Unbelievable urban bowling green temperature stuns emergency services. Drones are measuring the temperatures of common surfaces in regional cities and the results have stunned emergency services, with Mount Gambier's lawn bowls turf recording a temperature of 86 degrees Celsius [186.8 Fahrenheit]. (Australia)
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Matsushima, Japan
During the 2011 Great East Japan (Tohoku) earthquake and tsunami, this area suffered relatively light damage thanks to the buffering effect against the massive waves of the 260-odd small islets (like this one) in Matsushima Bay. Fifteen kilometres down the coast at Higashi-Matsushima and Ishinomaki, and all up and down the north-east coast of Japan, it was a different, and tragic, story. Around 20,000 people died, many swept out to sea and their remains never recovered.
'Relatively light damage', for some context, meant a tsunami of more than 4 metres in height hit the town of Matsushima, inundating the shopping areas and causing the loss of 15 lives and massive economic damage.
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Nakatsu Banshoen 中津万象園
Marugame, Kagawa Prefecture, Shikoku, Japan
日本四国地方香川県丸亀市
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More than 100,000 people have tuned in to watch ‘kākāpō cam’, which captures a rare flightless bird sleeping, tidying her nest and fighting off intruders
On an island in New Zealand’s remote southern fjords, one of the world’s strangest and rarest parrots – the kākāpō – is caring for her tiny chick as fans from across the globe watch on.
Through the black and white lens of a hidden camera, a fluffy orb with a kazoo-like squeak jostles for food from its mother’s beak. The mother, Rakiura, is attentive – scooping her chick under her large green wings, fending off an intruding bird, and periodically tidying her nest.
Continue reading...For Iranian women in Australia, watching the courageous decision faced by the team has felt personal. But seeking refuge comes with grief and uncertainty
When we watched the players of the Iranian women’s football team stand silently during the national anthem at the Women’s Asian Cup in Australia, it felt personal.
For many viewers, it was simply noted as a political gesture. But for Iranians watching around the world, that silence carried a message that was instantly understood. It felt like a handshake across distance, a quiet message delivered without slogans, without confrontation, without violence. A quiet signal between women who know what it means to live under a system where even the smallest act of autonomy can carry enormous consequences: disappearance, imprisonment or execution.
Now, the players face another form of pressure. Some will remain in Australia on temporary humanitarian visas. But that choice is not without cost. For many, staying abroad could mean continuous pressure on their families by the regime; it could mean never returning home as long as this regime remains in power, cutting them off from everything familiar – not just the streets of their cities, but the rhythms of family life.
For those who return, the burdens are no less heavy. They may have elderly parents to care for, relatives who depend on them financially, or loved ones whose lives are directly threatened by the Iranian regime. Every choice is fraught, every path dangerous. The players were described as “wartime traitors” by a state-linked commentator, who called for them to be “dealt with more severely”.
An anonymous reader quotes a report from IEEE Spectrum: Worried that your latest ask to a cloud-based AI reveals a bit too much about you? Want to know your genetic risk of disease without revealing it to the services that compute the answer? There is a way to do computing on encrypted data without ever having it decrypted. It's called fully homomorphic encryption, or FHE. But there's a rather large catch. It can take thousands -- even tens of thousands -- of times longer to compute on today's CPUs and GPUs than simply working with the decrypted data. So universities, startups, and at least one processor giant have been working on specialized chips that could close that gap. Last month at the IEEE International Solid-State Circuits Conference (ISSCC) in San Francisco, Intel demonstrated its answer, Heracles, which sped up FHE computing tasks as much as 5,000-fold compared to a top-of the-line Intel server CPU.
Startups are racing to beat Intel and each other to commercialization. But Sanu Mathew, who leads security circuits research at Intel, believes the CPU giant has a big lead, because its chip can do more computing than any other FHE accelerator yet built. "Heracles is the first hardware that works at scale," he says. The scale is measurable both physically and in compute performance. While other FHE research chips have been in the range of 10 square millimeters or less, Heracles is about 20 times that size and is built using Intel's most advanced, 3-nanometer FinFET technology. And it's flanked inside a liquid-cooled package by two 24-gigabyte high-bandwidth memory chips—a configuration usually seen only in GPUs for training AI.
In terms of scaling compute performance, Heracles showed muscle in live demonstrations at ISSCC. At its heart the demo was a simple private query to a secure server. It simulated a request by a voter to make sure that her ballot had been registered correctly. The state, in this case, has an encrypted database of voters and their votes. To maintain her privacy, the voter would not want to have her ballot information decrypted at any point; so using FHE, she encrypts her ID and vote and sends it to the government database. There, without decrypting it, the system determines if it is a match and returns an encrypted answer, which she then decrypts on her side. On an Intel Xeon server CPU, the process took 15 milliseconds. Heracles did it in 14 microseconds. While that difference isn't something a single human would notice, verifying 100 million voter ballots adds up to more than 17 days of CPU work versus a mere 23 minutes on Heracles.
Startups are racing to beat Intel and each other to commercialization. But Sanu Mathew, who leads security circuits research at Intel, believes the CPU giant has a big lead, because its chip can do more computing than any other FHE accelerator yet built. "Heracles is the first hardware that works at scale," he says. The scale is measurable both physically and in compute performance. While other FHE research chips have been in the range of 10 square millimeters or less, Heracles is about 20 times that size and is built using Intel's most advanced, 3-nanometer FinFET technology. And it's flanked inside a liquid-cooled package by two 24-gigabyte high-bandwidth memory chips—a configuration usually seen only in GPUs for training AI.
In terms of scaling compute performance, Heracles showed muscle in live demonstrations at ISSCC. At its heart the demo was a simple private query to a secure server. It simulated a request by a voter to make sure that her ballot had been registered correctly. The state, in this case, has an encrypted database of voters and their votes. To maintain her privacy, the voter would not want to have her ballot information decrypted at any point; so using FHE, she encrypts her ID and vote and sends it to the government database. There, without decrypting it, the system determines if it is a match and returns an encrypted answer, which she then decrypts on her side. On an Intel Xeon server CPU, the process took 15 milliseconds. Heracles did it in 14 microseconds. While that difference isn't something a single human would notice, verifying 100 million voter ballots adds up to more than 17 days of CPU work versus a mere 23 minutes on Heracles.
Read more of this story at Slashdot.