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Category: robotics/AI

First, AI can be taught to forget. This means that not only can AI identify who knows what about a topic, but it can also contextualize that information and recognize when information becomes outdated and redundant, meaning it can ‘forget’ unuseful data as needed. Second, using non-sensitive information drawn from existing tools, AI is able to see through silos. It can use all kinds of information to draw conclusions at scale, creating in one integrated platform a live map or ‘knowledge network’ of who knows what within an organization.

In short, using data, AI can build a network of knowledge and expertise in real time. When searching for answers, everyone can then access the most accurate, up-to-date information or the best expert, at that specific point in time, to help instantly.

Before the zettabytes of data grow to yottabytes, it’s time to embrace AI’s role in tackling data overload. With AI, we can start leveraging data in the way businesses and employees demand: to empower connection, problem-solving, collaboration, and finding the answers we need.

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The photonic future of cpu’s and gpu’s — lightelligence PACE.

The new Photonics Hardware company Lightelligence has just announced their Photonics AI Accelerator card PACE that’s eventually supposed to be put into consumers personal computers in conjunction with their regular CPU’s and GPU’s. The crazy speed and efficiency of those Photonic chips are supposed to make Artificial Intelligence model training much faster and keep the heat down.
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TIMESTAMPS:
00:00 A New Hardware Maker.
02:13 Why are Photonic Chips better?
04:23 How do Photonic Chips work?
06:45 The Future of Photonic Computing.
09:47 Last Words.
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#photonics #cpu #lightelligence

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The “Robotics in Healthcare” Challenge is about the interaction of robotic systems with humans in medical applications. For this purpose, we are looking for ideas around the topic of diagnosis, rehabilitation and treatment in the healthcare and nursing sector. We encourage participants to submit a concept that uses a robotic system to improve the ability to monitor health and prevent, detect, treat, and manage disease, as well as to test and demonstrate new models and tools for health and care delivery. We are looking for solutions that will enable new robotic use cases for the future of healthcare. You can win 20,000 Euros.

Call for Participation: Until 7 January 2022 you can apply with your innovative concepts to the Medical Robotics Challenge!

H-Tec Systems receives research funding to advance research project PEP.IN with PEM electrolysers expertise as part of the H2Giga hydrogen project.

Augsburg-based hydrogen technology company H-Tec Systems is now officially part of the H2Giga hydrogen project for research & development into the series production of PEM electrolysis stacks and electrolysers. The German Federal Ministry of Education and Research (BMBF) is supporting H2Giga with a total funding volume of up to 500 million euros. The aim is to identify and test novel processes for the competitive mass production of electrolysers in Germany to make green hydrogen affordable and competitive.

As an expert and visionary in green hydrogen technology, H-Tec Systems is receiving research funding for the H2Giga project “PEP.IN” to further advance series production. By spring 2025, H-Tec Systems will identify new production processes for PEM electrolysis stacks and electrolysers in the gigawatt range and develop corresponding test facilities to quickly set up and commence series production.

The H2Giga project PEP.IN stands for Industrialisation of PEM Electrolysis Production and aims to optimise processes and equipment to produce electrolysers and electrolysis stacks in mass production. Part of the research work within the project is the investigation of a production plant for electrolysis stacks and electrolysers. In addition, a central component of the project is the further development of the electrolysis stacks to make them as simple and cost-effective as possible to produce. For smooth, highly available and cost-effective production, it is necessary to align the corresponding supply chains to the needs of the production. In addition, the individual components of an electrolyser will be considered in order to implement automated production of electrolysers in the gigawatt range. By collecting smart stack and plant operating data, H-Tec Systems will also contribute to the further development of the plants.

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Do you collect facts or nurture knowledge?

From SpaceX & Tesla, to Neuralink, OpenAI and The Boring Company, Elon Musk has demonstrated the ability to optimise the learning process, and it all comes down to two simple rules.

So I put together a quick guide so you can learn to optimise for success as well.

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From the Terminator to Spiderman’s suit, self-repairing robots and devices abound in sci-fi movies. In reality, though, wear and tear reduce the effectiveness of electronic devices until they need to be replaced. What is the cracked screen of your mobile phone healing itself overnight, or the solar panels providing energy to satellites continually repairing the damage caused by micro-meteorites?

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HB1 is an automated wall-climbing robot that was designed to streamline home construction projects.

No matter the size, location, style, or chosen building material–when it comes to constructing houses, it can be a dangerous job. Even with bulky construction vehicles, building homes requires a lot of finesse and attention. As our technological worlds evolve, so do our tools and that includes those used for home construction. Home-building robotics company Hausbots developed an automated, climbing construction robot called HB1 to help get home projects done.

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The research study of Spanish clinical neuropsychologist Gabriel G. De la Torre, Does artificial intelligence dream of non-terrestrial techno-signatures?, suggests that one of the “potential applications of artificial intelligence is not only to assist in big data analysis but to help to discern possible artificiality or oddities in patterns of either radio signals, megastructures or techno-signatures in general.”

“Our form of life and intelligence,” observed Silvano P. Colombano at NASA’s Ames Research Center who was not involved in the study, “may just be a tiny first step in a continuing evolution that may well produce forms of intelligence that are far superior to ours and no longer based on carbon ” machinery.”

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Automating repetitive tasks with loops and functions.

Many R users get into R programming from a statistics background rather than a programming/software engineering background, having previously used software such as SPSS, Excel etc. As such they may not have an understanding of some of the programming techniques that can be leveraged to improve code. This can include making the code more modular which in turn makes it easier to find and resolve bugs, but also can be used to automate repetitive tasks, such as producing tables and plots etc.

This short post in c ludes some of the basic programming techniques that can be used to improve the quality and maintainability of R scripts. This will also save you a whole lot of time if you are carrying out repetitive tasks that are only marginally different. We assume that you have a basic understanding of writing simple scripts in R.

Let’s start with a simple example. Let’s say we have some data from several different groups. In this case 3 animals (tigers, swans and badgers) and we have collected some data on relating to this (a score and value of some kind).

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