KW 23: AI to improve monitoring of SAP system landscapes, Companies expect serious changes through AI, AI supercomputer to create a three-dimensional map of the universe


AI to improve monitoring of SAP system landscapes: The Itesys company is working with the Zurich University of Applied Sciences to develop its SAP monitoring tool Scansor. It is equipped with artificial intelligence for better monitoring of different states and for the early detection of errors.

Companies expect serious changes through AI: Eight out of ten German companies expect the use of artificial intelligence to have a noticeable impact on the economy and society by 2030. Every eleventh company expects this in the coming year. No company surveyed assumes that AI will bypass the economy and society without a trace. The Bitkom Association calls on politicians not to let German companies fall behind when it comes to AI, they must act now with a sense of proportion when it comes to laws and rules.

AI supercomputer to create a three-dimensional map of the universe: The newest big-name supercomputer might help solve some of astrophysics‘ most important questions. VentureBeat reports the National Energy Research Scientific Computing Center has officially dedicated Perlmutter, billed as one of the fastest supercomputers for AI, and it will start by helping to build the largest-ever 3D map of the visible universe to study the dark energy accelerating the cosmos‘ expansion.

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Project aims to bring AI to medium-sized companies: The new project „en [AI] ble“ examines how artificial intelligence can also be introduced in small companies and what the use of AI means for employees. The project is coordinated by the Institute for Applied Work Science (IFAA). A qualification concept for AI experts is to be developed specifically for managers and employees in small and medium-sized companies. The aim is to qualify them so that they can recognize meaningful AI applications for adding value to their own company and designing them in a productive and humane manner.

Researchers show how GPT-3 can be used for disinformation campaigns: When Open AI presented its software GPT-2 to the public in February 2019, the research laboratory did present convincing texts that were supposedly generated by the software after it had only received a brief input. However, Open AI did not want to publish the actual model – the architecture of the network and the 1.5 billion parameters that enable the software to add sentences, translate texts or write summaries. The software is potentially dangerous, wrote the developers because it could be used to produce fake news on a large scale. Only after months of hesitation and weighing up the risks did Open AI give the data finally free. GPT-3, the successor to GPT-2, is once again orders of magnitude more complex and powerful with 175 billion parameters. And it looks like GPT-3 will actually prove to be the original fears of the Open AI researchers. At least that can be seen from a current one examination recently published by Ben Buchanan, Andrew Lohn, Micah Musser and Katerina Sedova of the Center for Security and Emerging Technology (CSET) at Georgetown University in Washington.

German AI company Cognigy receives high investment: German AI company Cognigy wants to automate company conversations with voice and chatbots. It works to enable real-time interactions with people in natural language, for example in customer communication. The software currently supports 120 languages. A $44 million financing round is led by venture capital and private equity firm Insight Partners. Cognigy intends to use the capital to expand its business in North America, Europe and Asia and to strengthen its market position and existing industrial partnerships.

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IoT – Ticker -The physical world meets the digital one. Internet of Things as an interface that revolutionizes both the industry and everyday life. Get a weekly update from the world of „Internet of Things“.


An AI helps locate the last 350 North Atlantic right whales in the ocean and thus possibly save them from whalers.


Commitment to blockchain and AI: Swarm learning for blood cancer research: The German Center for Neurodegenerative Diseases and Hewlett Packard Enterprise have tested a process known as “swarm learning” in a joint project. It was developed by Hewlett-Packard Enterprise and can be used in various application scenarios in which one has to share knowledge and “intelligence” that needs to remain confidential. Distributed research teams can first train AI algorithms with local information in order to detect diseases such as blood cancer, tuberculosis or Covid-19, while the project participants have been able to prove that this method achieves significantly better results than if the AI algorithms were trained separately – without sharing the patient’s personal data.

This AI learns by setting itself new challenges: AI experts and a handful of other researchers are working towards a revolutionary new path with an AI called POET. Supersmart machines are created by making AI systems teach themselves through trial and error, without human influence or intervention. The researchers hope the technology can help discover other types of intelligence. Non-human intelligence that can find solutions in unexpected ways and perhaps complements rather than replacing our own intelligence.


Search for extraterrestrial life: AI could analyze samples more objectively: According to a research team led by Nicholas Guttenberg from the Tokyo Institute of Technology, AI can search material samples with great reliability in the search for extraterrestrial life. The measurement data were not searched for traces of the individual components, as was usual, but the overall sample was compared. The AI was able to correctly indicate with 95 percent whether there were traces of living organisms in the analyzed material. However, the research team could not explain why this worked. One hypothesis scientists came up with is that the algorithms “recognize” patterns in relation to the underlying processes, since life has to create copies of itself, but non-biological processes do not.


„AI applications support people.“
Bitkom President Achim Berg on the development of AI in the economy and the relief it brings in various areas of the company.


Neural Actor: AI technology animates actors: Scientists from the Max Planck Institute for Computer Science and Facebook AI present a new AI process called “Neural Actor” to flexibly digitize and animate people in 3D. The new method can reconstruct people in three dimensions based on 2D images and animate them at will.

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