A Window On Tech

Social feed about Digital & Emerging Technology. #IoT #Cloud #AI #ML

[A Window On Tech @WindowOnTech]

Manufacturing and Data Superiority in 3 phases:

- Extracting insights from operational data for decisions.
- Using historical data to forecast trends.
- Implementing smart systems that self-adjust, optimizing operations based on continuous data feedback.

Rt @antgrasso

[Antonio Grasso @antgrasso]

A distributed ledger built to last cannot rely on security assumptions that may not last.

Quantum-safe preparation is necessary before the pressure arrives, because records and private keys must remain protected beyond today’s cryptography.

Microblog by @antgrasso #Blockchain

The practical issue is time.

Blockchain records can remain valuable for years, while the cryptographic methods that protect them may face new pressure as quantum computing advances.

This does not mean organizations should panic or replace everything immediately.

It means they need to understand which assets require long-term protection and where a migration path may be needed.

Cryptographic signatures and private keys deserve special attention.

If they protect ownership and access to assets, the question is not only whether they are safe today.

The question is whether they can remain trusted across a longer horizon.

Quantum-safe preparation is therefore a governance problem as much as a technical one.

Organizations may need safer algorithms and migration planning, but the first step is knowing where the exposure sits.

The goal is simple: preserve trust while security conditions change.

For blockchain, durability is not enough if protection does not evolve with the system.

[Mitsubishi Electric US - Industrial Automation @MEUSAutomation]

🎃 Some things are scary on Halloween, but managing too many systems can be scary year-round.

The MX-R Controller helps bring sequence, motion, and network control together in one platform to simplify architecture and improve connectivity.

Learn more: https://t.co/VgtKXix1LA

[Yves Mulkers @YvesMulkers]

No one signs off the fix. Reco and Cyera sell the monitoring, but neither signs off that the hole is closed.

The daily newsletter: https://t.co/cRtlww7zHI
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[Antonio Grasso @antgrasso]

AI consumes energy in 2 phases: training and inference. The first has a finite cost per training run; the second keeps accumulating with use.

One training run has a defined end. Inference follows demand, whether the model handles a few requests or millions.

Microblog @antgrasso

Training requires computation to develop the model. Once a training run is complete, the energy consumed during that run is a fixed total.

The trained model can then be used repeatedly without being trained again for every request.

But every request still requires computation.

The more frequently the model is used, the more inference energy accumulates. The amount also depends on how much processing each request requires.

A simple question and a complex analysis do not necessarily consume the same amount of energy.

For organizations deploying AI, estimating energy consumption means considering both the training process and the workload generated throughout the life of the service.

#AIEnergy #AIInfrastructure

[Antonio Vieira Santos @AkwyZ]

How one hacker used AI agents and a few thousand dollars to break into scores of sites - https://t.co/TtL1vBBcAb

[A Window On Tech @WindowOnTech]

Chatbots moved from scripted replies to systems that learn from context. Organizations now redesign workflows and roles, as recent advances compressed decades of slow progress into a rapid shift.

Source @EyeOnTech_TT rt @antgrasso.

[EMQ Technologies @EMQTech]

How can #MQTT connect #robotics with cloud-based #AI?

Explore how #EMQX and MuJoCo enable remote control of a simulated Microduck robot, laying the foundation for LLM-powered interactions.

Read the full blog: https://t.co/OyxDBzW6TZ

[Antonio Grasso @antgrasso]

https://t.co/tXqLX9MqlH

[Yves Mulkers @YvesMulkers]

Capital One says its AI rollout now touches more than 3,000 enterprise applications.

That's not a pilot number. That's an org that has already decided AI governance is infrastructure, not a committee.

What does governance at that scale even look like at your company?

[Yves Mulkers @YvesMulkers]

Same words, go and look. Two Railway notices, one for OpenAI, one for Anthropic, both said: go and look.

The daily newsletter: https://t.co/iGLKH5C5Jw
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[IoT Channel 66 @66Iot]

Which emerging #technologies could shape the next decade?

The latest @wef Top 10 Emerging Technologies report, produced with @Frontiers, highlights 10 scientific advances set to influence energy, health, materials, food systems, #AI an ..
rt @wef

[Yves Mulkers @YvesMulkers]

ModelOp counts agents in clouds. ModelOp Center 3.5 lists every AI agent inside Microsoft and Amazon, spend included.

The daily newsletter: https://t.co/tJ9GJDOBbj
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[RobotShop @RobotShop]

A 30 minute humanoid in a three hour lab means battery swaps or downtime.

Booster K1 Educational: 80 minutes at 0.4 m/s. Our guide argues runtime decides a teaching lab before compute does.

AI image
https://t.co/OGddUthgg0

[New Scientist @newscientist]

Most people seem to have cells that crossed the placenta from their mother into their developing brain in utero, even if they're now in their 80s https://t.co/NPA7hu9jG2

[Antonio Grasso @antgrasso]

The full ADIPEC Global Energy Report 2026, Power Shift, is available here:
https://t.co/a4K0Ay38Gu

[ABB Robotics @ABBRobotics]

See what happens when EyeMotion, ABB Robotics’ validated ecosystem vision system and PoWa come together.
The result? Physical AI in action, helping PoWa see, perceive and choose the right path in the physical world.
Seeing is believing!

[Antonio Grasso @antgrasso]

The new ADIPEC Global Energy Report 2026 caught my attention: 22% of oil and gas insiders name AI-driven efficiency as a top commercial opportunity today, versus 27% in ten years.

A signal of changing business priorities.

Join > https://t.co/w9vnyE9fl5

@ADIPECOfficial Partner.

Another finding adds context: 81% of energy insiders expect AI-driven electricity demand to exceed current forecasts.

This creates a closer relationship between the energy and technology industries.

Energy companies need to understand how computing demand will evolve, and technology companies must understand the capacity and operating requirements of energy systems.

I find this mutual dependency particularly interesting because investment decisions in one industry will increasingly affect the other.

ADIPEC 2026, taking place from 2-5 November in Abu Dhabi, offers an opportunity to examine how these developments will shape the energy business.

Energy. Intelligence. Impact.

#ADIPEC2026 #ADIPEC #Energy #AI

[Yves Mulkers @YvesMulkers]

An email can tell your AI assistant what to recommend. Then a person signs it.

A better approval screen will not fix that. The signer checks the agent's work against its own notes, so I would give every approver one source it cannot touch.

https://t.co/VfoIbh1GPC

[New Scientist @newscientist]

Co-Existence by Ethan Mollick is an excellent practical guide to effectively collaborating with AI without relinquishing our most valuable human cognitive capabilities, says Daniel Cossins https://t.co/qgLvnQVCbw

[IoT Guide @iotguide]

Laplace Intelligence red-teams robots and self-driving cars before they hit the real world
https://t.co/PMX7EjJ6lO #AutonomousTech #AutonomousVehicles