Technology


Germany won't export arms to Saudi 'in current situation': Merkel

The Japan Times

BERLIN – German Chancellor Angela Merkel said Sunday that Berlin would not export arms to Saudi Arabia for now in the wake of dissident journalist Jamal Khashoggi's violent death. "I agree with all those who say when it comes to our already limited arms exports (to Saudi Arabia) that they cannot take place in the current situation," she told reporters at her party headquarters. Her foreign minister, Heiko Maas, had already said on Saturday that he currently saw "no basis for decisions in favor of arms exports to Saudi Arabia. Germany last month approved €416 million ($480 million) worth of arms exports to Saudi Arabia for 2018. In the past, military exports by Berlin to Riyadh have mostly consisted of patrol boats. Merkel reiterated that she condemned Khashoggi's killing "in the strongest terms" and saw an "urgent need to clear up" the case. "We are far from seeing everything on the table and the perpetrators being brought to justice," she said. Merkel added that she would continue to consult with international partners about a coordinated reaction to the case. Germany and Saudi Arabia only returned their ambassadors in September after 10 months of frosty relations following criticism from Berlin of what it said was Saudi interference in Lebanese affairs. The Khashoggi case has opened a serious new rift with European partners Britain, France and Germany saying in a joint statement earlier that Saudi Arabia must clarify how Khashoggi died inside its Istanbul consulate, and its account must "be backed by facts to be considered credible.



Home - deeplearning.ai

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Whether you want to build algorithms or build a company, deeplearning.ai's Deep Learning is a superpower. With it you can make a computer see, synthesize novel art, translate languages, render a medical diagnosis, or build pieces of a car that can drive itself. If that isn't a superpower, I don't know what is. Head to our forums to ask questions, share projects, and connect with the deeplearning.ai


Word Embeddings and Document Vectors: Part 2. Order Reduction

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In the previous post Word Embeddings and Document Vectors: Part 1. Similarity we laid the groundwork for using bag-of-words based document vectors in conjunction with word embeddings (pre-trained or custom-trained) for computing document similarity, as a precursor to classification. It seemed that document word vectors were better at picking up on similarities (or the lack) in toy documents we looked at. We want to carry through with it and apply the approach against actual document repositories to see how the document word vectors do for classification. This post focuses on the approach, the mechanics, and the code snippets to get there. The results will be covered in the next post in this series.


China spotlight: next AI superpower?

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Perhaps China's biggest advantage is the sheer quantity of its data. Tencent's WeChat platform alone has over 889 million daily active users. Chinese e-commerce purchases are almost double U.S. totals. But China's data advantage involves more than just quantity. As China witnesses an explosion of O2O (online-to-offline) startups, their data is creating a new intelligence layer unparalleled in the West.


Medical Imaging Analysis using PyTorch – dair.ai – Medium

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I truly believe that artificial intelligence (AI) will shape our future and will bring tremendous impact and applications in industries such as health and agriculture. One of the things that I aim to achieve with dair.ai is to discuss interesting open-source AI technologies that help to address important problems such as medical diagnosis and personalized learning. One of the tools that have caught my attention this week is MedicalTorch (developed by Christian S. Perone), which is an open-source medical imaging analysis tool built on top of PyTorch. It contains a set of loaders, pre-processors and utility functions to efficiently and easily analyze medical images such as those acquired from magnetic resonance imaging (MRI) scans. In this post, I will summarize some of the functionalities offered by the medicaltorch library and how it can be used to conduct medical imaging analysis.


U.S. Military New Secret Technology Super Micro Drone Swarm

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US Military New Secret Technology Super Micro Drone Swarm https://youtu.be/rFrB-3D2p-A The US military has launched 103 miniature swarming drones from a fighter jet during a test in California. Three F/A-18 Super Hornets were used to release the Perdix drones last October. The drones, which have a wingspan of 12in (30cm), operate autonomously and share a distributed brain. A military analyst said the devices, able to dodge air defence systems, were likely to be used for surveillance.


Tech visions that will become a reality in the next 25 years

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It is unbelievable how technology has developed over the last decade. Given this speed of development, tech predictions have a strong potential for becoming part of our everyday lives by 2040. Though it might sound absurd now, but in the next 40 years driving your own car may become illegal in order to avoid the dangers of inadequate human reflexes. Market research companies like Deloitte predict that there is a future where you cannot drive the car you have paid for. As machines become more and more intelligent, they will usher in fundamental changes to our everyday routines, just like smartphones did in the last decade.


Free eBook: Enterprise AI - An Applications Perspective

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Enterprise AI: An applications perspective takes a use case driven approach to understanding the deployment of AI in the Enterprise. Designed for strategists and developers, the book provides a simple and practical roadmap based on application use cases for AI in Enterprises. The authors (Ajit Jaokar and Cheuk Ting Ho) are data scientists and AI researchers who have deployed AI applications for Enterprise domains. The book is used as a reference for Ajit and Cheuk's new course on Implementing Enterprise AI. The term'Enterprise' can be understood in terms of Enterprise workflows.


How smarter machines can make us smarter humans

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Another industry that's starting to hone in on specific business use cases, instead of taking a technology-first approach, is financial services. Though the last few years have mainly seen companies looking at AI in the forms of automating content operations, enhancing trading tools and improving customer service, they're now demonstrating how AI can tackle much larger societal issues such as financial crime. Currently, only 1% of financial crime that happens through the banking system is stopped. AI has a real opportunity to bring together industry, government and regulators to consider a new approach. Various businesses – both start-ups and larger corporations alike – are making strides in fraud identification, sanctions screening, money-laundering, anti-bribery and corruption.