The Daily Journal has recognized Morgan Lewis partner David Sanker among the Top 20 Artificial Intelligence (AI) Lawyers in California for 2019. David works with clients to build strong patent portfolios in a variety of areas, including AI, machine learning, natural language processing, data visualization software, large-scale database architecture and storage infrastructure, data analytics software, and touch screen technology. In a profile of the honorees, the Daily Journal highlighted David's unique background in software development. Earning a Ph.D. in mathematics, he worked as a software engineer developing large-scale data processing applications for over 10 years.

When the US Library of Congress ranked history's most important innovations, it gave a foremost place to the printing press. While the mechanics behind the printing press weren't far more sophisticated than the other machines of its era, the consequences of its invention were world changing; finally, mankind had a means for the mass distribution of information, improving literacy and changing every industry in the world. Technologies such as these are known as foundational technologies, inventions that can be applied to solve a multitude of problems across a vast number of industries. More contemporary examples include the internet which is now used nearly constantly in all industries and in our personal lives and smartphones, which are so completely integrated with our lives it seems impossible to live without them. As we peer into the near future, we can already see some of the next great potential foundational technologies arising.

The integration of AI and ML assists the marketers in identifying the target consumers and bringing them to their products. FREMONT, CA – Marketing is one of the essential components of industries across every sector. Be it a hot new startup or an age-old family business; without effective marketing, it is destined to hit the ground. The most successful organizations always have two things in common; amazing products, and ingenious marketing strategies. What can make marketing strategies more brilliant?

Qindom, the Toronto-based Quantum Machine Learning (QML) start-up, is shifting conventional pricing practices in Real Estate business. Qindom's proprietary AI technology inspired by quantum computing underpins the value of residential properties, addressing the pricing opacity between supply and demand. The team now announces the successful launch of their Real Estate Prediction and Decision Optimization Engine (hereafter, Engine), presenting prominent live results benchmarked against world-leading counterparts. "We found the key to facilitate the trillion US dollars market. Our system carries out accurate predictions on individual home values in Canada and US, and has the potential to untie the knots existing in the home buying, selling and investing process," said Yao Wang, Co-Founder of Qindom, a serial entrepreneur from Alibaba Group.

The possibility of ending partisan gerrymandering-- the practice of redrawing voting districts in favor one party over another -- was all but obliterated on Thursday, when the Supreme Court ruled in a 5-4 decision that challenges to the controversial practice cannot be heard in federal court. In an impassioned dissent, Justice Elena Kagan warned that in the era of artificial intelligence, such a move could put American democracy at risk. "Gerrymanders will only get worse (or depending on your perspective, better) as time goes on -- as data becomes ever more fine-grained and data analysis techniques continue to improve," she wrote. "What was possible with paper and pen -- or even with Windows 95 -- doesn't hold a candle (or an LED bulb?) to what will become possible with developments like machine learning. And someplace along this road, 'we the people' become sovereign no longer."

We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence. In this report, we set out to capture a snapshot of the exponential progress in AI with a focus on developments in the past 12 months. Consider this report as a compilation of the most interesting things we've seen with a goal of triggering an informed conversation about the state of AI and its implication for the future. This edition builds on the inaugural State of AI Report 2018, which can be found here: www.stateof.ai/2018 We consider the following key dimensions in our report: - Research: Technology breakthroughs and their capabilities.

Imagine a network of mine sites operated remotely--drilling, analysing core samples, collecting and interpreting data wirelessly from machine to machine, and transmitting real-time information into the cloud, absolutely without physical, human touch. In fact, it is fast becoming the reality in an industry that's increasingly powered by artificial intelligence a.k.a When we think of AI, we think of robots and machines capable of independent thought or autonomous movement. These are possibilities, and even realities, in today's world where practically anything can be automated. AI, however, goes beyond hardware, and its applications are farther-reaching than we can perhaps imagine.

The OECD Principles on Artificial Intelligence promote artificial intelligence (AI) that is innovative and trustworthy and that respects human rights and democratic values. They were adopted on 22 May 2019 by OECD member countries when they approved the OECD Council Recommendation on Artificial Intelligence. The OECD AI Principles are the first such principles signed up to by governments. Beyond OECD members, other countries including Argentina, Brazil, Colombia, Costa Rica, Peru and Romania have already adhered to the AI Principles, with further adherents welcomed. The OECD AI Principles set standards for AI that are practical and flexible enough to stand the test of time in a rapidly evolving field.

Ruha Benjamin is an associate professor of African American studies at Princeton University, and lectures around the intersection of race, justice and technology. She founded the Just Data Lab, which aims to bring together activists, technologists and artists to reassess how data can be used for justice. Her latest book, Race After Technology, looks at how the design of technology can be discriminatory. Where did the motivation to write this book come from? It seems like we're looking to outsource decisions to technology, on the assumption that it's going to make better decisions than us.

The weekend felt like an eternity for the 13-year-old. So when she handed back her "robot baby" it was with great relief. She had taken part in a program launched by the Caldas municipality in Colombia to try to tackle the problem of teenage pregnancies. "This experience was pretty tough, it's not easy being a mommy or a daddy," Ortegon said. The baby's cries were so loud that they even bothered her parents.