It's Halloween and that means every article you come across will have some spooky twist. That is, until the smell of turkey starts to fill the streets. But witches and demons are no longer the threat they once were. In recent years, Halloween has summoned eerie thoughts and ideas about "the rise of the machines." So, in the spirit of the spookiest day of the year, here are some of the latest articles discussing the present and future of Machine Learning.

For the study, published in PeerJ Computer Science, researchers set a machine-learning algorithm loose on 584 cases and found that the AI could learn to predict the rulings in those cases with a relatively high percentage of accuracy. But if you're getting really excited about working with computer-lawyer-physic software in the future, well, there are a few caveats. Those 584 cases were all from the European Court of Human Rights and the analysis was based on published judgments. The program was learning to guess outcomes in a narrow class of cases, after they had already been decided. Still, the research is interesting.

Most of us can recognize an object after seeing it once or twice. But the algorithms that power computer vision and voice recognition need thousands of examples to become familiar with each new image or word. Researchers at Google DeepMind now have a way around this. They made a few clever tweaks to a deep-learning algorithm that allows it to recognize objects in images and other things from a single example--something known as "one-shot learning." The team demonstrated the trick on a large database of tagged images, as well as on handwriting and language.

This brings the three-year-old company's total funding to over $8 million. Photo taken by Alex Villafania The Department of Science and Technology (DOST) is planning to incorporate research into artificial intelligence (AI) in its 2017-2022 development agenda in an effort to ramp up the country's science and technology research programs. DOST Secretary Fortunato de la Peña said during the recent National Research and Development Conference that they intend to incorporate AI into the Philippine Development Plan called "Ambisyon Natin 2040." Researchers from the Fraunhofer Institute for Medical Image Computing (MEVIS) in Bremen, Germany have developed software that uses deep learning to facilitate the detection of tumours in progressive cancer treatment images. The package will be demonstrated in Chicago at the world's largest radiology meeting, RSNA, on 27 November to 2 December.

This story was delivered to BI Intelligence Apps and Platforms Briefing subscribers. To learn more and subscribe, please click here. On Tuesday, Twitter introduced two new features in its Direct Messages (DM) channel aimed at creating a better conversational experience for both businesses and consumers. Twitter's announcement is an attempt to replicate the same personalized, yet highly scalable environment chat apps like Messenger and Kik provide. This makes sense considering the company's struggles to remain relevant in the increasingly chat-app-centric mobile world.

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Summary: Deep learning and Big Data are being adopted in law enforcement and criminal justice at an unprecedented rate. Does this scare you or make you feel safe? When you read the title, whether your mind immediately went for the upstairs "H" or the downstairs "H" probably says something about whether the new applications of Big Data in law enforcement let you sleep like a baby or keep you up at night. You might have thought your choice of "H" related to whether you've been on the receiving end of Big Data in law enforcement but the fact is that practically all of us have, and for those who haven't it won't take much longer to reach you. There is an absolute explosion in the use of Big Data and predictive analytics in our legal system today driven by the latest innovations in data science and by some obvious applications.

Huawei's slice of the worldwide mobile pie isn't as big as it used to be, but hey -- at least it keeps getting better at making big phones. We didn't know it would be the last Nexus phone, but the 6P was a solid sendoff. Then came the enormous Mate 8, which was incredibly well built (even if the company's EMUI interface sometimes made me want to jam a fork in my eye). With the new Mate 9, however, Huawei is trying to do things a little differently. Case in point: the phone will eventually launch in the US, a first for the company's flagship phablets.

Our research shows that Python is one of the most popular languages for data science analyses, in use by more than one-third (36%) of organizations.

Machines enrich and enhance our lives, whether it's the smartphones that allow us to stay connected or the supercomputers that solve our toughest computational problems. Imagine how much more productive and innovative our world will be when computers become infinitely more powerful. Indeed, the growing field of quantum computing may make our current technological capacities look feeble and primitive in comparison. It could even transform the workings of the human brain and revolutionize how we think in ways we can't begin to imagine. Today, computers operate at the most basic level by manipulating two states: a zero or a one.