We've most certainly learnt a thing or two about what makes a thorough and informative salary report since conducting our first salary survey in 2017. Our European Salary Report for 2020 has seen a response of more than one thousand participants which has enabled us to provide a truly data rich and comprehensive insight on what the Data Science market currently looks like. The top countries to provide responses to our survey during 2019 came from Germany, France, Switzerland, The Netherlands and The UK. Much like our 2019 survey, many respondents were Data Scientists, but we've also collected results from Data Engineers, Researchers, Machine Learning Engineers and C-Level professionals. This report covers a broad scope of professions in the European data science market at all levels.
A German court has fined and banned a Tesla owner from driving for one month after a crash that happened while the driver was using the car's built-in touchscreen dashboard to adjust windshield-wiper settings. Surprisingly, this case didn't involve Tesla's Autopilot system, which was activated in multiple crashes in the US and has drawn sharp criticism from the US National Transportation Safety Board. As reported by German tech site Golem, a regional court judge in Germany decided that the Tesla S's touchscreen user interface for controlling the intervals of the windshield wiper required too much attention from the driver. It therefore found him in breach of road-traffic regulations designed to stop people being distracted by their phones while driving. The decision, made in the Karlsruhe district court, involved a non-fatal crash in heavy rain on a federal highway.
This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. We usually don't expect the image of a teacup to turn into a cat when we zoom out. But in the world of artificial intelligence research, strange things can happen. Researchers at Germany's Technische Universität Braunschweig have shown that carefully modifying the pixel values of digital photos can turn them into a completely different image when they are downscaled. What's concerning is the implications these modifications can have for AI algorithms.
Over the past decade, many organizations have come to recognize that their future success will depend on data and AI (artificial intelligence) capabilities. Expectations are high and companies are heavily investing in the area. However, our experience advising organizations in diverse industries suggests that many have also become disillusioned in their journey to create companywide, data-driven business transformation. This article discusses some of the common pitfalls in the implementation of data and AI strategies and gives recommendations for business leaders on how to successfully include data and AI in their business processes. These recommendations address the core enablers for data and AI capabilities, from setting the ambition level to hiring the right talent and defining the AI organization and operating model. Many companies are currently investing in data and artificial intelligence (AI). Since the terminology varies, the activities may be called AI, advanced analytics, data science, or machine learning, but the goals are the same: to increase revenues and efficiency in current business and to develop new data-enabled offerings. In addition, many companies see an increasing responsibility to contribute their AI expertise toward humanitarian and social matters. It is well understood that to stay competitive in the digital economy, the company's internal processes and products need to be smart--and smartness comes from data and AI. Over the past 4 years, our company DAIN Studios has been involved in more than 40 Data and AI initiatives in different companies and industries in Finland, Germany, Austria, Switzerland, and the Netherlands. Our clients are typically large, publicly listed companies.
It is gradually finding its way to the public and private board room discussions and government policies. Even countries like Germany, which were lagging in the AI race, have gone through tremendous change in the past few years. According to PwC research, by 2030, Germany alone shall have Gross Domestic Product (GDP) up by 11.3% and generate €430 billion due to AI. And by percentage, this potential is more than most of the other European Nations. This makes the country as Europe's largest economy, with a thriving market and high potential for new to market brands. The study also that industries like healthcare, energy, and the auto industry will benefit from significant productivity gains by adopting AI applications.
Distinguishing between individual animals is important for long-term monitoring of populations and protecting species from pressures such as climate change. However, it is also one of the most expensive, troublesome, and time-consuming aspects of animal behaviour research. While some creatures such as leopards have unique markings which allow humans to recognise individuals by eye, most species require additional visual identifiers such as coloured bands to be distinguished. Attaching bands to birds' legs can be stressful and disruptive to the animals, limiting the scope of research. Seeking an alternative method for distinguishing between individual birds, researchers from institutes in France, Germany, Portugal, and South Africa developed the first AI bird identification tool of its kind.
Riot is adding another heroic'agent' to Valorant, its currently PC-exclusive first-person shooter. Today, the developer -- best known for League of Legends, a popular MOBA that has spawned its own card game and auto chess spin-off -- has unveiled Killjoy, a fictional genius from Germany who loves building robots. She'll be added to the game as part of Act II -- Riot's term for in-game seasons -- on August 4th, bringing the agent lineup to 12. Killjoy's basic abilities include Alarmbot, a sneaky assassin type that waits for an enemy to move within range and then tracks them down, detonating upon impact to leave them in a'vulnerable' state. If you change your mind, it's also possible to recall a deployed Alarmbot by holding the Equip shortcut. If you want to control the map or pressure opponents to move into a particular choke point, there's also a Turret ability that will fire in a 180-degree arc.
Present-day robots are made for the purpose of repeating several tasks thousands of times. To make robots more widely applicable, future robots need to be able to do thousands of tasks just a few times. Programming a robot to solve just one complex motor task has remained a challenging, costly and time-consuming task - artificial intelligence is rarely employed. In fact, manual programming has become the key bottleneck in robot use. Empowering robots with an artificially intelligence approach to autonomously learn such tasks is at the center of the new ERC Proof of Concept project "AssemblySkills", which aims to validate that an autonomous, intelligent skill learning system can enable robots to acquire and improve a rich set of motor skills for specific applications.