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

[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

[Mitsubishi Electric US - Industrial Automation @MEUSAutomation]

How much engineering time is lost managing disconnected systems?

Industry experts discuss how unified control can help simplify operations and support productivity gains.
https://t.co/M1dyJAEB7M

#IndustrialAutomation #Manufacturing #SmartManufacturing #IndustryInsight

[Mitsubishi Electric US - Industrial Automation @MEUSAutomation]

How do you get students interested in automation?
Start with a PLC-controlled block-stacking game. 🎮

That's exactly what students discovered at the MTI Expo while exploring automation and manufacturing careers.

Have an upcoming event? Let's connect!
https://t.co/ziuSoX4ZIL

[RobotShop @RobotShop]

Legged locomotion is easier to teach once students have tuned a gait.

Assembly takes about 60 minutes: the build and the first walk fit in one lab session. @PetoiCamp

The Bittle X V2 kit, arm included, for a lesson in grasping:
https://t.co/nSitNDYOsA

AI image

[Yves Mulkers @YvesMulkers]

write churn down yourself. AtScale CoModel will write definitions soon, but it isn't out yet: write churn down yourself.

Full episode: https://t.co/qyjIa25x1A
The daily newsletter: https://t.co/UxWASL8jXa
powered by https://t.co/HsERepHleV

[Antonio Grasso @antgrasso]

AI creates business value when strategy, workflows, and execution work together. Leaders need to connect these layers, redesign how work gets done, and build the skills that turn AI capabilities into measurable outcomes.

Source @McKinsey Link https://t.co/Cf8fXdK49O v @antgrasso

[Yves Mulkers @YvesMulkers]

Insurance just gave old tech debt a new name: agentic debt. Agents piling up with no consistent rule for who decides, who checks, who's accountable. Same trade I've watched for twenty years, new label. Seeing agentic debt pile up in your stack yet?

[A Window On Tech @WindowOnTech]

A supply chain can follow its plan perfectly and still be failing because reality has already changed.

Adaptive intelligence helps operations read weak signals and adjust before disruption spreads.

rt @antgrasso.

[Yves Mulkers @YvesMulkers]

AI triage rated half of the real emergencies as less urgent than they were.

On the FDA's draft risk map, that tool only advises. But advice becomes action once followed, so US hospitals want a third question: how likely is it to be wrong?

https://t.co/yr4SCRnO1L

[New Scientist @newscientist]

Bacteria that are visible without a microscope are generally found in mangroves and fish, but an analysis of different species from around the world suggests they also reside in the human gut https://t.co/7ppZiPyUJX

[Yves Mulkers @YvesMulkers]

Salesforce, Canva, Braze and Instacart kept showing up together today, across three separate stories that had nothing obviously in common. That's not a coincidence, that's a market consolidating in real time. Watching the same four names collide in your feed?

[Antonio Grasso @antgrasso]

Two patients have the same diagnosis. Would the same treatment be right for both? Clinical decision support helps clinicians examine the differences.

Patient information supplies the context. Medical knowledge helps interpret it before a decision is made.

Microblog @antgrasso

Consider a clinician preparing to prescribe a medication. The patient record contains kidney function results that may affect the appropriate dose.

A clinical decision support system can combine that information with medical references and flag a possible dosing concern for review.

Now the clinician has something to examine.

Are the patient data current? Does the recommendation make sense in this particular care situation?

The software can bring relevant evidence to the attention of the clinician while the decision is being considered. The clinician interprets that evidence and decides how to proceed.

The purpose is to make medical knowledge available in the context of the patient, without transferring clinical judgment to the software.

#ClinicalDecisionSupport #DigitalHealth

[New Scientist @newscientist]

Computer models suggest that unrealistically cold oceans would be insufficient to stop Thwaites glacier retreating, although a neighbouring glacier might begin to grow https://t.co/Yqm2TtVxVk

[New Scientist @newscientist]

A time traveller must fight for love in Claire North’s As We Fall Through Time, while a single-celled alien is perplexed by Earth’s biology in Annalee Newitz’s A Wall Is Also a Road. Sci-fi columnist Emily H. Wilson recommends both https://t.co/QNl24SMCfE