Government


How the 'California effect' could shape a global approach to ethical AI

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In response to the serious threat that AI-enabled bots and deepfakes pose for election integrity, the California government has pushed forward progressive pieces of legislation that have influenced federal and international efforts. Passed in 2018, the "Bots Disclosure Act" makes it unlawful to use a bot to influence a commercial transaction or a vote in an election without disclosure in California. This includes bots deployed by companies in other states and countries, which requires those companies to either develop bespoke standards for Californian residents or harmonize their strategies across jurisdictions to maintain efficiency. At the federal level, the "Bots Disclosure and Accountability Act" includes many of the same strategies proposed in California. The California "Anti-Deepfakes Bill" seeks to mitigate the spread and impact of malicious political deepfakes before an election and the federal "Deepfakes Accountability Act" seeks to do the same.


Amplion's Machine Learning Platform Accelerates Precision Medicine Collaboration

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Amplion, a leading precision medicine intelligence company, has released Dx:Revenue, a groundbreaking software solution that enables test providers to identify ideal pharmaceutical partnership opportunities at the right time to advance precision medicine collaboration. Dx: Revenue is an extension of Amplion's core business intelligence platform that leverages proprietary machine learning to deliver tailored insights into pharma and test developer activities. The platform draws from more than 34 million evidence sources such as clinical trials, scientific publications, conference abstracts, FDA cleared and approved tests, lab developed tests, diagnostic and drug pipelines and more in real time, producing prioritized and timely partnering opportunities that are a precise match between a test provider's capabilities and pharma's specific needs. "Precision medicine has a problem," says Chris Capdevila, CEO, Amplion. "There is an insurmountable volume of information with the potential to drive the realization of precision medicine for patients, but accessing that information strategically, effectively and quickly to make the best pharma partnering decisions is beyond human scale. Our company was founded to address this issue by providing critical evidence-based intelligence that supports the strategic decisions pharmaceutical and test developers need to make to be successful."


Computer scientists predict lightning and thunder with the help of artificial intelligence

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At the beginning of June, the German Weather Service counted 177,000 lightning bolts in the night sky within a few days. The natural spectacle had consequences: Several people were injured by gusts of wind, hail and rain. Together with Germany's National Meteorological Service, the Deutscher Wetterdienst, computer science professor Jens Dittrich and his doctoral student Christian Schön from Saarland University are now working on a system that is supposed to predict local thunderstorms more precisely than before. It is based on satellite images and artificial intelligence. In order to investigate this approach in more detail, the researchers will receive 270,000 euros from the Federal Ministry of Transport.


The Human Existential Crisis: Artificial intelligence has the potential to tackle climate change

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Climate change is the most important crisis the planet is facing today. Millions of people from all over the world took to the streets recently demanding urgent governmental action to help control the ongoing catastrophe and reverse the negative impact of climate change. We will need to marshal all our resources, including Artificial Intelligence to save our planet from peril. Some of the foremost minds in machine learning and artificial intelligence recently published a study where they outlined 13 crucial areas where machine learning can be used to mitigate the adverse effects of climate change. The recommendations they made were divided into three major categories – high leverage solutions, where machine learning can make a noticeable impact, long term solutions that will take at least a couple of decades to pay off, and finally, high risk pursuits, where the technology is either not mature enough or we don't know enough to effectively predict the consequences.


Artificial Intelligence: The Table Stakes for Success

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BMO Capital Markets is a trade name used by BMO Financial Group for the wholesale banking businesses of Bank of Montreal, BMO Harris Bank N.A. (member FDIC), Bank of Montreal Europe p.l.c, and Bank of Montreal (China) Co. Ltd and the institutional broker dealer businesses of BMO Capital Markets Corp.


Machine learning-guided channelrhodopsin engineering enables minimally invasive optogenetics

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We thank Twist Bioscience for synthesizing and cloning ChR sequences, D. Wagenaar (California Institute of Technology) and the Caltech Neurotechnology Center for building the mouse treadmill, J. Brake (California Institute of Technology) for performing spectrometer measurements, J. Bedbrook for critical reading of the manuscript and the Gradinaru and Arnold laboratories for helpful discussions. This work was funded by the Institute for Collaborative Biotechnologies grant no. W911NF-09-0001 from the US Army Research Office (F.H.A) and the National Institutes of Health (NIH) (V.G.): NIH BRAIN grant no. RF1MH117069, NIH Director's Pioneer Award grant no. DP1NS111369, NIH Director's New Innovator Award grant no.


The FCA and the Bank of England find that two-thirds of UK banks and financial service firms use machine learning

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Machine learning technology is poised to be huge thing in financial services. In fact, two-thirds of UK-based firms are already using it. That is according to two of the UK's top financial regulators. The Financial Conduct Authority (FCA) and the Bank of England have taken a deep dive into how the financial services industry in the country is using machine learning. The research is based on a survey sent out to 300 firms, including banks, credit brokers, e-money institutions, financial market infrastructure firms, investment managers, insurers, non-bank lenders and principal trading firms.



Climate Change: How Can AI Help?

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The summer of 2019 gave us some of the clearest examples yet of how climate change is transforming our world. The hottest June ever was followed up with the hottest July ever -- which also turned out to be the hottest month in recorded history. Scientists memorialized the first Icelandic glacier to lose glacier status and predicted the country would be glacier-free in 200 years. And unprecedented wildfires raged in the normally frozen Arctic, throwing up a smoke cloud nearly the size of Europe. The 2018 report from the International Panel on Climate Change gives us a stark time horizon: 20 years.


Artificial intelligence is more human than it seems. So who's behind it?

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Every summer there is a mass exodus from New York City towards the white beach at Jones Beach State Park. Here, looking out over the Atlantic Ocean, you can sunbathe, catch a concert or play a game of mini-golf. And get away from the bustle of the city. But you have to get there first. And there's something odd about the route you take. The flyovers over the Southern State Parkway that leads to Jones Beach are low.