evcc ermöglicht das Laden von Elektrofahrzeugen (EV) bedarfsgerecht zu steuern und den dazu benötigten Energiebezug zu optimieren. Es kann eine Photovoltaikanlage (PV) angebunden werden, um so viel selbsterzeugte Energie wie möglich ins EV zu laden, oder es können auch Anbieter mit dynamischen Strompreisen angebunden werden.
The Hiveeyes Project is developing a flexible beehive monitoring infrastructure platform and toolkit based on affordable hardware, wireless telemetry and modern software. Open source, open hardware and a friendly community.
Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed. - GitHub - divamgupta/diffusionbee-stable-diffusion-ui: Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome - GitHub - jerryji1993/DNABERT: DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Bayesian Methods for Hackers : An intro to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view.
With everything that’s happening about the Coronavirus, it might be very hard to make a decision of what to do today. Should you wait for more information? Do something today? What? Here’s what I’m…
Das Coronavirus breitet sich auf der Welt aus. Täglich steigt die Zahl der Infektionen – weltweit, in Europa und in den Bundesländern in Deutschland. Schauen Sie sich hier die Echtzeit-Karte an.
Engineer friends often ask me: Graph Deep Learning sounds great, but are there any big commercial success stories? Is it being deployed in practical applications? Besides the obvious ones–recommendation systems at Pinterest, Alibaba and Twitter–a slightly nuanced success story is the Transformer architecture, which has taken the NLP industry by storm. Through this post, I want to establish links between Graph Neural Networks (GNNs) and Transformers. I’ll talk about the intuitions behind model architectures in the NLP and GNN communities, make connections using equations and figures, and discuss how we could work together to drive progress.
FitnessSyncer joins your health and fitness clouds into one Dashboard and Stream. Supporting over 40 health and fitness providers, including Fitbit, Garmin Connect, Samsung Health, Microsoft HealthVault™, RunKeeper, and more!
Here's a list of the eighteen best, quirkiest, and most informative artificial intelligence bugs available on YouTube we've collected over the past 12 months. In the spirit of AiGameDev.com, you'll find a bunch of tips & tricks to help fix these problems when/if you see them in your own game. First, a disclaimer. While certainly fun, this is also a difficult feature for me to write; the draft has been waiting to be finished up and published for over 6 months. There are already many video collections of AI bugs on also-ran Game News sites, but the difference here is that I've personally met or worked online with most of the developers behind these games — and many of them read this blog (RSS). I'm hoping the controversial aspect of this article is overshadowed by the useful analysis and the importance of the topic. The fact is, if you look beyond the sensationalist headline, social media websites are dramatically changing the way games are received by gamers and the community at large. And AI in games is no exception here... In fact, there seems to be increasingly more pressure and scrutiny on the behavior of game characters. Luckily, this new area of social media means there's also lots to learn from!
Zwei neue Institute sollen Deutschland als Standort für künstliche Intelligenz stärken. In Dresden arbeiten dafür Fraunhofer Zentrum und TU eng zusammen.
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E. Fischer, D. Zoller, A. Dallmann, and A. Hotho. KI 2020: Advances in Artificial Intelligence, 12325, page 275-282. Cham, Springer International Publishing, (2020)
W. Liu, P. Zhou, Z. Wang, Z. Zhao, H. Deng, and Q. JU. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, page 6035--6044. Online, Association for Computational Linguistics, (July 2020)