🇺🇳🇸🇦تشرفت بتعييني من قبل هيئة الأمم المتحدة @UN كسفيرة للسلام.. وأتطلع للعمل لخدمة الإنسانية ونشر روح الأمل والتعاون الدولي🌎🕊️
🇺🇳🇸🇦I’m honored to be appointed by the United Nations @UN as an Ambassador for Peace, and aspire to serve humanity as a messenger of hope and prosperity to the world🌎🕊️
#UnitedNations #Peace #PeaceForAll #UN
@_SPSA فخورة جدًا بوالدي أ.د. صالح بن عبدالرحمن المانع وبمسيرته العلمية والوطنية الممتدة لأكثر من أربعة عقود. إرث نفخر به وقدوة أعتز بها دائمًا. شكرًا للجمعية السعودية للعلوم السياسية على هذه اللفتة الوفية.
(11/11) تكريم الرواد.. وفاء للعلم وأهله
تمثل مسيرة الأستاذ الدكتور صالح بن عبدالرحمن المانع جانباً من تاريخ قسم العلوم السياسية بجامعة الملك سعود.
فخلال أكثر من أربعة عقود منذ التحاقه بالجامعة، جمع بين التدريس والبحث والإدارة الجامعية والمشاركة في المحافل العلمية داخل المملكة وخارجها.
وتبقى سِيَر الأساتذة الذين أسهموا في بناء التخصص جزءاً من ذاكرته العلمية، يستحق التوثيق والتعريف به للأجيال الجديدة.
الجمعية السعودية للعل��م السياسية
𝗧𝗵𝗲 𝗚𝗹𝗼𝗯𝗮𝗹 𝗥𝗮𝗰𝗲 𝘁𝗼 𝗕𝘂𝗶𝗹𝗱 #AI-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 #𝗛𝘂𝗺𝗮𝗻𝗼𝗶𝗱 #𝗥𝗼𝗯𝗼𝘁�#𝗥𝗼𝗯𝗼𝘁𝘀 𝗛𝗮𝘀 ��𝗲𝗴𝘂𝗻🤖
بدأ السباق العالمي لبناء #الروبوتات البشرية المدعومة بـ #الذكاء_الاصطناعي
The next major #AI platform may not live inside a screen⤵️
It may 𝘄𝗮𝗹𝗸, 𝗹𝗲𝗮𝗿𝗻, 𝘄𝗼𝗿𝗸 & 𝗼𝗽𝗲𝗿𝗮𝘁𝗲 alongside us.
Save this 🔖
Here are 12 companies shaping the humanoid robotics race ⤵️
🇺🇸 1️⃣ 𝗙𝗶����𝘂𝗿𝗲
Building general-purpose humanoid robots for commercial environments.
🇺🇸 2️⃣ 𝗧𝗲𝘀𝗹𝗮
Developing Optimus around AI, manufacturing scale and real-world tasks.
🇩🇪 3️⃣ 𝗡𝗘𝗨𝗥𝗔 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀
Combining cognitive robotics with human-centered industrial applications.
🇨🇳 4️⃣ 𝗨𝗻𝗶𝘁𝗿𝗲𝗲
Advancing increasingly capable and accessible humanoid platforms.
🇨🇳 5️⃣ 𝗔𝗴𝗶𝗕𝗼𝘁
Developing humanoid robots for industrial and commercial deployment.
🇨🇳 6️⃣ 𝗨𝗕𝗧𝗘𝗖𝗛
Moving humanoid robots toward factory and enterprise environments.
🇺🇸 7️⃣ 𝗔𝗽𝗽𝘁𝗿��𝗻𝗶𝗸
Building Apollo for logistics, manufacturing and physically demanding work.
🇨🇳 8️⃣ 𝗚𝗮𝗹𝗯𝗼𝘁
Developing embodied AI for service and industrial applications.
🇺🇸 9️⃣ 𝗔𝗴𝗶𝗹𝗶𝘁𝘆 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀
Deploying Digit for logistics and repetitive workplace tasks.
🇳🇴 10- 𝟭𝗫
Focusing on humanoid robots designed to operate in everyday environments.
🇺🇸 11- 𝗦𝘂𝗻𝗱𝗮𝘆 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀
Building general-purpose robots for practical human environments.
🇺🇸 12- 𝗕𝗼𝘀𝘁𝗼𝗻 𝗗𝘆𝗻𝗮𝗺𝗶𝗰𝘀
Pushing the boundaries of mobility, balance and advanced robotics.
⚡ 𝗕𝘂𝘁 𝘁𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝗿 𝘀𝗵𝗶𝗳𝘁 𝗶𝘀 𝘁𝗵𝗶𝘀:
AI is moving from 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 to 𝗲𝗺𝗯𝗼𝗱𝗶𝗲𝗱 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲.
From systems that 𝗮𝗻𝘀𝘄𝗲𝗿
to machines that 𝘀𝗲𝗲, 𝗺𝗼𝘃𝗲, 𝗹𝗲𝗮𝗿𝗻 & 𝗮𝗰𝘁.
💡 𝗠𝘆 𝗧𝗮𝗸𝗲:
The humanoid robotics race will not be won by whoever creates the most human-looking machine.
It will be won by whoever solves 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲, 𝗱𝗲𝘅𝘁𝗲𝗿𝗶𝘁𝘆, 𝘀𝗮𝗳𝗲𝘁𝘆, 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 & 𝘀𝗰𝗮𝗹𝗲.
𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 AI ➡️ 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 AI ➡️ 𝗣𝗵𝘆𝘀𝗶𝗰𝗮𝗹 AI
The real question is no longer whether humanoid robots are coming.
𝗜𝘁 𝗶𝘀 𝘄𝗵𝗲𝗿𝗲 𝘁𝗵𝗲𝘆 𝘄𝗶𝗹𝗹 𝗲𝗻𝘁𝗲𝗿 𝗼𝘂𝗿 𝗹𝗶𝘃𝗲𝘀 𝗳𝗶𝗿𝘀𝘁🤖
Which company do you believe will lead the humanoid robotics race?
#HumanoidRobots #Robotics #PhysicalAI #FutureTech
@enilev @Jagersbergknut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @ThEiLe0 @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @thomas_dettling @FmFrancoise @nafisalam @Mhcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @NathaliaLeHen @jasuja @ralf_ladner @mary_gambara
🧠 How can Federated AI Learning reshape the future of #AI❓
كيف يمكن للتعلّم الاتحادي للذكاء الاصطناعي أن يعيد تشكيل مستقبل #الذكاء_الاصطناعي؟
The data does not always need to move for intelligence to improve.
➡️ In Federated AI Learning, the model moves closer to the data (not the other way around).
Most people still think better AI requires:
→ More centralized data
→ Bigger databases
→ More information moving to the cloud
But the architecture of AI is starting to change.
🎯 1️⃣ 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝘀𝗵𝗶𝗳𝘁
Federated AI Learning changes a fundamental assumption:
AI can learn across devices and systems without requiring all raw data to be centralized.
🔐 2️⃣ 𝗟𝗼𝗰𝗮𝗹 𝗱𝗮𝘁𝗮. 𝗦𝗵𝗮𝗿𝗲𝗱 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲.
Devices can:
→ Train locally
→ Share model updates
→ Contribute to a stronger global model
All while raw data remains where it is generated.
🌐 3️⃣ 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱
This matters far beyond smartphones.
Think:
✔ Wearables
✔ Healthcare
✔ Robotics
✔ Autonomous systems
✔ Smart infrastructure
✔ Edge AI
The closer AI moves to the physical world, the more important distributed learning becomes.
⚙️ 4️⃣ 𝗧𝗵𝗶𝘀 𝗶𝘀 𝗮𝗯𝗼𝘂𝘁 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝗽𝗿𝗶𝘃𝗮𝗰𝘆
Federated AI Learning can support:
→ Lower latency
→ Less bandwidth dependence
→ Faster local intelligence
→ Greater scalability
This is not simply a privacy feature.
It is a different architecture for how AI can learn at scale.
⚠️ 5️⃣ 𝗕𝘂𝘁 𝘁𝗿𝘂𝘀𝘁 𝗶𝘀 𝗻𝗼𝘁 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗰
Keeping raw data local is only part of the equation.
Trusted federated systems still require:
→ Secure aggregation
→ Encryption
→ Governance
→ Protection against model leakage
💡 𝗧𝗵𝗲 𝗯𝗼𝘁𝘁𝗼𝗺 𝗹𝗶𝗻𝗲
The future of AI may be distributed, not centralized.
The data stays local.
The intelligence becomes global.
My take: Federated AI Learning could become one of the foundations of trusted AI at scale.
What’s your take?
Is this where the next generation of AI is heading⁉️
#FederatedLearning #EdgeAI #ArtificialIntelligence #Privacy #Technology #Innovation
@enilev@Jagersbergknut@TysonLester@CurieuxExplorer@GlenGilmore@FrRonconii@chidambara09@jeancayeux@mvollmer1@Nicochan33@RLDI_Lamy@pchamard@mikeflache@Fabriziobustama @EchoofLight11 @Mack1510019@ipfconline1@PawlowskiMario@drsharwood@kalydeoo@baski_LA@AnthonyRochand@smaksked@Eli_Krumova@andresvilarino@gvalan@AI_4_Healthcare@bimedotcom@arlenenewbigg@NewsNeus@domingonarvaez1@bamitav@jornalistavitor@jblefevre60@thomas_dettling@FmFrancoise@nafisalam@Mhcommunicate@Corix_JC@c4trends@smoothsale@amalmerzouk@PVynckier@bbailey39@NathaliaLeHen@jasuja@ralf_ladner@mary_gambara
🚨⚡ What happens when #AI moves from the cloud to the Edge?
ماذا يحدث عندما ينتقل #الذكاء_الاصطناعي من السحابة إلى Edge AI ?
Most people understand Cloud AI, but far fewer understand Edge AI ⤵️
☁️⚡ 𝗖𝗹𝗼𝘂𝗱 𝗔𝗜 𝘃𝘀. 𝗘𝗱𝗴𝗲 ��𝗜
The answer is not simply Cloud or Edge.
The real shift is understanding where intelligence should happen and why.
Save this 🔖
Here’s what is actually changing ⤵️
Cloud AI sends data to remote data centers for processing.
Edge AI brings intelligence closer to where the data is actually created.
→ On the device
→ On the sensor
→ On the machine
→ Near the user
That difference may sound technical.
It isn’t. It changes how AI behaves in the real world.
🚀 1️⃣ 𝗦𝗽𝗲𝗲𝗱 𝗖𝗵𝗮𝗻𝗴𝗲𝘀 𝘁𝗵𝗲 𝗘𝗾𝘂𝗮𝘁𝗶𝗼𝗻
When AI processes data closer to the source:
✔ Lower latency
✔ Faster response
✔ Real-time action
For autonomous vehicles, healthcare, robotics and industrial systems, milliseconds can matter.
🔐 2️⃣ 𝗣𝗿𝗶𝘃𝗮𝗰𝘆 𝗠𝗼𝘃𝗲𝘀 𝗖𝗹𝗼𝘀𝗲𝗿 𝘁𝗼 𝘁𝗵𝗲 𝗨𝘀𝗲𝗿
Not every piece of data needs to leave the device.
✔ Less data movement
✔ Greater privacy
✔ More control
As AI becomes embedded everywhere, where data is processed becomes as important as how it is processed.
🤖 3️⃣ 𝗔𝗜 𝗠𝗼𝘃𝗲𝘀 𝗜𝗻𝘁𝗼 𝘁𝗵𝗲 𝗥𝗲𝗮𝗹 𝗪𝗼𝗿𝗹𝗱
Edge AI is becoming critical across:
→ Smart cameras
→ Autonomous vehicles
→ Healthcare
→ Wearables
→ Industrial automation
→ Smart cities & IoT
AI is no longer confined to a screen.
It becomes part of the environment around us.
🌐 4️⃣ 𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗜𝘀 𝗛𝘆𝗯𝗿𝗶𝗱
Cloud AI brings scale & massive compute.
Edge AI brings speed, proximity & autonomy.
The future is not Cloud or Edge.
It is both.
💡 𝗠𝘆 𝗧𝗮𝗸𝗲:
The next phase of AI will not be defined only by bigger models.
It will also be defined by where intelligence happens.
The cloud made AI scalable.
The Edge makes AI immediate.
And as intelligence moves closer to devices, machines and people, AI becomes increasingly embedded into the physical world.
The real question:
Are we moving toward a future where intelligence is no longer somewhere in the cloud, but everywhere around us⁉️
#ArtificialIntelligence #EdgeAI #EdgeComputing #AILeadership #IoT #Robotics #SmartCities
@enilev @Jagersbergknut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @EchoofLight11 @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @thomas_dettling @FmFrancoise @nafisalam @Mhcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @SiddharthKS @NathaliaLeHen @jasuja @ralf_ladner @mary_gambara
⚠️🤖🏠 Humanoid #robots are moving from factories into our homes ➡️ This 12kg robot is designed to interact, assist and feel more like part of the family.
The real shift❓Human–robot coexistence is getting closer than most people realize.
⚠️🤖🏠 #الروبوتات الشبيهة بالبشر بدأت تنتقل من المصانع إلى منازلنا ⬅️ هذا #الروبوت بوزن 12 كجم صُمم للتفاعل والمساعدة وليكون أقرب إلى فرد من العائلة
التحول الحقيقي؟ ⤵️
التعايش بين الإنسان والروبوت أصبح أقرب مما يتوقعه كثيرون
v/ @Ronald_vanLoon
#AI #Robotics #HumanoidRobots #Technology #الذكاء_الاصطناعي #الروبوتات #التقنية