Gadget and device News ποΈ
Gadget news https://fragment.com/username/gadget
ΠΠΎΠ»ΡΡΠ΅π ΠΠ½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΎΠ±Π·ΠΎΡ Telegram-ΠΊΠ°Π½Π°Π»Π° Gadget and device News ποΈ
ΠΠ°Π½Π°Π» Gadget and device News ποΈ (@gadget) ΡΠ·ΡΠΊΠΎΠ²ΠΎΠ³ΠΎ ΡΠ΅Π³ΠΌΠ΅Π½ΡΠ° ΠΠ½Π³Π»ΠΈΠΉΡΠΊΠΈΠΉ ΡΠ²Π»ΡΠ΅ΡΡΡ Π°ΠΊΡΠΈΠ²Π½ΡΠΌ ΡΡΠ°ΡΡΠ½ΠΈΠΊΠΎΠΌ. Π‘Π΅ΠΉΡΠ°Ρ ΡΠΎΠΎΠ±ΡΠ΅ΡΡΠ²ΠΎ ΠΎΠ±ΡΠ΅Π΄ΠΈΠ½ΡΠ΅Ρ 10 313 ΠΏΠΎΠ΄ΠΏΠΈΡΡΠΈΠΊΠΎΠ², Π·Π°Π½ΠΈΠΌΠ°Ρ 11 522 ΠΌΠ΅ΡΡΠΎ Π² ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΠΈ Π’Π΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈ ΠΏΡΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΈ 3 396 ΠΌΠ΅ΡΡΠΎ Π² ΡΠ΅Π³ΠΈΠΎΠ½Π΅ Π‘Π¨Π.
π ΠΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ Π°ΡΠ΄ΠΈΡΠΎΡΠΈΠΈ ΠΈ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ°
Π‘ ΠΌΠΎΠΌΠ΅Π½ΡΠ° ΡΠΎΠ·Π΄Π°Π½ΠΈΡ Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ ΠΏΡΠΎΠ΅ΠΊΡ Π΄Π΅ΠΌΠΎΠ½ΡΡΡΠΈΡΡΠ΅Ρ ΡΡΡΠ΅ΠΌΠΈΡΠ΅Π»ΡΠ½ΡΠΉ ΡΠΎΡΡ, ΡΠΎΠ±ΡΠ°Π² Π°ΡΠ΄ΠΈΡΠΎΡΠΈΡ ΠΈΠ· 10 313 ΠΏΠΎΠ΄ΠΏΠΈΡΡΠΈΠΊΠΎΠ².
Π‘ΠΎΠ³Π»Π°ΡΠ½ΠΎ ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠΌ Π΄Π°Π½Π½ΡΠΌ ΠΎΡ 03 ΡΠ΅Π½ΡΡΠ±ΡΡ, 2026, ΠΊΠ°Π½Π°Π» ΠΏΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ ΡΡΠ°Π±ΠΈΠ»ΡΠ½ΡΡ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ. ΠΠ° ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ 30 Π΄Π½Π΅ΠΉ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΡΠΈΡΠ»Π° ΡΡΠ°ΡΡΠ½ΠΈΠΊΠΎΠ² ΡΠΎΡΡΠ°Π²ΠΈΠ»ΠΎ -110, Π° Π·Π° ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ 24 ΡΠ°ΡΠ° β -8, ΠΏΡΠΈ ΡΡΠΎΠΌ ΠΎΠ±ΡΠΈΠΉ ΠΎΡ Π²Π°Ρ ΠΎΡΡΠ°ΡΡΡΡ Π²ΡΡΠΎΠΊΠΈΠΌ.
- Π‘ΡΠ°ΡΡΡ Π²Π΅ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ: ΠΠ΅ Π²Π΅ΡΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½
- Π£ΡΠΎΠ²Π΅Π½Ρ Π²ΠΎΠ²Π»Π΅ΡΡΠ½Π½ΠΎΡΡΠΈ (ER): Π‘ΡΠ΅Π΄Π½ΠΈΠΉ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ Π²ΠΎΠ²Π»Π΅ΡΡΠ½Π½ΠΎΡΡΠΈ Π°ΡΠ΄ΠΈΡΠΎΡΠΈΠΈ ΡΠΎΡΡΠ°Π²Π»ΡΠ΅Ρ 8.31%. Π ΠΏΠ΅ΡΠ²ΡΠ΅ 24 ΡΠ°ΡΠ° ΠΏΠΎΡΠ»Π΅ ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΈ ΠΊΠΎΠ½ΡΠ΅Π½Ρ ΠΎΠ±ΡΡΠ½ΠΎ Π½Π°Π±ΠΈΡΠ°Π΅Ρ 2.33% ΡΠ΅Π°ΠΊΡΠΈΠΉ ΠΎΡ ΠΎΠ±ΡΠ΅Π³ΠΎ ΡΠΈΡΠ»Π° ΠΏΠΎΠ΄ΠΏΠΈΡΡΠΈΠΊΠΎΠ².
- ΠΡ Π²Π°Ρ ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΉ: Π ΡΡΠ΅Π΄Π½Π΅ΠΌ ΠΊΠ°ΠΆΠ΄ΡΠΉ ΠΏΠΎΡΡ ΠΏΠΎΠ»ΡΡΠ°Π΅Ρ 857 ΠΏΡΠΎΡΠΌΠΎΡΡΠΎΠ². Π ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΠΏΠ΅ΡΠ²ΡΡ ΡΡΡΠΎΠΊ ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΡ Π½Π°Π±ΠΈΡΠ°Π΅Ρ 240 ΠΏΡΠΎΡΠΌΠΎΡΡΠΎΠ².
- Π Π΅Π°ΠΊΡΠΈΠΈ ΠΈ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ: ΠΡΠ΄ΠΈΡΠΎΡΠΈΡ Π°ΠΊΡΠΈΠ²Π½ΠΎ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΈΠ²Π°Π΅Ρ ΠΊΠΎΠ½ΡΠ΅Π½Ρ: ΡΡΠ΅Π΄Π½Π΅Π΅ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΡΠ΅Π°ΠΊΡΠΈΠΉ Π½Π° ΠΎΠ΄ΠΈΠ½ ΠΏΠΎΡΡ β 2.
π ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ ΠΈ ΠΊΠΎΠ½ΡΠ΅Π½ΡΠ½Π°Ρ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠ°
ΠΠ²ΡΠΎΡ ΠΎΠΏΠΈΡΡΠ²Π°Π΅Ρ ΡΠ΅ΡΡΡΡ ΠΊΠ°ΠΊ ΠΏΠ»ΠΎΡΠ°Π΄ΠΊΡ Π΄Π»Ρ Π²ΡΡΠ°ΠΆΠ΅Π½ΠΈΡ ΡΡΠ±ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΌΠ½Π΅Π½ΠΈΡ:
βGadget news
https://fragment.com/username/gadgetβ
ΠΠ»Π°Π³ΠΎΠ΄Π°ΡΡ Π²ΡΡΠΎΠΊΠΎΠΉ ΡΠ°ΡΡΠΎΡΠ΅ ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΈΠΉ (ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ 04 ΡΠ΅Π½ΡΡΠ±ΡΡ, 2026) ΠΊΠ°Π½Π°Π» ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΈΠ²Π°Π΅Ρ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΈ Π²ΡΡΠΎΠΊΠΈΠΉ ΡΡΠΎΠ²Π΅Π½Ρ ΠΎΡ Π²Π°ΡΠ° ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΉ. ΠΠ½Π°Π»ΠΈΡΠΈΠΊΠ° ΠΏΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ, ΡΡΠΎ Π°ΡΠ΄ΠΈΡΠΎΡΠΈΡ Π°ΠΊΡΠΈΠ²Π½ΠΎ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΡΠ΅Ρ Ρ ΠΊΠΎΠ½ΡΠ΅Π½ΡΠΎΠΌ, ΡΡΠΎ Π΄Π΅Π»Π°Π΅Ρ Π΅Π³ΠΎ Π²Π°ΠΆΠ½ΠΎΠΉ ΡΠΎΡΠΊΠΎΠΉ Π²Π»ΠΈΡΠ½ΠΈΡ Π² ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΠΈ Π’Π΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈ ΠΏΡΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΡ.
ΠΠ°Π³ΡΡΠ·ΠΊΠ° Π΄Π°Π½Π½ΡΡ ...
| ΠΠ°ΡΠ° | ΠΡΠΈΠ²Π»Π΅ΡΠ΅Π½ΠΈΠ΅ ΠΏΠΎΠ΄ΠΏΠΈΡΡΠΈΠΊΠΎΠ² | Π£ΠΏΠΎΠΌΠΈΠ½Π°Π½ΠΈΡ | ΠΠ°Π½Π°Π»Ρ | |
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| 02 ΡΠ΅Π½ΡΡΠ±ΡΡ | +2 | |||
| 01 ΡΠ΅Π½ΡΡΠ±ΡΡ | +3 |
| 2 | ΠΠ΅Ρ ΡΠ΅ΠΊΡΡΠ°... | 692 |
| 3 | ΠΠ΅Ρ ΡΠ΅ΠΊΡΡΠ°... | 584 |
| 4 | Sponsored π΅ Turn any video into a round video note β in seconds.
π¬ Send a video β get a perfect circular video message, trimmed to 1 minute, max quality.
Perfect for quick updates, reactions, and making your replies stand out in any chat.
β οΈ Just keep it under 20 MB (choose "Compress" when sending).
π @makeitround_bot β free to start, no install, works right in Telegram. | 557 |
| 5 | π‘ Scientists Made a Semiconductor That Can Be Reprogrammed With Light
Most computer chips are born with a fixed job. Once a semiconductor is fabricated, its electrical properties are largely locked in.
Researchers at Princeton have now created an ultrathin semiconductor β only a few molecules thick β that can repeatedly change how it conducts electricity in response to different wavelengths of light. The effect is reversible, meaning the material can be programmed, erased and programmed again.
The team achieved this by combining a two-dimensional semiconductor with light-sensitive molecules that physically change shape when illuminated. Those molecular changes alter the semiconductorβs electronic and optical behavior. And unlike a simple binary switch, the response can be adjusted gradually rather than just flipped between β0β and β1.β
The researchers have already produced uniform samples about one inch across and built arrays of programmable electronic switches. Their next goal is to connect them into functioning circuits.
The broader idea is striking: instead of manufacturing a chip for one fixed purpose, future electronics might be able to change their own physical behavior after they are built.
Software is already reprogrammable.
Now the hardware itself is starting to learn the trick.
#Semiconductors #Computing #MaterialsScience #Photonics #Technology #Science
https://www.science.org/doi/10.1126/sciadv.aee1510 | 573 |
| 6 | Π£Π΄ΠΈΠ²ΠΈΡΠ΅Π»ΡΠ½ΠΎ Π½Π°ΡΠΊΠΎΠ»ΡΠΊΠΎ ΠΎΠ±ΡΠ΄Π΅Π½Π½ΠΎ ΡΠΌΠΎΡΡΡΡΡΡ ΠΊΠ°Π΄ΡΡ, ΠΊΠΎΡΠΎΡΡΠ΅ Π΅ΡΠ΅ Π»Π΅Ρ 10 Π½Π°Π·Π°Π΄ Π·Π²ΡΡΠ°Π»ΠΈ ΠΊΠ°ΠΊ Π°Π±ΡΠΎΠ»ΡΡΠ½Π°Ρ ΡΠ°Π½ΡΠ°ΡΡΠΈΠΊΠ°.
#Unitree #ΠΎΠ»ΠΈΠΌΠΏΠΈΠ°Π΄Π° #ΡΠΎΠ±ΠΎΡΡ
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@tsingular | 583 |
| 7 | ΠΠ΅Ρ ΡΠ΅ΠΊΡΡΠ°... | 588 |
| 8 | ΠΠ΅Ρ ΡΠ΅ΠΊΡΡΠ°... | 776 |
| 9 | π§ 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 β 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 COβ.
The strange part is that these neurons can actually learn.
Cortical Labsβ 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 β 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 β 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 arenβt 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 | 832 |
| 10 | ΠΠ΅Ρ ΡΠ΅ΠΊΡΡΠ°... | 874 |
| 11 | Xynova Π³ΠΎΡΠΎΠ²ΠΈΡ ΠΊ Π²ΡΠΏΡΡΠΊΡ Π½ΠΎΠ²ΡΠ΅ ΠΊΠΈΡΡΠΈ Π΄Π»Ρ ΡΠΎΠ±ΠΎΡΠΎΠ².
Prima1 Π±ΡΠ΄ΡΡ ΠΈΠΌΠ΅ΡΡ 22 ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΡΠ²ΠΎΠ±ΠΎΠ΄Ρ, ΡΠ°ΠΊΡΠΈΠ»ΡΠ½ΡΠ΅ ΡΠ΅Π½ΡΠΎΡΡ ΠΈ Π²ΡΡΠΎΠΊΠΎΡΠΎΡΠ½ΡΠΉ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ ΡΡΠΈΠ»ΠΈΡ.
#ΡΠΎΠ±ΠΎΡΡ #ΡΡΠΊΠΈ #Xynova #Prime
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@tsingular | 1 216 |
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| 17 | π€ NEO Just Got New Hands
25 degrees of freedom.
Still far from matching the human hand, of course β but the progress is impressive.
The company calls them an βAPI to the physical world.β
https://www.1x.tech/discover/neos-hands
#Robotics #NEO #RobotHands #gadget #science | 1 038 |
| 18 | ΠΠ΅Ρ ΡΠ΅ΠΊΡΡΠ°... | 800 |
| 19 | ΠΠ΅Ρ ΡΠ΅ΠΊΡΡΠ°... | 1 078 |
| 20 | ΠΠ΅Ρ ΡΠ΅ΠΊΡΡΠ°... | 1 114 |
