Critics' corner: The WSJ editorial board said Mr. Cohn's departure was "a significant blow" to Mr. Trump's presidency. The NYT editorial board said Mr. Cohn had done "an awful job," which still probably represented "the high-water mark for economic thinking" for this White House. And his former boss, Lloyd Blankfein, said he had served his country "in a first class way." Today's DealBook Briefing was written by Andrew Ross Sorkin on the road, and Michael J. de la Merced and Amie Tsang in London. The political bloc formally announced its plan to counterattack, including taxing American goods like Harley-Davidsons and bourbon and filing a challenge with the World Trade Organization.

Google's artificial intelligence technologies are being used by the US military for one of its drone projects, causing controversy both inside and outside the company. Google's TensorFlow AI systems are being used by the US Department of Defense's (DoD) Project Maven, which was established in July last year to use machine learning and artificial intelligence to analyse the vast amount of footage shot by US drones. The initial intention is to have AI analyse the video, detect objects of interest and flag them for a human analyst to review. Drew Cukor, chief of the DoD's Algorithmic Warfare Cross-Function Team, said in July: "People and computers will work symbiotically to increase the ability of weapon systems to detect objects. Eventually we hope that one analyst will be able to do twice as much work, potentially three times as much, as they're doing now. Project Maven forms part of the $7.4bn spent on AI and data processing by the DoD, and has seen the Pentagon partner with various academics and experts in the field of AI and data processing. It has reportedly already been put into use against Islamic State. A Google spokesperson said: "This specific project is a pilot with the Department of Defense, to provide open source TensorFlow APIs that can assist in object recognition on unclassified data.

The security industry is facing a perfect storm created by the combination of an acute skill shortage, an expanding attack surface and increasingly sophisticated adversaries. As a result, the tactics that have served us in the past will no longer suffice. The only way to battle these mounting threats is through collaboration and the strategic use of machine learning to transform computers into trusted allies in the battle against cyberattackers. Despite the best efforts of university and on-the-job trainers, the shortage of skilled security professionals is expected to reach 1.8 million unfilled jobs by 2022. This crisis comes just as the attack surface is expanding exponentially due to the proliferation of connected devices.

In a paper published recently in the Proceedings of the National Academy of Sciences (PNAS), the researchers describe a technique called "iterative Random Forests," which they say could have a transformative effect on any area of science or engineering with complex systems, including biology, precision medicine, materials science, environmental science, and manufacturing, to name a few. "Take a human cell, for example. There are 10170 possible molecular interactions in a single cell. That creates considerable computing challenges in searching for relationships," said Ben Brown, head of Berkeley Lab's Molecular Ecosystems Biology Department. "Our method enables the identification of interactions of high order at the same computational cost as main effects -- even when those interactions are local with weak marginal effects."

In 2021 the UK government intends the country to be well on its way to a driverless future. No, not a cheap joke about Brexit -- yesterday it announced a three-year regulatory review to "pave the way for self-driving cars". This follows the budget, in November, when the government announced a tranche of funding for technology innovations -- including AI and driverless cars -- and said it wants to establish a looser framework for testing self-driving vehicles "without a safety operator" with the stated aim of getting driverless cars on the roads by 2021. The law review meshes with that goal, though the government is clearly giving itself a very tight timetable for resolving regulatory complications and passing the necessary legislation. The myriad technological challenges of ensuring autonomous vehicles can operate safety and efficiently in all weather conditions are really just one portion of the challenge here.

Although the term "Chatbot" is still a buzz word to many people, this revolutionary technology has already been considered "the next big thing" due to massive benefits it can bring to companies across various industries. In this article, we will discuss several chatbot use cases to solidify our claim that businesses should embrace chatbots. According to a research conducted by Chatbots Journal, a leading chatbot community, E-Commerce will benefit the most from chatbots compared to other industries. Successful commerce relies much on B2C (Business-to-Consumer) interaction. Chatbots enrich the relationship between online shops and customers with "conversational commerce", making B2C interaction quicker and friendlier than just a mere business transaction.

When thinking of AI and its involvement in politics, it's fair to assume the stereotypes are not positive. AI's influence in politics over the past few years has come under serious fire. Facebook's algorithms, for example, have been blamed for spreading of misinformation, which heavily impacted major political events such as Brexit and the 2016 US election.

To realize that the background check industry needs an overhaul look no further than the backlog of 700,000 background checks faced by the federal agency that handles all background checks for sensitive government positions. This backlog has essentially rendered background checks useless, as many agencies are able to give security clearances on a temporary basis before a background check is even started. Intelligo is an Israeli company trying to make background checks relevant again by using AI and machine learning to not only speed up and automate the process, but also run more thorough checks. Launching out of beta today, the company has raised $6.8M to date – a seed round of $1.1M and a Series A of $5.7M. They boast investors like Eileen Murray (Co-CEO of Bridgewater Associates) and advisors like the former director of the NSA Michael McConnell and former Managing Director of the Israel Ministry of Defense Pinhas Buchris.

Robots may one day replace human crop pickers in the UK in light of a decline in the seasonal labor market. GummiArm, a soft robot capable of crop picking, is the brainchild of researchers from the University of Plymouth. Academics from the institution and producers from Cornwall have worked together to create robots which could work alongside existing employees in the crop picking industry through the Automated Brassica harvest in Cornwall (ABC) project. The aim of the project is to develop "cutting-edge technology to help with the cauliflower harvest and potentially other fieldwork operations." The GummiArm was born from this need, especially in light of labor market fluctuations following the decision on Brexit. The UK relies on migrant labor during the picking season, and over the course of the last year, there has been a 29 percent decline in worker volumes with thousands of vacancies being left unfilled.

A top bishop in the Church of England issued his "Ten Commandments of artificial intelligence," during a major policy debate in London last week, based on the importance of trust and ethics in the evolving technology. The Rt. Rev. Steven Croft, the Lord Bishop of Oxford who is a member of the House of Lords Select Committee on artificial intelligence, spoke last week at the Westminster eForum Keynote Seminar, artificial intelligence and Robotics: Innovation, Funding and Policy Priorities. Croft came up with a 10-point plan following a debate on trust, ethics, and cybersecurity, the Internet of Business website reported, which he presented before government, academics and business representatives from around the world. The so-called "10 Commandments of AI" begin with the call for AI to be "designed for all, and benefit humanity." "AI should operate on principles of transparency and fairness, and be well signposted," the list continues.