#future of deep learning

[textsearchbradleycarlgeigerbrad]

TEXT SEARCH BRADLEY CARL GEIGER AND BRAD GEIGER AND EVERYTHING ASSOCIATED

BRAD GEIGER AND CENTRAL INTELLIGENCE AGENCY

BRADLEY CARL GEIGER AND CENTRAL INTELLIGENCE AGENCY

BRAD GEIGER AND WIKIPEDIA

BRADLEY CARL GEIGER AND WIKIPEDIA

[bacchuschucklefuck]

caps from comic Im doing

[channie-binnie]

I swear every time I see anything relating to ATEEZ my eyes would always go to this man

BYE OMG WHY IS HE SO BEAUTIFUL????

This is a different type of ethereal beauty because wtf

He is a fairy 🧚

[invinciblerodent]

anyway, I really, really love how, if you romance Davrin, there's that beautiful moment in the final goodbye when he refers back to (at least one of-) the lines that can be said in the main romance scene:

[Davrin: You said you wanted the road less-traveled. Seems like we've got it right here.

Davrin: All I care about is that I'm there with you.]

after a personal storyline that's in large part about him overcoming an aversion of uncertainty, and embracing the potential for change and choosing who one wants to be (like most of the others, but it's arguably even more pronounced in his, as it's reflected through the griffons' story), that's just a really beautiful sentiment.

after spending so long thinking of himself as a weapon, believing one's destiny to be set in stone, even believing himself -and by extension, the griffons- to be "meant" for one immutable thing by their very nature...

it feels very satisfying and touching to know that he's willing to head into an unknown future with nothing truly secure, except for the hand holding his.

[samanthasaintclarissajoanhartpr]

GREASERS IMPERSONATING EDITED BITCH REYNOLDS TO WRITE RAWLING TECHNOLOGY.

Editing out all knowledge of advanced technology to make contact seem wise or allowable.

[hana-bobo-finch]

tis here!! My stupid little beta pdbc comic!! UHHHHH

additional ramblings because I don’t know how to stop yapping:

I know the ending is extremely abrupt but honestly? I can’t even lie I think it’s funnier and somehow more in character that way. There is no way in hell he’d question what just happened he’d just lay on the floor and say “alas!” As if that is in any way is a proper response to what just happened. So no apologies for that, I genuinely think the ending is amazing and won’t hear anything else. Alas.

I WAS REALLY SCREWED OVER WITH THE TEN IMAGE MOBILE LIMIT SO THE PACING IS VERY IFFY!! That alongside the fact I wanted to get this out as quickly as possible to gauge opinions and such—therefore making this much less detailed than I’d like to have made it, yes that’s my own fault I know—means that I couldn’t properly show what the briar zome is like (HEARTBREAKING). It’s a lot more spacious and unending than what’s shown here. In this it only looks like you’re there for a few minutes but experiences there can last up to a week. There are also a lot more thorns and spiked vines, it’s just that, like I said, I wanted to get this posted quickly and coloring in all of those spikes probably took more time than some of the drawings themselves. Had I made this as accurate to canon as possible, it would be much more visually cluttered. The briar zome is VERY hard to traverse because almost everything is covered in thorns (hence the name). Also worth noting that although it’s seemingly wintry there, there’s no actual temperature in the briar zome which is why pumpkin daddy is not fucking freezing to death (you have to look DAPPER when you’re illegally eating crabs)

This technically isn’t canon. This is a mishmash of all of the stuff I have about the briar zome, but in canon it’s all much more spread out, e.g. the eyes weren’t discovered until a few trips in when they actually bothered trying to figure out if/where the briar zome ends, in which BAM they found a buncha eyes!! Speaking of the eyes, their official names are Sotes, and where they’re found is called the “Eyes Rink” (GET IT!!! EYES!!! ICE!!! GET I-💥💥💥)

you’re probably wondering what the Miika chimp incident is, which is a fair thing to be wondering, however I will not be elaborating because I think it’s funnier that way. sorry (I am not at all sorry)

AND THE TIIIIIIME yes indeed the time works differently there. As one could. Probably guess by the wack-ass watch positions. The briar zome does in fact have its own time system that’s displayed differently than most would be used to. Alas, I had to cut that part short because I realized I was quickly running out of pages and I really wanted space to draw some of those beautiful beautiful eyeballs. I has this whole lecture about different types of watch hand designs and their names but that was unfortunately cut for time (ironically)

anyway uh. hope this was somewhat enjoyable? *EXPLODES*

[algoworks]

AI doesn’t need to be complicated, just intentional. Everyday problems deserve intelligent solutions. Begin with simple use cases tailored to your goals, then build momentum.

We help your business scale AI with clarity and confidence.

[kafka030]

Hello, Magister Kafka. What's your favourite flower?

Magister Kafka: Ahh... This question is quite... Refreshing...

(he whispers and covers his mouth)

Magister Kafka: My favourite flower is... Lavender...

(he answers softly and gives a gentle smile to anon)

Magister Evangeline: MY FAV IS HIBISCUS-- THAT RED ONE! and Also-- RED SPIDER LILY!

(she chuckles and grins in satisfaction)

Magister Kafka: Miss Eva, aren't they... (he pauses and looks away) Nevermind...

Magister Evangeline: It's JUST flowers. What's more DEEPER about them?

(she raises an eyebrow and looks at him)

Magister Kafka: Nevermind... Miss Eva... They're, indeed... a strong colour in my eyes... So, yes... It suits you...

(he says softly and she grins at his remarks)

[viiridianfields]

𝐭𝐨  𝐡𝐢𝐬  𝐟𝐮𝐭𝐮𝐫𝐞  𝐛𝐨𝐲𝐟𝐫𝐢𝐞𝐧𝐝 :

.  ݁  sakura's an intensely  devoted,  100%,  all  in,  fiercely  loyal,  lifelong  committed  kind  of  guy.  loves  deeply.  doesn't  lead  people  on,  or  play  games.  no  interest  in  making  his  boyfriend  jealous.  sakura  knows  how  painful  insecurity  feels.  no  way  is  he  going  to  let  his  boyfriend  doubt  that  sakura  loves  and  wants  only  him. .  ݁  sakura  needs  a  lot  of  verbal  affirmation.  ( 'i  love  you.'  ─  'you  matter  to  me.'  ─  'i  want  to  be  with  you.' )  or  else  sakura  won't  know.  he's  likely  already  struggling  to  believe  why  Y/M  would  love  him. .  ݁  likes  matching  with  his  boyfriend  ( matching  keychains,  jewelry.  something  with  meaning. )  sharing  clothes.  sending  random  2AM  texts,  so  Y/M  has  something  sweet  to  wake  up  to.  making  playlists.  winning  claw  crane  arcade plushes  for Y/M. .  ݁  it  helps  if  Y/M  initiates  physical  affection  first  ( hugs,  holding  hands,  leaning  against  him,  etc. )  this  way  sakura  knows  Y/M  wants  that  kind  of  intimacy,  and  doesn't  see  sakura  as  damaged,  dirty,  fucked  up.  once  sakura  knows  for  sure  his  boyfriend  wants  physical  closeness,  sakura  will  be  affectionate  af .  ݁  very  attentive  partner.  wants  to  learn  everything  about  his  boyfriend.  like  knowing his favorite comfort  food  that  sakura  can  surprise  him  with.  or  places  Y/M  loves  ( ocean,  museum,  old  park  from  childhood,  anywhere ),  and  sakura  will  take  him  there on  a  date. .  ݁  sakura . . . isn't  the  best  at  communication.  he  probably  won't  express  when  he  feels  insecure,  when  he  misses  Y/M,  when  he's  struggling  with  his  mental  health,  anything  negative.  sakura  doesn't  want  to  burden  his  boyfriend  with  his  issues,  or  give  any  reason  for  a  breakup.  he  doesn't  ask  for  support  and  comfort,  because  he  doesn't  know  how. .  ݁  he'll  fight  for  Y/M.  not  just  physically  against  any  jackasses  who'd  try  hurting  his  boyfriend.  but  sakura  will  fight  against  his  own  fears,  insecurities,  shame,  trauma,  sense  of  unworthiness,  so  he  doesn't  run  away.  when  he  loves  you,  he  will  run  towards  you. .  ݁  loves  it  when  he  can  say:  "welcome  home."

[pestercide]

...

[xublimetech]

The Future of AI: What’s Next in Machine Learning and Deep Learning?

Artificial Intelligence (AI) has rapidly evolved over the past decade, transforming industries and redefining the way businesses operate. With machine learning and deep learning at the core of AI advancements, the future holds groundbreaking innovations that will further revolutionize technology. As machine learning and deep learning continue to advance, they will unlock new opportunities across various industries, from healthcare and finance to cybersecurity and automation. In this blog, we explore the upcoming trends and what lies ahead in the world of machine learning and deep learning.

1. Advancements in Explainable AI (XAI)

As AI models become more complex, understanding their decision-making process remains a challenge. Explainable AI (XAI) aims to make machine learning and deep learning models more transparent and interpretable. Businesses and regulators are pushing for AI systems that provide clear justifications for their outputs, ensuring ethical AI adoption across industries. The growing demand for fairness and accountability in AI-driven decisions is accelerating research into interpretable AI, helping users trust and effectively utilize AI-powered tools.

2. AI-Powered Automation in IT and Business Processes

AI-driven automation is set to revolutionize business operations by minimizing human intervention. Machine learning and deep learning algorithms can predict and automate tasks in various sectors, from IT infrastructure management to customer service and finance. This shift will increase efficiency, reduce costs, and improve decision-making. Businesses that adopt AI-powered automation will gain a competitive advantage by streamlining workflows and enhancing productivity through machine learning and deep learning capabilities.

3. Neural Network Enhancements and Next-Gen Deep Learning Models

Deep learning models are becoming more sophisticated, with innovations like transformer models (e.g., GPT-4, BERT) pushing the boundaries of natural language processing (NLP). The next wave of machine learning and deep learning will focus on improving efficiency, reducing computation costs, and enhancing real-time AI applications. Advancements in neural networks will also lead to better image and speech recognition systems, making AI more accessible and functional in everyday life.

4. AI in Edge Computing for Faster and Smarter Processing

With the rise of IoT and real-time processing needs, AI is shifting toward edge computing. This allows machine learning and deep learning models to process data locally, reducing latency and dependency on cloud services. Industries like healthcare, autonomous vehicles, and smart cities will greatly benefit from edge AI integration. The fusion of edge computing with machine learning and deep learning will enable faster decision-making and improved efficiency in critical applications like medical diagnostics and predictive maintenance.

5. Ethical AI and Bias Mitigation

AI systems are prone to biases due to data limitations and model training inefficiencies. The future of machine learning and deep learning will prioritize ethical AI frameworks to mitigate bias and ensure fairness. Companies and researchers are working towards AI models that are more inclusive and free from discriminatory outputs. Ethical AI development will involve strategies like diverse dataset curation, bias auditing, and transparent AI decision-making processes to build trust in AI-powered systems.

6. Quantum AI: The Next Frontier

Quantum computing is set to revolutionize AI by enabling faster and more powerful computations. Quantum AI will significantly accelerate machine learning and deep learning processes, optimizing complex problem-solving and large-scale simulations beyond the capabilities of classical computing. As quantum AI continues to evolve, it will open new doors for solving problems that were previously considered unsolvable due to computational constraints.

7. AI-Generated Content and Creative Applications

From AI-generated art and music to automated content creation, AI is making strides in the creative industry. Generative AI models like DALL-E and ChatGPT are paving the way for more sophisticated and human-like AI creativity. The future of machine learning and deep learning will push the boundaries of AI-driven content creation, enabling businesses to leverage AI for personalized marketing, video editing, and even storytelling.

8. AI in Cybersecurity: Real-Time Threat Detection

As cyber threats evolve, AI-powered cybersecurity solutions are becoming essential. Machine learning and deep learning models can analyze and predict security vulnerabilities, detecting threats in real time. The future of AI in cybersecurity lies in its ability to autonomously defend against sophisticated cyberattacks. AI-powered security systems will continuously learn from emerging threats, adapting and strengthening defense mechanisms to ensure data privacy and protection.

9. The Role of AI in Personalized Healthcare

One of the most impactful applications of machine learning and deep learning is in healthcare. AI-driven diagnostics, predictive analytics, and drug discovery are transforming patient care. AI models can analyze medical images, detect anomalies, and provide early disease detection, improving treatment outcomes. The integration of machine learning and deep learning in healthcare will enable personalized treatment plans and faster drug development, ultimately saving lives.

10. AI and the Future of Autonomous Systems

From self-driving cars to intelligent robotics, machine learning and deep learning are at the forefront of autonomous technology. The evolution of AI-powered autonomous systems will improve safety, efficiency, and decision-making capabilities. As AI continues to advance, we can expect self-learning robots, smarter logistics systems, and fully automated industrial processes that enhance productivity across various domains.

Conclusion

The future of AI, machine learning and deep learning is brimming with possibilities. From enhancing automation to enabling ethical and explainable AI, the next phase of AI development will drive unprecedented innovation. Businesses and tech leaders must stay ahead of these trends to leverage AI's full potential. With continued advancements in machine learning and deep learning, AI will become more intelligent, efficient, and accessible, shaping the digital world like never before.

Are you ready for the AI-driven future? Stay updated with the latest AI trends and explore how these advancements can shape your business!

[bagheerita]

When you get past the fact that it's part of the O'Brien suffering canon, "Tribunal" is kind of a hilarious episode.

I know this is Star Trek, so this is a feature and not a bug, and one that goes all the way back to TOS, but when you can make literally anyone look exactly like literally anyone else, how is literally anything kept secure in this universe? The Federation really operates on a lot of faith in the inherent honesty of the majority of people. How were they even surprised when they met changelings? Like, yeah we're not as quick about it but we've been able to change people's faces and species since tribbles existed and we've been doing it at least once a show since, we can give you some pointers. How are there not more checks for things like this?? Boone apparently somehow avoided getting any kind of medical exam during the entire time he served with Miles on the Rutledge. How are people still so sloppy about it too?? Like, Boone's transformation was so ahem thorough, his wife (and parents) didn't notice outside of a personality change... but the Cardassians didn't bother to get him dental implants or otherwise disguise that he was missing one significant tooth??

Also, is it just because the Archon in this case is completely corrupt, or does the Cardassian justice system make about as much sense as one designed by Alice in Wonderland's Queen of Hearts?

[lucidloving]

Olive Schreiner, “The Buddhist Priest’s Wife” (1892)

[vero-niche]

a fellow english major, really happy to see someone who's proud of their degree <3

you know that "no love, no matter how brief, is wasted" line? i think the same applies for knowledge too - no matter how useless it may seem, knowledge acquired is never in vain.

[bayofwolves]

i can't believe i've never talked in depth ab drineke before. all this babbling ab shaneke and never a fic or analysis or even an explanation for some of my favourite doomed sapphics of all time. Wow

[sunshinethena]

in all seriousness i am more normal about adventure time than steven universe