On a tower in the Brazilian rain forest, a sentinel scans the horizon for the first signs of fire. They don't blink or take breaks, and guided by artificial intelligence they can tell the difference between a dust cloud, an insect swarm and a plume of smoke that demands quick attention. In Brazil, the devices help keep mining giant Vale working, and protect trees for pulp and paper producer Suzano. The equipment includes optical and thermal cameras, as well as spectrometric systems that identify the chemical makeup of substances. By linking them to artificial intelligence, a small Portugal-based company working with IBM Corp. believes it can help tame the often unpredictable affects of climate change.
Machine Learning, a recurrent and obvious topic in Science and Technology, will also radically change the way research is carried out in the Social Sciences and the Humanities in a near future. A close cooperation between SSH scholars and computer scientists could have a huge impact on both SSH and STEM (Science, Technology, Engineering and Mathematics) related research topics. On the one hand, social scientists and humanities scholars may not be able to design and implement themselves the machine learning algorithms they need for their research. The role of a linguist, a historian or a social scientist should be thus to help computer scientists outperform current machine learning models by offering them theoretical approaches both could adapt together to improve their accuracy. This conference, organised by the Social Sciences and Humanities Working Group of the Coimbra Group, will explore the practical possibilities Machine Learning offers to selected research fields within SSH, particularly linguistics, literature, musicology, and sociology.
Machine learning, a branch of artificial intelligence, has become more accurate than human medical professionals in predicting incidence of heart attack or death in patients at risk of coronary artery disease. Machine learning, a branch of artificial intelligence, was more accurate than human medical professionals in predicting myocardial infarction (MI) or death among patients suspected of having coronary artery disease (CAD), according to an abstract presented at the 2019 International Conference on Nuclear Cardiology and Cardiac CT, held May 12-14 in Lisbon, Portugal. Physicians routinely make treatment decisions using risk scores, which are based on few variables and are typically only moderately accurate for individual patients. Machine learning can use repetition and adjustment to exploit large quantities of data and identify complex patterns that may go unnoticed by humans. "Humans have a very hard time thinking further than three dimensions (a cube) or four dimensions (a cube through time)," said the study's lead researcher, Luis Eduardo Juarez-Orozco, MD, PhD, in a statement.
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Speaking at a conference in Lisbon, Portugal shortly before his death, Stephen Hawking told attendees that the development of artificial intelligence might become the "worst event in the history of our civilization," and he had every reason for concern. Known as an artificial superintelligence (ASI) by AI researchers, ethicists, and others, it has the potential to become more powerful than anything this planet has ever seen and it poses what will likely be the final existential challenge humanity will ever face as a species. To better understand what concerned Stephen Hawking, Elon Musk, and many others, we need to deconstruct many of the popular culture depictions of AI. The reality is that AI has been with us for a while now, ever since computers were able to make decisions based on inputs and conditions. When we see a threatening AI system in the movies, it's the malevolence of the system, coupled with the power of a computer, that scares us.
Unbabel's "Translation as a Service" platform allows modern enterprises to understand and be understood by their customers in dozens of languages. Powered by AI and refined by a global community of tens of thousands of human linguists, Unbabel delivers professional-grade content at the scale required by modern enterprises like Facebook, Microsoft, Under Armour, Pinterest and Expedia. Backed by Scale Venture Partners, Notion, Microsoft Ventures, Salesforce Ventures, Samsung NEXT and Y Combinator, Unbabel is accelerating the shift to a world without language barriers. We are a diverse team, working everyday to build an outstanding organisational culture, based on strong values of transparency, team spirit and continuous learning, with a fast paced Silicon Valley atmosphere in the beautiful city of Lisbon, Portugal. We are looking for an experienced Site Reliability/DevOps to create and maintain the Unbabel Infrastructure as well as help in developing the core processes for the rest of the Unbabel development team.
AI systems excel in pattern recognition, so much so that they can stalk individual zebrafish and fruit flies even when the animals are in groups of up to a hundred. To demonstrate this, a group of researchers from the Champalimaud Foundation, a private biomedical research lab in Portugal, trained two convolutional neural networks to identify and track individual animals within a group. The aim is not so much to match or exceed humans' ability to spot and follow stuff, but rather to automate the process of studying the behavior of animals in their communities. "The ultimate goal of our team is understanding group behavior," said Gonzalo de Polavieja. "We want to understand how animals in a group decide together and learn together."
The 2018 program brought 24 aspiring data scientists from across the world to Chicago and 15 to Lisbon. They were current (or recent) graduate and undergraduate students from quantitative and computational fields – from computer science and machine learning, to statistics, math, physical sciences and engineering, to social sciences, public health and public policy. From May 28th to August 17th, they worked in teams of 3-4 on data science projects in partnership with nonprofits and government agencies, to tackle data-intensive high impact problems in education, public health, public safety, criminal justice, environmental issues, city operations, and social services, learning from full-time experienced mentors and project managers.
Matthew Braga is the senior technology reporter for CBC News, where he covers stories about how data is collected, used, and shared. If you have a tip, you can contact this reporter securely using Signal or WhatsApp at 1 416 316 4872, or via email at firstname.lastname@example.org. For particularly sensitive messages or documents, consider using Secure Drop, an anonymous, confidential system for sharing encrypted information with CBC News.
Thanks to another round of funding, Neo4j is investing in how its graph database technology can combine with artificial intelligence. Speaking to ZDNet from November's WebSummit in Lisbon, the company's founder, Emil Eifrem, discussed his plans. ZDNet: Your latest round of funding raised $89m, how to you intend spending it? Eifrem: I think there are two broad vectors that I want to invest in. The first is the increasing traction in the enterprise space.