It happened recently as I was looking at demonstrations of two very interesting new technology-based companies that help automate due diligence processes.
eBrevia and Diligence Engine use machine-leaning technology to help lawyers review large sets of contracts in M&A situations, looking for risks and pitfalls.
They are both classic examples of the type of technological innovation that’s happening at lightning speed in the legal industry today. They are addressing an enormous pain point in the industry:...
Overall, there is a lack of trust in institutions among the general population and many lawyers apparently share in this skepticism when it comes to technology.
The recently released 2015 Edelman Trust Barometer showed that issues related to trust are actually “hindering acceptance of technological advancements.”
One of the key findings of the survey of the general population globally is that innovation is happening too quickly. Some 51 percent of the respondents said that the pace of development...
Unlike other cognitive technology that responds rather mechanically, Watson can learn over time like a human brain, and understands the concept of probability, which makes it sophisticated and more human-like for applications, according to IBM.
"It depends on the context of the conversation as to what the right answer would be," as opposed to how a computer would generally try to answer correctly, Gold told The Associated Press. "The world is seldom absolute."
* * *
Son said Pepper will...
Driver-on-demand service Uber is building a robotics research lab in Pittsburgh, PA to “kickstart autonomous taxi fleet development,” sources close to the decision have confirmed to TechCrunch. They say the company has hired talent from Carnegie Mellon University’s Robotics Institute, including lead engineering and commercialization experts.
No one at Carnegie Mellon or Uber agreed to discuss the deal on the record but an announcement should be forthcoming. Update: Uber published a blog...
You win some, you lose some. For statistician extraordinaire, Nate Silver, he did both with his Super Bowl prediction, nailing that it would be tight game, but giving Seattle a slight edge.
Silver's data-driven predictions in sports and politics have earned him an almost cult-like following. But Silver admits, the prediction business is tough. Here in New York, many of us still haven’t forgiven local meteorologists for incorrectly forecasting a blizzard last week, even if they did a better job with...