The ability to learn from experience will likely be a key in enabling robots to help with complex real-world tasks, from assisting the elderly with chores and daily activities, to helping us in offices and hospitals, to performing jobs that are too dangerous or unpleasant for people. However, if each robot must learn its full repertoire of skills for these tasks only from its own experience, it could take far too long to acquire a rich enough range of behaviors to be useful. Could we bridge this...
Recently, there have been significant advances in Machine Learning that enable computer systems to solve complex real-world problems. One of those advances is Google’s large scale, graph-based machine learning platform, built by the Expander team in Google Research. A technology that is behind many of the Google products and features you may use everyday, graph-based machine learning is a powerful tool that can be used to power useful features such as reminders in Inbox and smart messaging in Allo,...
Ten years ago, we announced the launch of Google Translate, together with the use of Phrase-Based Machine Translation as the key algorithm behind this service. Since then, rapid advances in machine intelligence have improved our speech recognition and image recognition capabilities, but improving machine translation remains a challenging goal.
Today we announce the Google Neural Machine Translation system (GNMT), which utilizes state-of-the-art training techniques to achieve the largest improvements...
What’s the deal with young people these days? Well, in the context of lawyers, the young are leading the way with technology. A recent Reuters blog pegs the innovators’ age range between generations Y (born mid-70s to early 2000s) and Z (the 90s – 2000s), within which lie the individuals that are transforming the future of legal services.
And nothing looks to impact law more significantly in the coming decade than artificial intelligence (AI). The real-world benefit of its application is “continuing...
This week in AI, we do away with the idea of lawyers being behind the times and focus on legislators, regulators and litigators forging ahead.
Lawyers are often perceived as taking an antiquated view toward their practice, taking comfort in the simplicity of boxes packed to the brim with papers and teams of reviewers tediously scanning each one for information relevant to the case. This comfort, so the generality goes, evokes an adverse response to technologies and vendors promising tools that...
In the late 20th century, while the blue-collar working class gave way to the forces of globalization and automation, the educated elite looked on with benign condescension. Too bad for those people whose jobs were mindless enough to be taken over by third world teenagers or, more humiliatingly, machines. The solution, pretty much agreed upon across the political spectrum, was education. Americans had to become intellectually nimble enough to keep ahead of the job-destroying trends unleashed by technology,...
Faced with the claim that AI and robots are poised to replace most of today’s workforce, most mainstream professionals — doctors, lawyers, accountants, and so on — believe they will emerge largely unscathed. During our consulting work and at conferences, we regularly hear practitioners concede that routine work can be taken on by machines, but they maintain that human experts will always be needed for the tricky stuff that calls for judgment, creativity, and empathy.
Our research and analysis...
A new kind of computer, devised by researchers at Google DeepMind in the U.K., could broaden the abilities of today’s best AI systems by giving them an important new feature—a kind of working memory.
The researchers show that the computer, which consists of a large neural network connected to a unique form of memory, can perform relatively complex tasks by figuring out for itself what information to hold in its memory. The tasks include figuring out the best way to get from one station to another...
The super-computer powered by artificial intelligence prescribes leukemia treatment within minutes.
IBM's Watson, a super computer powered with artificial intelligence, will have the medical profession looking over their shoulders after correctly diagnosing a patient within minutes – something doctors failed to do after months.
The mighty machine spent just ten minutes studying the patient's medical information and was able to cross-reference her condition against 20 million oncological records,...