President Donald Trump's new "American A.I. Initiative" is designed to place the United States at the forefront of artificial intelligence research. But the executive order itself is reportedly pretty broad about how the nation can actually achieve global A.I. superiority. According to Axios and other sources, there's no new federal funding allocated for artificial-intelligence and machine learning projects; instead, government agencies are asked to shift existing funding to A.I. research, as well as open up datasets, models, and other resources to researchers and other tech pros--potentially fueling new inventions. The National Institute of Standards and Technology (NIST) is also tasked with creating standards for safe and reliable A.I. systems. Government agencies will introduce fellowships and skills programs that will retrain workers to deal with an A.I.-centric future.
The Secretary of State for Health and Social Care commissioned The Topol Review: Preparing the healthcare workforce to deliver the digital future, as part of the draft health and care Workforce Strategy for England to 2027 – Facing the Facts, Shaping the Future. The Topol Review, led by cardiologist, geneticist, and digital medicine researcher Dr Eric Topol, explores how to prepare the healthcare workforce, through education and training, to deliver the digital future. Dr Topol appointed a Review Board and three Expert Advisory Panels. HEE provided the secretariat team to facilitate the Review. The Topol Review is now published and it makes recommendations that will enable NHS staff to make the most of innovative technologies such as genomics, digital medicine, artificial intelligence and robotics to improve services.
AI startups experienced their best funding year ever, raising a record $9.33 billion, or nearly 10% of last year's total VC investments that reached $99.5 billion, an 18-year high since the dot-com era.Getty The Artificial Intelligence (AI) winter is definitely over. As venture capital (VC) funding nears record since the dot-com era, with U.S. companies raising $99.5 billion versus $119.6 billion in 2000 according to the latest PwC MoneyTree Report, AI startups also experienced their best year ever, raising a record $9.33 billion, or nearly 10% of last year's total VC investments. Since 2013, VC investments in AI startups had regularly increased over the following four years, with a compound annual growth rate (CAGR) of about 36%. However, AI-related funding significantly jumped last year, increasing 72% compared to 2017, despite a dip in deal activity, with 466 startups funded from 533 in 2017, and after increasing for four years. The report also reveals that seed-stage deal activity among AI-related companies rose to 28% in the fourth-quarter of 2018, compared to 24% in the three months prior, while expansion-stage deal activity jumped to 32%, from 23%.
The U.S. military wants to expand its use of artificial intelligence in warfare, but says it will take care to deploy the technology in accordance with the nation's values. The Pentagon outlined its first AI strategy in a report released Tuesday. The plan calls for accelerating the use of AI systems throughout the military, from intelligence-gathering operations to predicting maintenance problems in planes or ships. It urges the U.S. to advance such technology swiftly before other countries chip away at its technological advantage. "Other nations, particularly China and Russia, are making significant investments in AI for military purposes, including in applications that raise questions regarding international norms and human rights," the report says.
Slate Plus members get extended, ad-free versions of our podcasts--and much more. Sign up today and try it free for two weeks. Copy this link and add it in your podcast app. For detailed instructions, see our Slate Plus podcasts page. Listen to Amicus via Apple Podcasts, Overcast, Spotify, Stitcher, or Google Podcasts.
This week, President Donald Trump signed a new executive order on artificial intelligence and the Pentagon declassified part of its AI strategy. Neither was a first attempt at a national AI strategy. In 2016, the Obama administration published a comprehensive plan on the future of AI, which never had time to gain the momentum it needed in government. The Pentagon has been researching intelligent machines for the better part of 60 years, and only recently did it come to a consensus: Our future wars will be fought in code, using data and algorithms as powerful weapons. Using AI techniques, a military can "win" by destabilizing an economy rather than demolishing countrysides and city centers.
The US government averted another shutdown when Donald Trump instead opted to declare a national emergency to fund his border wall dreams--a wall which raises huge privacy and security concerns and will cause more problems than it solves. As the country digested the national emergency, cybersecurity workers were still scrambling to clean up the security nightmare wrought by the longest shutdown in history. Amid all the border wall news this week, you'd be forgiven for missing that the president also signed an executive order creating the American AI Initiative. In an op-ed for WIRED, White House deputy assistant to the president for technology policy Michale Kratsios explained why AI strategy is a security issue. Speaking of AI, to combat the growing threat of deep fakes, a new tool uses the blockchain to monitor video for tampering and manipulation.
The UK government has announced that it plans to invest in 40 artificial intelligence (AI) and data analytics projects to boost productivity and improve customer service in the UK insurance, accountancy, and legal services industries. The government has pledged £13 million to support these collaborative industry and research projects and develop the next generation of professional services. One of these projects, developed by Intelligent Voice Ltd, Strenuus Ltd. and the University of East London, will combine AI and voice recognition technology to detect and interpret emotion and linguistics to assess the credibility of insurance claims. Another project is an analysis tool that looks at images collected by drone to assess flood-damaged areas, using a 3D image recognition system to evaluate flood extent and depth alongside impacts on buildings and infrastructure to help with insurance claim assessments. Other examples include an online bot that uses AI to provide answers to online legal questions and software that analyses accounting data and suggests ways to cut expenditure.
A project to develop breakthrough artificial intelligence technology for the anti-fraud sector is one of a number of new projects set to receive funding to enable the UK accountancy, insurance and legal services industries to transform how they operate. The artificial intelligence software, being developed by Intelligent Voice Ltd, Strenuus Ltd. and the University of East London will combine AI and voice recognition technology to detect and interpret emotion and linguistics to assess the credibility of insurance claims. The project is one of 40 backed by £13 million in Government investment to support collaborative industry and research projects to develop the next-generation of professional services. Artificial intelligence and data are transforming industries across the world.We are combining our unique heritage in AI with our world beating professional services to put the UK at the forefront of these cutting-edge technologies and their application. We want to ensure businesses and consumers benefit from the application of AI - from providing quicker access to legal advice for customers, to tackling fraudulent insurance claims, these projects illustrate our modern Industrial Strategy in action.