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Preligens
Франция
Добавлен 20 ноя 2018
Preligens (ex-Earthcube) develops pioneering technology to empower analysts to take smart actions for a safer world. Its artificial intelligence solutions are based on an automated analysis of geospatial intelligence (GEOINT) workflows.
Powering state-of-the-art Machine Learning and Computer Vision, Preligens aggregates information from multi-intelligence sources (Multi-INT), such as imagery (IMINT), electromagnetic (ELINT), or open source (OSINT), to provide its Defence and Intelligence customers with strategic knowledge regarding mission critical areas of interest ensuring a more insightful operating picture.
Interested in a career at Preligens? We're hiring! ➡️ preligens.com/jobs
Follow us on LinkedIn ➡️ www.linkedin.com/company/preligens
Follow us on Twitter ➡️ Preligens
Visit our Medium page ➡️ medium.com/preligens
Powering state-of-the-art Machine Learning and Computer Vision, Preligens aggregates information from multi-intelligence sources (Multi-INT), such as imagery (IMINT), electromagnetic (ELINT), or open source (OSINT), to provide its Defence and Intelligence customers with strategic knowledge regarding mission critical areas of interest ensuring a more insightful operating picture.
Interested in a career at Preligens? We're hiring! ➡️ preligens.com/jobs
Follow us on LinkedIn ➡️ www.linkedin.com/company/preligens
Follow us on Twitter ➡️ Preligens
Visit our Medium page ➡️ medium.com/preligens
AI IN 2030
What will AI look like in 2030? Some Preligens' employees imagine tomorrow's new AI applications for this short video. Discover their predictions and hopes in this video! And now, what's your point of view about future of AI?
Просмотров: 278
Видео
L'intelligence artificielle en 2030 selon les collaborateurs de Preligens
Просмотров 37510 месяцев назад
Que nous réserve l’IA à l’horizon 2030 ? Quelques collaborateurs de Preligens imaginent les nouvelles applications de l’IA de demain. Découvrez leurs prédictions et leur imagination dans cette vidéo ! Et à votre tour de répondre !
Tip&Cue #15 - 5 situations complexes traitées avec succès par l’IA de Preligens
Просмотров 51310 месяцев назад
La surveillance d’activité grâce au traitement des données géospatiales par l’intelligence artificielle est un pilier stratégique du renseignement moderne. Mais parfois, les images à analyser ne sont pas toujours optimales et leur traitement constitue un vrai challenge. Découvrons 5 situations complexes où les détecteurs d'IA développés par Preligens ont été particulièrement performants. Produc...
Tip&Cue #15 - 5 highly challenging detections performed by Preligens AI
Просмотров 1,9 тыс.10 месяцев назад
Activity based intelligence powered by artificial intelligence capabilities is a strategic component of modern intelligence. But sometimes the images to be analysed are not optimal, and analyzing them become a real challenge. Let's look at 5 complex situations in which the AI detectors developed by Preligens achieved outstanding performance. Production & automatic detections © 2023 PRELIGENS Im...
Tip&Cue #14 - Defensive positions in Tessit, Mali
Просмотров 885Год назад
A new Tip&Cue by Preligens Have you ever heard of Tessit, in the region called the Three borders, between Mali, Burkina Faso and Niger? It is an area with a complicated geopolitical context. That’s why it is essential to follow the evolution of this strategic area of interest and understand how it works. In this video, discover how IMINT AI detectors by Preligens reveal military defensive posit...
Tip&Cue #13 RUSSIE-UKRAINE : Les détections marquantes d'une année de conflit [FR]
Просмотров 1,5 тыс.Год назад
Le 24 février 2022, la Russie débutait son invasion à grande échelle de l'Ukraine. Une fois de plus, l'imagerie optique par satellite a été une source de données de renseignement essentielle pour comprendre la dynamique et l'évolution quotidienne du conflit. Cette vidéo de Tip&Cue rassemble quelques détections clés effectuées par nos détecteurs d'IA au cours des mois de conflit. Des premiers af...
Tip&Cue #13 - RUSSIA-UKRAINE: Key detections over a year of conflict
Просмотров 1,4 тыс.Год назад
On February 24th, 2022, Russia started its full-scale invasion in Ukraine. Optical satellite imagery has been a key intelligence data source in understanding the dynamics and day-to-day development of the conflict. Preligens, which develops AI applications for intelligence data and has specific expertise in exploiting satellite imagery, has witnessed salient situations within its AI tools - suc...
A bord du Charles de Gaulle, épisode 3
Просмотров 151Год назад
Cette fin d'année 2022, certains de nos collaborateurs ont eu la chance d'embarquer à bord du Charles de Gaulle dans le cadre de leurs missions chez Preligens. Embarquez à bord avec eux et découvrez ce qu'ils y ont appris et découvert ! Dans ce troisième épisode c'est Oksana, AI Technical Project Manager qui vous dévoile ce qu'elle a découvert à l'occasion de cet embarquement. Bonne écoute !
A bord du Charles de Gaulle, épisode 4
Просмотров 86Год назад
Cette fin d'année 2022, certains de nos collaborateurs ont eu la chance d'embarquer à bord du Charles de Gaulle dans le cadre de leurs missions chez Preligens. Embarquez à bord avec eux et découvrez ce qu'ils y ont appris et découvert ! Dans ce deuxième épisode, c'est Hélène Ternisien de Boiville, GIS developer qui nous partage ce qu'elle a particulièrement apprécié lors de son passage à bord d...
A bord du Charles de Gaulle, épisode 2
Просмотров 95Год назад
Cette fin d'année 2022, certains de nos collaborateurs ont eu la chance d'embarquer à bord du Charles de Gaulle dans le cadre de leurs missions chez Preligens. Embarquez à bord avec eux et découvrez ce qu'ils y ont appris et découvert ! Pour ce quatrième épisode, c'est Déborah, Senior Product Manager chez Preligens qui vous propose d'embarquer avec elle dans cette exceptionnelle aventure.
A bord du Charles de Gaulle, épisode 1
Просмотров 286Год назад
Cette fin d'année 2022, certains de nos collaborateurs ont eu la chance d'embarquer à bord du Charles de Gaulle dans le cadre de leurs missions chez Preligens. Embarquez à bord avec eux et découvrez ce qu'ils y ont appris et découvert ! Dans ce premier épisode, c'est Renaud Allioux, notre CTO et co-fondateur qui revient sur cette expérience extraordinaire !
Preligens KPIs 2022
Просмотров 323Год назад
What a year! 🤩 Thank you to all our partners, customers and Preligens employees. We are looking forward to 2023 !
Tip&Cue #12 - China PLAN Aircraft carrier
Просмотров 1,9 тыс.Год назад
Two days ago, the Russian Navy's Project 1143.5 aircraft carrier Admiral Kuznetsov left the dry dock it had occupied for years. While keeping an eye on the detection of this asset, let’s rediscover Preligens’ recent report on China’s aircraft carriers. ROBIN, the AI solution for strategic areas monitoring, has detected the 3 ships📍 1️⃣ CV-16, Liaoning. Based in Yuchi and operating for the North...
Tip&Cue #11 - Operational mapping for mission preparation with AI
Просмотров 1,4 тыс.Год назад
Tip&Cue #11 - Operational mapping for mission preparation with AI In this new episode of our Tip&Cue series, we introduce our product Xerus: the combination of two powerful road and building AI detectors to map an area from its VHR optical satellite image. Let's take a look at how artificial intelligence can support operational forces and mapping experts in the preparation of a mission. Credit:...
Meetup Tech.Rocks X Preligens : Comment scaler des équipes en IA? avec Renaud Allioux
Просмотров 258Год назад
Meetup Tech.Rocks X Preligens : Comment scaler des équipes en IA? avec Renaud Allioux
Tip&Cue Episode #10 - A Ghost Submarine in Libya
Просмотров 1,7 тыс.2 года назад
Tip&Cue Episode #10 - A Ghost Submarine in Libya
Tip&Cue Episode #9 - Monitoring a refugee camp, Ayn Issa, Syria
Просмотров 1 тыс.2 года назад
Tip&Cue Episode #9 - Monitoring a refugee camp, Ayn Issa, Syria
Rencontrez les développeurs de Preligens
Просмотров 4122 года назад
Rencontrez les développeurs de Preligens
Olivier - Key Account Manager at Preligens
Просмотров 5762 года назад
Olivier - Key Account Manager at Preligens
Aurélia - Data scientist at Preligens
Просмотров 1,4 тыс.2 года назад
Aurélia - Data scientist at Preligens
Tip&Cue Episode #8 - Strategic naval bases in the South China Sea
Просмотров 2,2 тыс.2 года назад
Tip&Cue Episode #8 - Strategic naval bases in the South China Sea
Renaud Allioux: CTO and co-founder of Preligens
Просмотров 9192 года назад
Renaud Allioux: CTO and co-founder of Preligens
Philippe Hartz - from commando to figaro skipper
Просмотров 4672 года назад
Philippe Hartz - from commando to figaro skipper
Aurélien - Product Marketing Associate at Preligens
Просмотров 1,3 тыс.2 года назад
Aurélien - Product Marketing Associate at Preligens
Zapad 2021 : Analyse de l'exercice militaire russe par Preligens
Просмотров 1,7 тыс.2 года назад
Zapad 2021 : Analyse de l'exercice militaire russe par Preligens
Zapad 2021: Monitoring of the military exercise by Preligens
Просмотров 5 тыс.2 года назад
Zapad 2021: Monitoring of the military exercise by Preligens
😂
The presenter is fake. She is a robot because no one with human feelings and a soul can move their arms and hands like that. Someone who controls the robot thought it was a good idea to give the AI 10,000 hours of a conductor's time, so that it could learn to move its arms. Unreal. It's like watching a 90s robot dance, perfect movements, zero soul. She is so histrionic that it does not help in the explanation, it simply, ..., distracts. It's like a child's performance at school.
Loved this
Precise explanation. Thank you very much
Thank you for the video. Somehow I’m a bit disappointed, but it’s my fault. From the title, I expected to hear how deep learning is complementing convolutional networks, but deep learning is mentioned just superficially. Maybe a next video?
Deep learning seems like a perfect match for hyperspectral imaging.
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Which software can provide satelite digitization with AI?
Great!
Great Channel. Great Idea. Her accent sounds great for American Ears. Very attractive rhythm to listen too.
Nice Explanation, worth watching, very informative
النَّظِيرُ فِي عِلْمِ الْفَلَكِ : نُقْطَةٌ فِي السَّمَاءِ عَلَى خَطٍّ عَمُودِيٍّ مِنَ الْمُرَاقِبِ تَحْتَ قَدَمَيْهِ مُبَاشَرَةً
Besides it’s a good presentation, I was impressed that the westerns used the Arabic word Nadir which is exactly equivalent to the scientific word so much so they took it as is (they do not have the equivalent). How marvelous our Arabic language is.
What is this website
This reminds me of the way Johny Srouji presents a new Apple Silicon architecture in the Apple keynotes. Very precise, focused and polished.
Really good content, but please change the host/speaker
situations complexes
Great work
We love you Julie
Fun Fact: She's AI
? she's my sister
When deep learning, meets satellite imagery, what do you get ? Fires like Hawaii that can burn steel and take 90 degree corners like a street racer. Thank you I needed to see that to truly have the pieces snap into focus, no stupid puns or jokes at all. Serious as those fires.
very nice video and the articulation is very good.
Holy mf raw audio
Il aurait fallu nommer cette vidéo autrement
Wonderful 👏
I really don't understand the value of this video series. It's pretty obvious what the challenges are, but this doesn't teach how to do anything or give great examples. It doesn't showcase any software. It doesn't really do anything. What is the point of this video?
Le vocal est très bien réussi ainsi que la présentation. J'ai beaucoup aimé
Nice video ! Feel free to check if you have requests for internships, maybe people are waiting for answers... 😄
Et dans les faits aujourd'hui, on ne peut pas dire que ces grandes manœuvres ont permis à ses troupes d'être efficaces.
"l'objet est difficilement identifiable à l'œil humain". Vous en faites un peu trop pour vendre votre outil là 😄 Professionnellement, un œil entraîné
Peut être la rouille qui peut faussé l'observation ? ;)
Good job, guys
Thanks Julie and Earthcube Team!
Multiple images for same trajectory to superimpose will give accuracy
This is basic, non-specific drivel ! Any shcool-kid with an interest will have thought of this. And start with an AI system that makes her "English" understandable !!
The source from witch to attract satellite imagery is limited or limited to just, say one satellite? To have a off-Nadir is sometimes better than Nadir, for instance knowing height on a building. Also is there any consideration of privacy...
I keep looking at the hand movement and forgot to listen. It is weird.
Are u French?
From baking cupcakes, to this.... hmm.
i speak fluent English, but i bet it doesn't sound this smooth and beautiful!!!
When will video #4 be available?
Thanks for the video!
Does this have to do anything with geomatics?
hello
This was fascinating
Espectacular Video. Muchas gracias por compartir el conocimiento y la metodologia para la realizacion de deteccion. Muy interesante.
So concise and clear.
Hi Julie, I listened to your RUclips video with great interest and found it extremely professional and informative...really outstanding job! I was hoping you may be able to answer a couple of questions I have that are inspired by your presentation: Given: - NVIDIA's plans to build its "Eos" supercomputer, a machine expected to be the world’s fastest AI system after it begins operations later this year, and its advertised specifications: -- 18.4 exaflops of AI computing performance -- 275 petaflops of traditional scientific computing performance - the current state of the art deep learning algorithms as they apply to satellite images; be they Earthcube's, Preligens' or a widely accepted performance standard - the following Worldview-3's Specs: -- 0.31m Pan Sensor resolution (aka GSD, Ground Sample Distance; off-nadir is geometric mean) -- 680,000 sq km capacity per day 1. How many small tiles do you estimate would have to be created in order to be processed by the current neural networks? 2. How long do you estimate it take NVIDIA's Eos to process the number of tiles estimated in question one? 3. On average, how many distinct objects are classified by the current neural networks used in commercial or laboratory settings? 4. Looking ten years out, how many distinct objects do you think neural networks, coupled with forecasted improvements in conventional (non-quantum) supercomputering, will be able to simultaneously classify? I sincerely appreciate your time and please don't spend too much of it figuring out highly informed answers. I'm just looking for "ballpark" figures from a recognized expert in the field. If you have a Patreon or a PayPal account, I am more than willing to entertain compensation for the time you spend answering my questions. I wish you and yours the best, and I hope all are safe, happy, and healthy. :-) Thank you and kind regards, Rob Reference: nvidianews.nvidia.com/news/nvidia-announces-dgx-h100-systems-worlds-most-advanced-enterprise-ai-infrastructure
Less hand movements would be nice ... makes me think that she's either Italian or an AI with a human fault intentional inserted and overdone to make an NPC appear more human. ... but this is pure semantics. The content she presents is top-notch.
great presentation.. i was looking this
Degaussing dock?
What is a degaussing... Port?
Y aurait-il une place piur les cryptologues?