Global #fish #invasions transform #ecosystems.
Until now a unified view was missing.
Our Global Fish Invasion Database (GFID) fills this gap.
1538 spp across 193 countries.
Led by Phillip Haubrock
esj-journals.onlinelibrary.wiley.com/doi/pdf/10.1...

#bioinvasions #InvasiveSpecies

#OpenAccess
GFID: A Global Fish Invasion Database

Phillip J. Haubrock et al, @skatsanevakis.bsky.socia
doi.org/10.1111/1440...

aquatic ecosystems/ biogeography/ biological invasion/ global database/ invasive species

ohhhhh my gfid ihgm y giod. oh my gid, oh my giod oh my GOD LOOK AT HIMMMMMMMMM

「GFID：グローバル魚類侵入種データベース」🐟🐠
#OpenAccess

I feel that. I prefer it over GFID but I can understand your perspective on it.

Definitely a GOATed mixtape. I STILL have it in my library from when I downloaded it back in 2012 lmao. But track for track, GFID is the more polished project imo.

There are like 3-4 tracks I straight up didn’t like when Rich Forever dropped, but GFID is literally a no skip album from track 1-17.

Interview with @allimcculloch.bsky.social @neophytosloizides.bsky.social
during the recent symposium in Tokyo outlining the #InclusivePeace project its aims and initial findings
-Link is below
www.youtube.com/watch?v=gFiD...

To what extent are appellate courts in the current situation required to accept the immigration judge's decision to rely on the GFID as unquestionable evidence of gang measurement?

7/n Performance gains across the board:
✅ DiT-XL/2: gFID drops from 19.5 → 14.5 at 400K iterations
✅ REPA: Training time 4M → 1M iterations (4× speedup)
✅ MaskGIT: Training time 300 → 130 epochs (2× speedup)

𝐂𝐄𝐧𝐠 𝐒𝐡𝐫𝐞𝐞𝐤𝐚𝐧𝐭 𝐏𝐚𝐭𝐢𝐥 𝐀𝐰𝐚𝐫𝐝𝐞𝐝 𝐓𝐨𝐩 𝟏𝟎𝟎 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐁𝐚𝐝𝐠𝐞 𝐟𝐨𝐫 𝐄𝐱𝐜𝐞𝐥𝐥𝐞𝐧𝐜𝐞 𝐢𝐧 𝐒𝐦𝐚𝐫𝐭 𝐂𝐢𝐭𝐢𝐞𝐬

#shreekantpatil #thinkers360 #thoughtleader #smartcities #award #Recognition #global #news #update #top #international #technology #collaboration #cooperation #mentorship #leadership

AffineTok, a new visual tokenizer, enhances diffusion models by enforcing"Semantic Affine Consistency" (SAC), improving image generation quality and achieving state-of-the-art gFID of 1.21, revolutionizing semantic organization's role in generative modeling. https://arxiv.org/abs/2608.23864

www.youtube.com/watch?v=GfId...

The magnificent O Winston Link- chronicler of Americana and the Norfolk and Western Railroad-the last great US class 1 railroad with steam power. Defining 20 Century images. Lovely documentary by Channel Four.

𝐒𝐡𝐫𝐞𝐞𝐤𝐚𝐧𝐭 𝐏𝐚𝐭𝐢𝐥 - 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐭𝐨𝐫𝐲: 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 𝐟𝐫𝐨𝐦 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫𝐬𝐡𝐢𝐩 𝐭𝐨 𝐒𝐨𝐜𝐢𝐚𝐥 𝐖𝐨𝐫𝐤
श्रीकांत पाटील यांचा प्रवास हा उद्योजकतेतून समाजसेवेपर्यंतचा प्रेरणादायी प्रवास आहे. त्यांनी कमी भांडवलातून उद्योग सुरू करून जागतिक स्तरावर “पॅरेंटनाशिक” या ब्रँडचे यशस्वी नेतृत्व केले. मात्र फक्त स्वतःसाठी न राहता, त्यांनी समाजासाठी योगदान देण्याचा निर्धार करून विविध सरकारी योजना असंख्य उद्योजक, स्टार्टअप्सना मार्गदर्शन केले.

𝐈𝐧𝐝𝐢𝐚𝐧 𝐖𝐞𝐥𝐝𝐢𝐧𝐠 𝐄𝐱𝐩𝐞𝐫𝐭 𝐒𝐡𝐫𝐞𝐞𝐤𝐚𝐧𝐭 𝐏𝐚𝐭𝐢𝐥 𝐉𝐨𝐢𝐧𝐬 𝐀𝐖𝐒 𝐖𝐞𝐥𝐝𝐢𝐧𝐠 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬 𝐂𝐨𝐦𝐦𝐢𝐭𝐭𝐞𝐞𝐬 𝐟𝐨𝐫 𝐒𝐡𝐚𝐩𝐢𝐧𝐠 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐖𝐞𝐥𝐝𝐢𝐧𝐠 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬

#ShreekantPatil #AWS #AmericanWeldingSociety #WeldingSociety #Future #Work #Standards #India #BISIndia #Recognization #Global #International #RoboticWelding #Expert #Founder

𝐊𝐁𝐂𝐍𝐌𝐔 𝐂𝐞𝐧𝐭𝐫𝐞 𝐟𝐨𝐫 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧, 𝐈𝐧𝐜𝐮𝐛𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐋𝐢𝐧𝐤𝐚𝐠𝐞𝐬 - 𝐊𝐂𝐈𝐈𝐋
𝐂𝐄𝐧𝐠. 𝐒𝐡𝐫𝐞𝐞𝐤𝐚𝐧𝐭 𝐏𝐚𝐭𝐢𝐥 𝐒𝐭𝐚𝐫𝐭𝐮𝐩 𝐌𝐞𝐧𝐭𝐨𝐫
#shreekantpatil #mentor #KBCNMU #Maharashtra #StartupIndia #India #Consultant #Successful #Entrepreneur #Advisor #SeedFund #MSMEHelp #Export #Trainer #GovtofIndia #Evaluator

𝗦𝗵𝗿𝗲𝗲𝗸𝗮𝗻𝘁 𝗣𝗮𝘁𝗶𝗹 𝗮𝘁 𝗜𝗻𝗱𝗶𝗮 @ 𝟮𝟬𝟰𝟳 – 𝗜𝗕𝗦𝗘𝗔 𝗖𝗲𝗹𝗲𝗯𝗿𝗮𝘁𝗶𝗼𝗻 - 𝗕𝗵𝗮𝗿𝗮𝘁 𝗞𝗲 𝗠𝗮𝗵𝗮𝗿𝗮𝘁𝗵𝗶 𝗦𝗮𝗺𝗺𝗮𝗻
#shreekantpatil #bharatkemaharathi #leadership #msmehelp #startuphelp #startupindia #bisindia #startupindiamentor #vicepresident #maharashtra #state #IBSEA #international #leadership #India

Up in 5 minutes!

#DetectiveConan

m.youtube.com/watch?v=GfiD...

Wait...Before you Paint! | This TRICK is INSANE!😮 www.youtube.com/watch?v=gFID...

Sphere Encoder: Image Generation with a Sphere Encoder
快速图片生成/编辑模型
- 高效图片生成，一步即可达到 16 gFID(衡量AI生成图片质量的单位)
项目： sphere-encoder.github.io
GitHub: github.com/facebookrese...

GFID

662M, AliTok achieves a gFID score of 1.35, surpassing the state-of-the-art diffusion method with 10x faster sampling speed. The code and weights are available at https://github.com/ali-vilab/alitok. [5/5 of https://arxiv.org/abs/2506.05289v1]

being generation-friendly. On ImageNet-256 benchmark, using a standard decoder-only autoregressive model as the generator with only 177M parameters, AliTok achieves a gFID score of 1.50 and an IS of 305.9. When the parameter count is increased to [4/5 of https://arxiv.org/abs/2506.05289v1]

achieves 2.96 gFID with 128 tokens, outperforming VAR (3.3 FID) and FlexVAR (3.05 FID), which both require 680 tokens in their AR models. Moreover, due to the significantly reduced token count and parallel inference mechanism, our method runs nearly [5/6 of https://arxiv.org/abs/2505.21473v1]

baseline (reducing gFID from 6.18 to 1.61) and is on par with the continuous counterparts with higher efficiency. [5/5 of https://arxiv.org/abs/2505.19656v1]