IN THE gleaming facilities of the Wyss Centre for Bio and Neuroengineering in Geneva, a lab technician takes a well plate out of an incubator. Each well contains a tiny piece of brain tissue derived from human stem cells and sitting on top of an array of electrodes. A screen displays what the electrodes are picking up: the characteristic peak-and-trough wave forms of firing neurons. To see these signals emanating from disembodied tissue is weird. The firing of a neuron is the basic building block of intelligence.

You can create skimmers with the formula syntax from rlang! You can now control the object name output for topojson_write, and there's now an analog of geojson_sp for sf (geojson_sf) We accept community contributed packages via our onboarding system - an open software review system, sorta like scholarly paper review, but way better. We'll highlight newly onboarded packages here. A huge thanks to our reviewers, who do a lot of work reviewing (see the blog post on our review system), and the authors of the packages! If you want to be a reviewer fill out this short form, and we'll ping you when there's a submission that fits in your area of expertise.

In this paper, we extend a symbolic association framework for being able to handle missing elements in multimodal sequences. The general scope of the work is the symbolic associations of object-word mappings as it happens in language development in infants. In other words, two different representations of the same abstract concepts can associate in both directions. This scenario has been long interested in Artificial Intelligence, Psychology, and Neuroscience. In this work, we extend a recent approach for multimodal sequences (visual and audio) to also cope with missing elements in one or both modalities. Our method uses two parallel Long Short-Term Memories (LSTMs) with a learning rule based on EM-algorithm. It aligns both LSTM outputs via Dynamic Time Warping (DTW). We propose to include an extra step for the combination with the max operation for exploiting the common elements between both sequences. The motivation behind is that the combination acts as a condition selector for choosing the best representation from both LSTMs. We evaluated the proposed extension in the following scenarios: missing elements in one modality (visual or audio) and missing elements in both modalities (visual and sound). The performance of our extension reaches better results than the original model and similar results to individual LSTM trained in each modality.

They will be "weapons of terror, used by terrorists and rogue states against civilian populations. Unlike human soldiers, they will follow any orders however evil," says Toby Walsh, professor of artificial intelligence at the University of New South Wales, Australia. "These will be weapons of mass destruction. One programmer and a 3D printer can do what previously took an army of people. They will industrialise war, changing the speed and duration of how we can fight. They will be able to kill 24-7 and they will kill faster than humans can act to defend themselves."

Campaigners are renewing calls for a pre-emptive ban on so-called "killer robots" as representatives of more than 80 countries meet to discuss the autonomous weapons systems. The use of lethal autonomous weapons systems (LAWS) is "a step too far", said Mary Wareham, the global coordinator of the Campaign to Stop Killer Robots. "They cross a moral line, because we would see machines taking human lives on the battlefield or in law enforcement. "We want weapon systems and the use of force to remain under human control," Wareham said. Wareham spoke to Al Jazeera before Monday's meeting in Geneva, Switzerland on a possible ban on LAWS. This is the fifth international meeting to discuss so-called "killer robots" since 2014, but no formal decisions will be taken yet as countries are still working towards a common definition of LAWS, and have yet to agree on whether they should be outlawed in international law. This is going to be a crucial year. If we do not move swiftly, we could end up in a situation where it's too late and where fully autonomous weapons proliferate to the extent that every country has them," Wareham told Al Jazeera.

Annual salaries for data scientists and machine learning engineers vary significantly across the world. Based on a 2017 Kaggle survey of data professionals, countries with the highest paid data scientists and machine learning engineers (in USD) were: US ($120K), Australia ($111K), Israel ($88K), Canada ($81K) and Germany ($80K). Countries with the lowest annual salaries were: Brazil ($35K), Poland ($29K), Ukraine ($25K), India ($14K) and Russia ($13K). In my last post, I compared at annual salaries of different data professionals in the US. Data scientists and machine learning engineers from the US reported some of the highest salaries among different data professionals.

What do animals and galaxies have in common? The similarity is now helping conservationists monitor endangered animals that are often targeted by poachers. By deploying small drones with infrared cameras attached, scientists are developing tools for wildlife officials to watch these wild animals without disturbing them. At night, when poachers are most likely to strike, wildlife guards have a difficult time spotting animals in the dark. But on infrared cameras, they're impossible to miss.

New technologies are often touted as the solutions to our problems, as well as decried as the cause of all manner of social ills. We are told that increasing automation of jobs will mean more of us spending less time working, with ever greater responsibility handed over to software, sensors and the cloud. This week we visited some experimental projects that could offer a glimpse of our future, to see how people are grappling with the possibilities and problems of technological innovation. Reducing our working hours, while ensuring sufficient pay and essential services, is often floated as the best model for boosting productivity. It is also a seemingly inevitable byproduct of the rise of the robot worker.

The telecommunications services industry is one of the fastest growing industries in the world and is already using machine learning (ML), artificial intelligence (AI) and Internet of Things (IoT) to enhance their customer service. According to a study by Transparency Market Research (TMR), the global market for artificial intelligence is estimated to post an impressive 36.1% CAGR between 2016 and 2024, rising to a valuation of US$3,061.35 billion by the end of 2024 from US$126.14 billion in 2015. As the market is seeing a rapid growth in Europe, North America and Latin America, the telecom services spending in Asia-Pacific region was projected to grow by around 2.06% in 2016 compared to 2015. Technavio's market research analysts predict that the global telecom IoT market to grow steadily and post an impressive CAGR of more than 42% by 2020. Even as IoT is set to revolutionize industries in its own way, it is worth noting that IoT would produce terabytes, petabytes and exabytes of big data.

Researchers surveying in southern Peru with drones have captured images of ancient geoglyphs, and more than 50 of the massive ancient drawings are considered new discoveries by archaeologists. Etched into the high desert of southern Peru more than a millennium ago, the enigmatic Nasca lines continue to capture our imagination. More than a thousand of these geoglyphs (literally, 'ground drawings') sprawl across the sandy soil of Nasca province, the remains of little-understood ritual practices that may have been connected to life-giving rain. Now, Peruvian archaeologists armed with drones have discovered more than 50 new examples of these mysterious desert monuments in adjacent Palpa province, traced onto the earth's surface in lines almost too fine to see with the human eye. In addition, archaeologists surveyed locally known geoglyphs with drones for the first time--mapping them in never-before-seen detail.