{"id":19736,"date":"2026-06-07T15:23:18","date_gmt":"2026-06-07T15:23:18","guid":{"rendered":"https:\/\/www.europesays.com\/netherlands\/19736\/"},"modified":"2026-06-07T15:23:18","modified_gmt":"2026-06-07T15:23:18","slug":"nxp-computex-keynote-2026-coverage","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/netherlands\/19736\/","title":{"rendered":"NXP Computex Keynote 2026 Coverage"},"content":{"rendered":"

\"NXP<\/a>NXP Computex 2026 Keynote Hero<\/p>\n

The fourth and final official keynote for Computex 2026 comes from NXP. Like all of the other major chip firms at the show, the Dutch chip designer has come to talk about AI. While the other major keynotes have focused at least in part on data center AI, NXP\u2019s expertise is entirely in edge devices. This is part of the reason why they are a major player in the industry, but they have little name recognition outside of it.<\/p>\n

Delivering NXP\u2019s keynote for Computex 2006 is CEO Rafael Sotomayor. NXP is a regular presenter for Computex keynotes, though this is Sotomayor\u2019s first keynote as the company\u2019s boss. Sotomayor, in turn, will be delivering a keynote titled \u201cBringing AI into the Real World: The Future of Physical Intelligence.\u201d It will focus on how NXP is bringing AI to edge devices, particularly physical AI\/robotics. And what NXP\u2019s design goals and design strategies are to accomplish this.<\/p>\n

As a quick note, this was a live blog-style post that was published a bit later.<\/p>\n

NXP Computex 2026 Keynote<\/p>\n

And Sotomayor wastes no time on this roughly 40-minute keynote, jumping right in to things once he\u2019s introduced and brought on stage.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Rafael Sotomayor<\/p>\n

His first subject? Soccer, referencing (but not name-dropping) the World Cup, which starts in just a week.<\/p>\n

What makes these players elite? It is not fitness or knowledge, because that describes all of the players.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Soccer<\/p>\n

\u201cIt\u2019s the mastering of the task. Executing at the highest level.\u201d<\/p>\n

Sotomayor sees plenty of examples of physical AI at Computex. And he ponders what \u201celite\u201d looks like for physical AI devices.<\/p>\n

Continuing the soccer analogy, Sotomayor is now talking about Lionel Messi, and his quick reaction and reflexes.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Messi<\/p>\n

\u201cExcellence is not about thinking harder. It\u2019s about mastering the task so deeply that thinking becomes unnecessary.\u201d<\/p>\n

And now, bringing this back to products, he throws up a more generalized example of human reflexes and motion. All the things the audience members are doing without thinking.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Reflexes<\/p>\n

Most of human movement (95%) is done with minimal thinking and energy expenditure.<\/p>\n

Sotomayor then contends that reflexes are hard, and that Moravec\u2019s Paradox holds that the things that are easy for humans are hard for robots, and vice versa.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Reflexes Are Hard<\/p>\n

\u201cReflexes are the hardest thing in robotics.\u201d<\/p>\n

Reflexes will be the key to unlocking the full potential of AI.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Fastest Evolution<\/p>\n

Sotomayor says that we are living through the fastest tech evolution ever. Something amazing is always happening; be it AI, vehicles, etc.<\/p>\n

A lot of that is happening in cloud AI. But now AI is moving to the real world \u2013 the edge.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote NXP Edge<\/p>\n

The edge is where NXP shines. Highly efficient, highly secure.<\/p>\n

As AI moves to the edge, now all these devices get intelligence.<\/p>\n

But they still need to solve Moravec\u2019s Paradox.<\/p>\n

The answer will come from humans, where it was already solved.<\/p>\n

Human intelligence does not entirely reside in the brain; parts of it also reside elsewhere.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Cerebrum<\/p>\n

The cerebrum is 80%. Reasoning, decision making, etc.<\/p>\n

But this is not where the fastest responses get resolved.<\/p>\n

Sotomayor is relating this via a story about also getting run over by a scooter in Taiwan.<\/p>\n

The 300ms response time of the cerebrum is too long for quick reactions.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Cerebellum<\/p>\n

\u201cThink of the cerebellum as the co-processor for motion.\u201d<\/p>\n

It is still not fast enough. That brings things to the spinal cord.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Spinal Cord<\/p>\n

A response time of under 40ms. \u201cIn this case, latency is more important than intelligence.\u201d<\/p>\n

The spinal cord acts independently. This lets it react before the brain can act.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Safety Critical Actions<\/p>\n

This is also an example of distributed processing.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Distributed Processing<\/p>\n

Closer means faster. Faster means safer. And the lowest possible energy use. A billion years of evolutionary optimization.<\/p>\n

Real-world intelligence requires across the body.<\/p>\n

This requires ultra-low latency, distributed control for no single point of failure, and energy efficiency.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Real World Intelligence<\/p>\n

And physical AI\/robotics will require the same things. NXP wants to apply the same principles.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Neural Axis Architecture<\/p>\n

NXP\u2019s neural axis architecture: reasoning, coordination, and reflexive layer.<\/p>\n

Now to showcase it in practice using three different form factors: drones, cars, and humanoid robotics.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Neural Axis Form Factors<\/p>\n

Starting with drones.<\/p>\n

The neural axis maps well here. Flight planning is one action, flight balance is another. And the motor controls are reflex layers.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Drones<\/p>\n

NXP tracks glass-to-glass latency. The full loop is 20ms; missing it can lead to crashes.<\/p>\n

This is NXP\u2019s implementation of the neural axis in a drone.<\/p>\n

Sotomayor also considers the automotive industry to be a great example of the axis.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Automotive<\/p>\n

Sotomayor believes NXP has leadership here with its 5nm-fabbed S32 processors. As well as their sonar products.<\/p>\n

The three separate layers are what make vehicles reliable.<\/p>\n

Finally, humanoid robots are the most complex implementation of all.<\/p>\n

Even in humanoid robotics, the 3 layers apply\/are needed.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Humanoid Robotics<\/p>\n

A robot has a collision? Everything needs resolved inside of 40ms.<\/p>\n

Processors in the limbs own their function locally.<\/p>\n

\u201cIntelligence is not about a bigger brain.\u201d \u201cThink about a neural axis.\u201d<\/p>\n

But motion and movement are not the same as understanding.<\/p>\n

Not understanding \u201cwhy\u201d is not okay.<\/p>\n

\u201cHow do we teach a robot not only how to move, but how to understand?\u201d<\/p>\n

Human children learn from experience (and a lot of mistakes).<\/p>\n

It creates a physical model in our heads. Falling teaches gravity, etc.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Robot Perception<\/p>\n

Robots see remarkably well. But does it understand the physics of the bottle and liquid?<\/p>\n

Needs to understand inertia and friction.<\/p>\n

So a bridge is needed between perception and understanding.<\/p>\n

How do you teach robots physics? Today, we do it ourselves. Robots learn from humans.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Human Training<\/p>\n

It is a slow and expensive process.<\/p>\n

This is where world models come in. Generate (or inject) knowledge through simulation, rather than physical testing.<\/p>\n

Vision Language Action (VLA) models are the bridge between seeing, perceiving, and understanding.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote VLAs<\/p>\n

Sotomayor considers it one of the most fascinating research areas in academia.<\/p>\n

VLAs continue to get better. Now, how do we get these complex models into constrained edge devices?<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote EIQ Toolkit<\/p>\n

NXP\u2019s answer to that is their eIQ toolkit, which can import, prune, and quantize them for the target use case.<\/p>\n

Meanwhile, a robot being useful is not the same as being trustworthy. Trust needs to be solved.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Physical AI Trust<\/p>\n

Trust normally takes time. Machines don\u2019t have the time to earn trust; they need to have it designed in from the start.<\/p>\n

Things will go wrong in the real world despite the best intentions and efforts.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Things Go Wrong<\/p>\n

Trust gets defined when things go sideways as the worst possible moment.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Triggers<\/p>\n

Edge devices must handle both security and safety triggers that challenge these systems.<\/p>\n

\u201cDealing with this is massively important.\u201d<\/p>\n

NXP comes from the edge, not the cloud.<\/p>\n

How does NXP handle trust? The company has a framework for it.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Contain<\/p>\n

Contain: isolate the problem. Don\u2019t allow a single point of failure.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Protect<\/p>\n

Protect: security right in the hardware. Protect execution and against tampering.<\/p>\n

NXP is post-quantum crypto ready.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Verify<\/p>\n

Verify: ASIL certification. NXP\u2019s SafeAssure program.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Adapt<\/p>\n

Adapt: Edge devices need to remain secure for years. Need to be field-updatable.<\/p>\n

\u201cWe take trust very, very seriously at NXP.\u201d<\/p>\n

No system can be designed where nothing goes wrong. But they can be designed so that they gracefully handle the failure.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Earning Usefulness<\/p>\n

NXP\u2019s job is not to push physical AI before customers are ready for it.<\/p>\n

\u201cEarning the right to be useful.\u201d<\/p>\n

Sotomayor wants to figure out where physical AI can be safely deployed today and where it creates value.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Factory Automation<\/p>\n

Factory automation being the quintessential example.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Healthcare<\/p>\n

Healthcare is also a big field. A 610% increase in lab and diagnostics robots. Safety is critical here.<\/p>\n

NXP\u2019s partner, GE Healthcare, is already doing this today.<\/p>\n

Sotomayor is now thanking all of NXP\u2019s Taiwanese partners. NXP punches above its weight because of them.<\/p>\n

\u201cThank you, because we do this together.\u201d<\/p>\n

Sotomayor is now wrapping things up by summarizing his keynote. And we are back to Messi.<\/p>\n

\"NXP<\/a>NXP Compute 2026 Keynote Physical AI Starts Where Non-Negotiables Begin<\/p>\n

The neural axis is key, whether it is Messi or robotics.<\/p>\n

\u201cElite for a machine is a machine that executes reliably and high-perf in the real world, and when things go wrong it keeps assets and people safe.\u201d<\/p>\n

Intelligence cannot be centrally scaled. It needs to be distributed at the point where it is needed.<\/p>\n

And that is the NXP keynote.<\/p>\n","protected":false},"excerpt":{"rendered":"NXP Computex 2026 Keynote Hero The fourth and final official keynote for Computex 2026 comes from NXP. Like…\n","protected":false},"author":2,"featured_media":19737,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62],"tags":[1456,15163,15164,166],"class_list":["post-19736","post","type-post","status-publish","format-standard","has-post-thumbnail","category-nxp","tag-ai","tag-computex-2026","tag-edge","tag-nxp"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/netherlands\/wp-json\/wp\/v2\/posts\/19736","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/netherlands\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/netherlands\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/netherlands\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/netherlands\/wp-json\/wp\/v2\/comments?post=19736"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/netherlands\/wp-json\/wp\/v2\/posts\/19736\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/netherlands\/wp-json\/wp\/v2\/media\/19737"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/netherlands\/wp-json\/wp\/v2\/media?parent=19736"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/netherlands\/wp-json\/wp\/v2\/categories?post=19736"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/netherlands\/wp-json\/wp\/v2\/tags?post=19736"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}