https://exchange.adobe.com/apps/cc/c98f1ef9?pluginId=c98f1ef9&workflow=share
Not visible, but invisible watermarks that are resistant to various forms of distortion & tampering.You can type in your password on any photo that you think is stolen from you or is derived from yours to prove originality!
Today, most teams building ML models serve them through web APIs. That works well, but I’ve been wondering about a different path:Suppose I provide an app that records a user’s screen (with consent).The user narrates what they’re trying to accomplish in their workflow.AI analyses this + the narration and suggests what ML model(s) would be needed.Finally, it packages everything as a lightweight,...
Yes, I had moving-the-chair-in-physical-space class of capabilities in mind: robots guided by multimodal intelligence, cars 'surprising me' on a day I'm idle, etc. The challenge here may be in what can be achieved at the edge, the feedback control system for correction of successive prompts.
The current state of LLMs (ChatGPT, Gemini) give the impression of having 'solved digital experience' completely. They are self contained to the extent that the 2023 technique of building wrappers on top of them to customise experiences seems redundant.I intuitively sense scope for a meld of such intelligence with the physical world.Are there startups that are building anything cool in this...
Suggestions by this platform wouldn't interfere with treatment protocol straight away; it wouldn't ask the patient to stop medicines their doctor has prescribed, or itself prescribe scheduled drugs.
It will suggest complementary interventions. Case in point: anxiety, depression, brain degeneration & other related diseases - there's Rhonda Patrick's protocol of HIIT exercises to breach the blood-brain barrier & deliver positive effects; there's Dr Chris Palmer's method of looking at metabolism & mental health jointly & benefits of a keto diet to solve such issues.
Likewise, there can suggestions from Yoga-Pranayama where deep breathing can solve insomnia & hence other diseases downstream such as hypertension in many cases.
After being on such complementary protocols, the patient's suffering will be reduced, but also the body will heal enough to an extent that their local doctor could reduce/stop medication.
The tech is in the platform, combing through wisdom of all such complementary protocols for a start. If it gains traction, we could start involving experts have system route some queries specifically to them.
I have experience building the ML-LLM part. Anyone wants to join me and build the full stack part?
If all aren't possible, which are? Want to let my users derive searchable intelligence off this info - intent is commercial.
Given links to posts, is it legal & possible to scrape from social media such as YT, FB, Insta, TikTok & Snap?If yes, do they block beyond a certain number of hits? Is there a paid route to doing this at scale?Are there popular libraries/packages that let us do this, that are current with T&C of these platforms?
Liability - are doctors liable in Europe, except in extreme cases like anesthesia overdose or obvious negligence? Even if they were, I'm interested in cases where doctors are not being criminally negligent, but just ineffective due to not keeping themselves updated.
Do you have thoughts about where to collect the seed data, in the European system?
Are there healthcare platforms that let doctors rate other doctors anonymously?I find Google Reviews & Practo (in India) inadequate because they only let patients rate doctors - this gets subjective as the ratings tend to depend on how 'nice & friendly' the doctor was, or how irritable the receptionist was; rather than accuracy of the treatment protocol. With chronic conditions, the...
SKX is a rare, CAD-related file format. On Windows, Xactimate can open it.Are there other open-source tools on other OSes that can open it? Any programmatic way to manipulate it?
When I host commoditised APIs on platforms such as RapidAPI & Postman Hub, how do increase visibility for it? How do I appeal to decision makers at companies that might potentially make tens or hundreds of thousands of hits to my API ?In general how do people that run this business go about it?
Remote: Yes, Perfectly fine to work with European & East Asian time zones.
Experience: Built entire imaging pipelines - starting with optics' design & ISP algorithms to image processing, & eventually tuning camera sight to computer vision. Deployed classical ML & statistical techniques, so I weigh that option before picking a Deep Learning approach. Have architected entire imaging pipelines , hired, led & mentored teams of research engineers. Previously run small startups .
Languages & tools: Python, TensorFlow-Keras, scikit-learn, C, MATLAB, Imatest
LinkedIn: https://www.linkedin.com/in/narasimha-kaushik-n-01340815/
email: [email protected]
How much progress has happened here? It could be at the: medicine/pharma/radiation formulation level, genomics level, abstract level of doctors that ensure your best being as you get treated-prescribed by different specialties.Are companies leveraging data-AI to enable personalise/targeted healthcare outcomes for patients?Any companies in Bangalore, India? Any wannabe founders that want to...
I am looking to build clinical-decision-support-systems enabled by ML and want to partner with an insider to understand exact problems they face today, viability of a solution, etc.Is there a platform like YC's (didn't help) cofounder matching to find clinical doctors that would be enthusiastic about what tech can make possible?Any useful LinkedIn groups or other platforms?
We are re-designing academic curricula, at the intersection of art & Generative AI.
We're hiring research engineers in image processing; those experienced in deep work in other areas of ML are welcome as well.
Must have skills: Implementing latest papers, replicating SoTA results, eagerness to get intimate with mathematics, programming with considerations for performance, memory footprint, etc.
Nice-to-have skills: Experience authoring papers, filing patents.
Don't apply if: your only tryst with ML or CV is taking an online course or doing projects as part of such courses, you can only handle code but not the learn math & then turn that to code, unwilling to move to Bangalore in a couple of months.
We are currently part-time-full-interest, remote & equity-fed; and plan to work onsite and pay ourselves when we get traction in the coming weeks.
If you're up for it, email narasimha[at]friskframes[dot]com and ak[at]friskframes[dot]com
We are building the antidote to Generative AI, preventing its outputs from flooding platforms where authenticity of the processed media is foundational: finance, insurance, law-enforcement...
We're looking to welcome onboard an all-rounder software engineer who's excited more about the impact of the tech they build than specific frameworks or languages; someone who can go on to be CSA of FriskFrames in the future.
Prior experience building systems to enable & efficiently serve ML will be a bonus!
If interested, please mail narasimha[at]friskframes[dot]com
Fact-check photographs that seem fake or edited.This works on photos with people at the moment, will generalise very soon.
Is it necessary to incorporate if someone’s a solo founder and doesn’t have investors? Can the revenue coming into the ‘company’ be accepted into a separate account created by the founder in their own name? How will investors in a future round judge this?
http://paramarshe.pythonanywhere.com/
It used to be trivial for those of us who grew up with tech to spot manipulated and synthesised images & videos. This is getting increasingly harder for us and impossible for the elderly and tech-lay-public in general.parAmarshe is solving this problem in an automated way - when you see fantastical images or videos, drop their link to know if they’re real or fake or torn out of context.
Are there startups working to make medical imaging more accessible: by using inbuilt cameras, webcams or more sophisticated cameras hooked up to commodity computers? There are vision acuity testing sites, but any that are going beyond? I have acquired imaging and computer vision experience by working on various domains and am looking to apply the same to this area now. Any startups doing...
Technologies: Camera ISP, Computational Imaging, Image Processing, Computer Vision (feature based and deep learning), Vision based systems and optics
Resume/CV: https://drive.google.com/file/d/1OgMMbRvK1CijPO9WDFVvwTKL9Na...
Email: [email protected]
My Linkedin: https://www.linkedin.com/in/narasimha-kaushik-n-01340815
Remote: Yes
Willing to relocate: No
Technologies: Imaging (computational photography and image processing), Computer Vision - feature based, shallow and deep learning, Large scale computer vision deployment.
Resume/CV: https://drive.google.com/file/d/1pkb9C1hgeAtwsf331RJ2h1Xg2Hu...
Email: [email protected]
I have worked with images across their entire life cycle: from their in-camera pixel formation to deducing abstract analytics from them. I have also worked across industries: driverless vehicles, retail, industrial cameras, mobile photography, to safe workplace solutions.