Brandon Lucia, CEO and Co-founder of Efficient Computer, took the stage at Embedded World 2026 to share a new vision for embedded intelligence—one built for energy efficiency from the ground up. In the presentation, Brandon explores how embedded systems can deliver more capability without forcing tradeoffs between performance, programmability, and energy use. Watch the full talk to see how Efficient Computer is rethinking the foundation for embedded compute. Watch here: ow.ly/yfWr50YyM7V #EmbeddedWorld2026 #EmbeddedSystems #EmbeddedIntelligence #EnergyEfficiency #EfficientComputer

『リビングの散らかった物を片付ける人型ロボット』 歩行・物体操作・バランスを1つのAIで制御し、作業を連続的に実行 figure.ai/news/helix-02-livi… #bipedal #humanoidrobot #Helix02 #locomotion #dexterous #manipulation #EmbeddedIntelligence #PhysicalAI #household #homeuse #FigureAI

Beyond the surface integrated at the core. @myshell_ai #MyShell #EmbeddedIntelligence #CoreTechnology

Embedded intelligence is redefining IoT device design. Day 2 at #IoTTechExpo covers RTOS, edge ML, security, connectivity & low-power design with speakers from @PhilipMorrisUK, @Eurostar, @NXP & @johnsoncontrols. 🎟️ iottechexpo.com/global/ #EmbeddedIntelligence #IIoT

This bipedal humanoid robot is equipped with six cameras, inductive heels, charging hooks on the pelvis, and more. #bipedal #humanoid #robot #Figure03 #EmbeddedIntelligence #PhysicalAI #FigureAI #FigureRobot

AI搭載人型ロボットの開発と社会実装 youtu.be/b2P5vhewVAA #humanoid #robot #GeneralPurpose #EmbeddedIntelligence #PhysicalAI #service #household #homeuse #ZerithAI

『Figure社の最新版 汎用二足歩行人型ロボット』 自動車工場や物流センターなど産業現場からいよいよ一般家庭へと活用の場が拡大 figure.ai/news/introducing-f… #bipedal #humanoid #robot #GeneralPurpose #household #homeuse #manufacturing #EmbeddedIntelligence #PhysicalAI #Figure03 #FigureAI

【万亿级具身智能市场，如何迎来属于它的“ChatGPT 时刻”？】 全球具身智能市场正在加速成长。预测显示，市场规模将在 2025 年达到 44 亿美元，到 2030 年突破 230 亿美元，年均复合增长率高达 39%。 这是一个万亿级潜力的新兴赛道，但真正的转折点尚未到来。GAIB 通过算力融资与资产代币化，为这一市场注入资本和基础设施支持，加速推动具身智能从探索期走向大规模应用，迎来真正的爆发时刻。 在 2025 世界机器人大会上，宇树科技创始人王兴兴分享了一个非常值得关注的观点： “机器人行业的最大瓶颈不在硬件，而在具身智能。未来 2–5 年，智能机器人技术的重心是端到端的具身智能 AI 模型。” 这意味着，具身智能正快速从实验室走向现实场景，成为一个万亿级潜在市场。但问题是，这个市场如何才能迎来属于它的“ChatGPT 时刻”？ 瓶颈不在硬件，而在具身智能 想象一下，如果让一个机器人走进陌生的会议室，执行“把水递给这位观众”的指令，它能不能像人一样理解场景并完成任务？ 目前大多数机器人做不到。硬件足够灵活，但大脑还不够聪明。 这就涉及到端到端的具身智能模型。 “所谓端到端，就是从视觉输入、语义理解到动作执行，全流程交给一个统一的大模型来完成，而不是由多个割裂模块拼接。” 优势很明显： 1. 减少中间环节的损耗，让机器人真正学会“理解世界”； 2. 靠规模化数据和算力快速进化，像语言模型一样迎来质变； 3. 具备更强的泛化能力，能在陌生环境下自主迁移和适应。 这正是机器人行业“ChatGPT 时刻”可能出现的方式。 GAIB：机器人与具身智能的新势力 GAIB 近期宣布进入机器人与具身智能领域，我认为它的布局和未来趋势高度契合： 1. 算力优势 ·端到端模型对算力的需求是指数级的，而机器人本体的算力有限。 ·GAIB 已经在分布式 GPU 金融化上跑通模式，把全球分散的算力转化为流动的资产池。 这为机器人提供了最稳固的算力基础设施。 2. 数据优势 ·具身智能的进化依赖大量交互数据，但数据难以采集和确权。 ·GAIB 的机制能让数据在链上确权、定价、流转，把交互数据变成“可投资资产”。 每一条数据不再是沉没成本，而能为整个生态带来持续回报。 3. 硬件优势 ·单卖机器人难以解决产业融资问题。 ·GAIB 将机器人硬件及其未来现金流代币化，让资本直接参与机器人经济，降低门槛、增加流动性。 4. 金融优势 ·GAIB 的逻辑是把所有 AI 基础设施资产金融化：从 GPU 到数据中心，现在延伸到机器人。 ·它不是单点玩家，而是连接资本市场和机器人产业的开放金融基础设施。 换句话说，GAIB 已经把“算力—数据—硬件—金融”的闭环搭建完成，这将帮助具身智能的端到端模型更快实现突破，并无缝落地到实际机器人硬件上。 迎接具身智能的奇点 通过GAIB构建的 算力-数据-硬件-金融 生态，机器人领域的临界点将会加速出现：当它们能在陌生环境中理解自然语言指令并自主完成任务，就是机器人的“ChatGPT 时刻”。 未来 2–5 年将是一个极其关键的窗口期： 硬件会继续改进，但不是决定性因素； 模型、算力、数据和硬件的结合，才是核心； 谁能提前打通这条路径，谁就能在浪潮来临时站到最好的位置。 GAIB 的切入点，不仅是踩中了趋势，更具备落地优势：它有算力网络的金融化经验，有把数据变资产的机制，有连接资本和硬件的模式。 这让 GAIB 有机会成为具身智能爆发前夜，最早铺好底座的参与者之一。 @gaib_ai #Robotics #AI #embeddedintelligence

形状、大きさが異なる食器を壊さずに食洗器にセットするロボット figure.ai/news/helix-loads-t… #bipedal #humanoid #robot #Helix #VLA #EmbeddedIntelligence #PhysicalAI #household #homeuse #dishwasher #loading #FigureAI

#EmbeddedIntelligence: We built intelligence into our Visual Trade Designer. So, even if you are new to the markets, you can trade safely and successfully on Outcome Trading. #DontGetREKT #DoNotGetREKT !

#EmbeddedIntelligence: We built intelligence into our Visual Trade Designer. So, even if you are new to the markets, you can trade safely and successfully on Outcome Trading. #DontGetREKT #DoNotGetREKT !

Here is some good news! @IBM doubled the number of specialized resources for brands that support #IBM’s business partners and increased the technical resources supporting partners by 35%. Read my article: 👇🏽 #EmbeddedIntelligence #partnerecosystem bit.ly/3HBYiRX

It is important to understand. #EmbeddedIntelligence systems allow new breakthroughs for established companies and new market players who want to scale their digitization efforts. #partnerecosystem @IBM #Sponsored bit.ly/3HBYiRX

The core purpose of any business that invests in its #partnerecosystem is to supply the resources needed for each partner to enhance its client's businesses to construct smarter enterprises. #EmbeddedIntelligence @IBM #Sponsored bit.ly/3HBYiRX

The faster you can get your product to market, and it is clear, the more successful you'll be. However, building all those connections can be incredibly time-consuming and expensive. bit.ly/3HBYiRX #partnerecosystem @IBM #embeddedintelligence #Sponsored

Without the necessary skills, businesses are at a disadvantage. They cannot keep up with the current competition if they do not leverage the tools and techniques to shape tomorrow's expertise. bit.ly/3HBYiRX #partnerecosystem @BM #EmbeddedIntelligence #Sponsored

Meet the Expert Sean Schuhriemen, our intelligence practice and GSOC management VP, delivers strategic, comprehensive 360 global risk intelligence. ow.ly/UTVg50P86Vu #RiskIntelligence #ProtectiveIntelligence #EmbeddedIntelligence #GSOCExpertise

Ready to take your product to market quickly and efficiently? @IBM's #PartnerPlus initiative can help you connect with the right partners and tap into our vast #partnerecosystem and investment in #embeddedintelligence. Learn more through this article: bit.ly/3HBYiRX.

The core purpose of any business that invests in its #partnerecosystem is to supply the resources needed for each partner to enhance its client's businesses to construct smarter enterprises. #EmbeddedIntelligence @IBM #Sponsored bit.ly/3HBYiRX

Here is some good news! @IBM doubled the number of specialized resources for brands that support #IBM’s business partners and increased the technical resources supporting partners by 35%. Read my article: 👇🏽 #EmbeddedIntelligence #partnerecosystem bit.ly/3HBYiRX