The New York Times reported that “with the help of artificial intelligence, a growing number of scientists say changes in the way they can analyze massive amounts of seismic data can help them better understand earthquakes, anticipate how they will behave, and provide quicker and more accurate early warnings.” The October 26, 2018 article entitled “A.I. Is Helping Scientists Predict When and Where the Next Big Earthquake Will Be” included these comments:
The new A.I.-related earthquake...
Last year, Facebook created two chatbots and asked them to begin talking to each other, practicing their negotiation skills. The bots, it turns out, were pretty good at negotiating—but they did it using their own made-up language that was incomprehensible to humans.
This is where the world is going. Computers are creating content for each other, not us. Pictures are being taken by computers, for other computers to view and interpret. It's all happening quietly, often without our knowledge...
A partnership announced today between judge-analytics company Gavelytics and remote court appearance company CourtCall will allow lawyers who are scheduled to appear before a judge via CourtCall to obtain analytics on the judge from Gavelytics that will provide insights about the judge’s patterns and propensities in decision-making.
The partnership will also help drive Gavelytics’ expansion from California, the only state it currently covers, into additional states, starting with Florida...
In a world hurtling through one technological breakthrough after another, we are entering into an exciting new era. In recent contributions to this Blog, blockchain and its potential applications in arbitration have been well-documented by practitioners and early-adopters. However, there is one exceptional feature in blockchain that might be useful in investment arbitration.
The notion of transparency was once unfamiliar in international arbitration. Nonetheless, recent regulations have popularized...
Countless dollars and entire scientific careers have been dedicated to predicting where and when the next big earthquake will strike. But unlike weather forecasting, which has significantly improved with the use of better satellites and more powerful mathematical models, earthquake prediction has been marred by repeated failure.
Some of the world’s most destructive earthquakes — China in 2008, Haiti in 2010 and Japan in 2011, among them — occurred in areas that seismic hazard maps had deemed...
Developer Josh Browder, now barely drinking age here in the US, created DoNotPay as a means of automating the process of challenging parking tickets, mainly inspired by his own excessive collection of tickets generated shortly after receiving his drivers’ license. The ChatBot – a conversational interface that prompts a user to provide information that can then be leveraged by the AI to provide answers or actions – allowed users to select one of several defenses to the ticket, enter details...
Recently, CRC Press published Data-Driven Law: Data Analytics and the New Legal Services by Edward J. Walters. The volume’s contributed chapters cover a wide range of topics at various levels of mathematical rigor, but they all underscore the importance of how data science can greatly improve the quality and efficiency of the legal process from document discovery to predicting potential judgments. While Data-Driven Law does not specifically discuss arbitration or other alternative dispute resolution...