Blog von StephaneP | You thought OpenStreetMap data uses the WGS84 datum? No it doesn’t! | OpenStreetMap
Now that is a tombstone that suits the person. Beautiful, as she was. Both in appearance and genius. For those of you that don’t know her: She invented frequency hopping – without which lots of the things we do today with mobile networks and roaming wouldn’t be possible. And she performed the first femal orgasm on film. Not in porn, in a decent movie. Thanks, Bösi, for this beautiful memory.
“By mating with multiple males, lionesses safeguard their investments and outdo the males in the war of fitness.”
“Battle of the sexes: a multi-male mating strategy helps lionesses win the gender war of fitness”
“Given a land-tenure system where lionesses encounter many males capable of killing unfamiliar cubs, multi-male mating buffers cub infanticide and likely diversifies paternal lineages in litters. Consequently, infanticide was observed only when “new” males invaded a female group’s territory. An age-based mate choice was observed in lionesses: maiden breeders chose males having highest range overlaps, whereas experienced females selected peripheral males. The intergender spacing patterns and resultant sexual strategies of lions differ in Asia and Africa probably because of contrasting resource availability, highlighting behavioral plasticity within species inhabiting diverse eco-regions.”
“She calls it an “oscillation” that would lead her to “mirror matter,” but the idea is fundamentally the same. In a series of experiments she plans to run at Oak Ridge this summer, Broussard will send a beam of subatomic particles down a 50-foot tunnel, past a powerful magnet and into an impenetrable wall. If the setup is just right — and if the universe cooperates — some of those particles will transform into mirror-image versions of themselves, allowing them to tunnel right through the wall. And if that happens, Broussard will have uncovered the first evidence of a mirror world right alongside our own.“
Facebook’s Libra is the last thing the world needs – big tech’s use of our data threatens to intrude even on financial transactions
So true, and I am happy that I was allowed to partially witness that in Brussels. Its the right way to go, and others will follow
“The project will reference the world-leadingGlobal Data Protection Regulation developed by the European Union. Under the regulation, the idea that you control your data footprint has been accepted and embedded with privacy protocols placing enforceable rules on how corporations harvest and then monetise personal information. Protections include the right to be unknown and the right to be able to delete your personal records from a business that is holding them. It also includes rights for portability of data allowing, for instance, a user to take their data with them when they change banks, obligations on a business to delete a customer’s records when the customer takes their business elsewhere, as well as stringent data-handling protocols. Adopting these principles in Australia would be a significant step towards taking responsibility for the way the digital economy affects our privacy.”
A weekend read….
Researchers find quantum gravity has no symmetry | Kavli IPMU-カブリ数物連携宇宙研究機構
“In the next five years, Pulier predicts five blockchain trends, each poised to disrupt major players and birth entirely new business models by 2024. Let’s dive in.:
- Non-fungible tokens (NFTs)
- Security tokens
- Tokenized assets
- Self-sovereign identity
- Free speech
And at the broader societal level, blockchains will catalyze a sweeping shift away from hierarchical structures towards democratized networks at larger scales than ever before experienced by humankind. A next-generation tool capable of maintaining trust in large populations, blockchain will define a brand new order.”
I love to read articles void of busswords. 🙂 And I am tense what will come true.
A close look at how AI & algorithms reinforce prejudices and biases of its human creators and societies, and how to fight discrimination.
Ai is now learning with images of kittens, and I really like the cats, birds and moving images examples in these slides:
The ImageNet Challenge Story … Outcomes Strong supervision:
• Features from networks trained on ImageNet can be used for other visual tasks, e.g. detection, segmentation, action recognition, fine grained visual classification
• To some extent, any visual task can be solved now by:
1. Construct a large-scale dataset labelled for that task
2. Specify a training loss and neural network architecture
3. Train the network and deploy