Gadget and device News 🗞️
前往频道在 Telegram
📈 Telegram 频道 Gadget and device News 🗞️ 的分析概览
频道 Gadget and device News 🗞️ (@gadget) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 10 355 名订阅者,在 技术与应用 类别中位列第 11 556,并在 美国 地区排名第 3 412 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 10 355 名订阅者。
根据 25 八月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -93,过去 24 小时变化为 -3,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 8.86%。内容发布后 24 小时内通常能获得 2.70% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 917 次浏览,首日通常累积 280 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 2。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“Gadget news
https://fragment.com/username/gadget”
凭借高频更新(最新数据采集于 26 八月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。
10 355
订阅者
-324 小时
-167 天
-9330 天
帖子存档
Удивительно насколько обыденно смотрятся кадры, которые еще лет 10 назад звучали как абсолютная фантастика.
#Unitree #олимпиада #роботы
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@tsingular
Repost from Science in telegram
🧠 Singapore Just Opened a Data Center Powered by Living Human Neurons
This sounds like science fiction, but it went live on July 16.
Australian startup Cortical Labs, together with the National University of Singapore and data-center operator DayOne, has launched a biological computing facility where part of the processing is performed not by GPUs — but by living human neurons grown in a lab.
Inside are 20 CL1 biological computers. Each contains at least 200,000 neurons grown on a silicon chip covered with electrodes. The neurons originate from human blood cells that are reprogrammed into stem cells and then differentiated into neurons.
And yes, the computers have to be fed.
Every three days, technicians supply the cells with sugar, micronutrients and pH buffers, while a life-support system regulates oxygen, nitrogen and CO₂.
The strange part is that these neurons can actually learn.
Cortical Labs’ earlier DishBrain experiment showed human and mouse neurons learning to play Pong, with measurable learning appearing within just minutes. Earlier this year, developer Sean Cole connected around 200,000 human neurons to DOOM — allowing them to navigate the game and shoot at enemies.
Biology is nowhere near silicon in raw speed. But it has another advantage: efficiency.
A CL1 consumes around 30 watts. An NVIDIA H100 SXM can draw up to 700 W, while an eight-H100 server may consume roughly 10 kW including supporting hardware.
Cortical Labs also argues that biological neural networks may learn from far smaller datasets — closer to how humans adapt from limited experience.
Access to one CL1 currently costs about $2,200 per month. Cortical Labs already operates 120 units in Melbourne with around 20 paying customers, and Singapore could eventually expand to 1,000 biological computers.
So no, neurons aren’t replacing GPUs tomorrow.
But we have officially reached the stage where a data center needs electricity, an internet connection… and food.
Cyberpunk is becoming an engineering discipline.
#Biocomputing #Neuroscience #AI #DataCenters #CorticalLabs
https://www.straitstimes.com/tech/forget-silicon-chip-servers-singapores-newest-data-centre-needs-to-be-fed
Xynova готовит к выпуску новые кисти для роботов.
Prima1 будут иметь 22 степени свободы, тактильные сенсоры и высокоточный контроль усилия.
#роботы #руки #Xynova #Prime
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@tsingular
Repost from Science in telegram
🤖 NEO Just Got New Hands
25 degrees of freedom.
Still far from matching the human hand, of course — but the progress is impressive.
The company calls them an “API to the physical world.”
https://www.1x.tech/discover/neos-hands
#Robotics #NEO #RobotHands #gadget #science
