KW 31: VW seeks AI data strategy for autonomous driving, AI robot „Cassie“ runs a 5K, Police are telling ShotSpotter to alter evidence from gunshot-detecting AI


VW seeks AI data strategy for autonomous driving: Volkswagen is currently working on a new data protection plan to get the required data for AI models for autonomous driving. The company wants to combine data collection with strict consumer rights. This will also take into account safety-relevant information that contributes to the detection of traffic jams or slippery roads, for example, or different cultures and their handling of data in Europe, China and the United States.

Buildots combines 360° helmet camera with AI for construction management: Israel-based start-up Buildots wants to fully digitize the progress of construction processes and thus provide managers with a data-based, transparent analysis as a basis for decision-making. The results, which are presented in an app, make it possible to deploy resources ideally, detect errors at an early stage, and thus act more efficiently. With a combination of a 360° camera, artificial intelligence and image processing technology, project managers have a high degree of control over the processes, see progress and any deviations from the plan in construction projects.

AI robot „Cassie“ runs a 5K: Cassie, a bipedal robot that’s all legs, has successfully run five kilometers on a single charge, all without having a tether. The machine serves as the basis for Agility Robotics‘ delivery robot Digit, though you may also remember it for „blindly“ navigating a set of stairs. Oregon State University engineers were able to train Cassie in a simulator to enable it to go up and down a flight of stairs without the use of cameras or LIDAR. Now, engineers from the same team were able to train Cassie to run using a deep reinforcement learning algorithm.,

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AI creates false documents that fake out hackers: Hackers constantly improve at penetrating cyberdefenses to steal valuable documents. So some researchers propose using an artificial-intelligence algorithm to hopelessly confuse them, once they break in, by hiding the real deal amid a mountain of convincing fakes. The algorithm, called Word Embedding–based Fake Online Repository Generation Engine (WE-FORGE), generates decoys of patents under development. But someday it could “create a lot of fake versions of every document that a company feels it needs to guard,” says its developer, Dartmouth College cybersecurity researcher V. S. Subrahmanian.

AI speeds up chemical 3-D structural analysis: Chemical structures can now be displayed in their actual complex 3-D structure of molecules. Viennese computational chemists can determine these structures relatively easily, quickly and precisely using a new method based on artificial intelligence. In research, it is important to know the position of respective atoms in the sometimes complex compounds as precisely as possible, since the chemical fine structure decisively influences the behavior of a material. Trained using numerous detailed quantum chemical research data, the AI needs no more than the common representation of a compound in graph form to deduce the most likely 3D structure. The technique is „extremely useful and time-saving,“ and the research team is now making it freely available to colleagues.

Police are telling ShotSpotter to alter evidence from gunshot-detecting AI: A new report from Motherboard suggests that, in multiple instances, police departments have exerted pressure on AI-driven gunfire detector firm ShotSpotter—pushing the company to alter evidence against specific suspects, often to bolster the legal cases against them. Motherboard’s review of court documents from trials in Chicago and New York State, including testimony from ShotSpotter’s favored expert witness, suggests that the company’s analysts frequently modify alerts at the request of police departments—some of which appear to be grasping for evidence that supports their narrative of events.,

Accelerated discovery approach: AI, cloud and quantum computing to speed up discoveries
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Around 86 percent of companies surveyed have identified a dedicated budget for AI and ML projects.


AI detects ethnicity in medical images: AI systems recognize patients‘ ethnic identities in medical images, and scientists can’t figure out why. The problem is that the systems perform differently depending on the ethnicity of the patients. This results in a whole range of misdiagnoses for a particular ethnicity without humans being able to tell from the same data. Researchers found no method to stop this that didn’t also render the data or the AI system useless for diagnosis.

Tracking future forest fires with AI: Researchers at the Technical University of Munich are using artificial intelligence to predict how increased forest fires could affect the forest ecosystem. This involves training a deep neural network to mimic the behavior of a complex situation model as closely as possible in order to learn how the ecosystem reacts to various environmental influences. The goal is to use the AI approach to assess the long-term feedbacks of climate change and disturbances in Europe’s forests and to draw attention to climate change impacts and the urgency of climate action.


AI aims to improve colorectal cancer screening: 6 to 27 percent of polyps that lead to colorectal cancer are overlooked during a screening colonoscopy. With the help of AI, mucosal irregularities can be reliably detected and, if necessary, immediately removed or further treatments can be added. The AI analyzes the video material and marks potential changes in the mucosa in real time with approximately 14 million data records.


„Automated detection of sexist remarks can help improve social media discourse, raise awareness of problems, and take action against discriminatory content.“
Matthias Zeppelzauer, head of the research group Media Computing at the Institute for Creative\Media/Technologies at the University of Applied Sciences St. Pölten, talked about the project „Exist“ with which the research group wants to identify and fight sexism online.


Crypto toilet: South Korean toilet turns feces into electricity: A South Korean university buys its students‘ and employees‘ excrement. A specially built toilet is used to transport the feces to a tank containing microorganisms, which then convert it into methane. The associated energy is used to power a building. A separate digital currency is used to remunerate toilet use.

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