic, inaccurate, or contains personally identifiable information.
Hosted on MSN
A key type of AI training data is running out. Googlers have a bold new idea to fix that.
Google DeepMind researchers have an idea for how to solve the AI data drought, and it might involve your Social Security number. The large language models powering AI require vast amounts of training ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results