VR & AR Technology

Tell us everything about #Digital, #VR and #AR

[VR & AR Technology @VR_ARTech]

Learning styles vary: some prefer visual aids, others learn through action, some absorb through listening, while others grasp concepts best through reading and writing, shaping unique learning paths. What about you?

#Learning #PersonalGrowth

[Haas Automation, Inc @Haas_Automation]

Haas Tip of the Day: Reamers aren't just "bigger drills." How they actually cut is different — and it affects your hole finish more than people assume.
#cnc #haas

[VRChat @VRChat]

It's time for the July 16 Dev Update!

Read about the Tanabata celebrations in Japan, QoL changes to the Action Menu, and more!

https://t.co/j8GT2KPsSP

[Antonio Grasso @antgrasso]

The edge-to-cloud continuum is the connected path where some decisions occur close to the device, while others move to the cloud for broader analysis.

Data that needs a fast response can stay near the source, while the cloud supports coordination and scale.

Microblog @antgrasso

Think of a sensor in a factory.

If it detects a machine problem, waiting for every signal to travel to the cloud may be too slow.

Processing data locally can trigger a faster response, reduce network traffic, and keep operations running even when connectivity is limited.

The same logic applies to a smart vehicle, a hospital device, or a retail store.

Some signals need immediate local action because timing matters.

Other data can move to the cloud, where it can be compared across locations, stored for longer periods, and used to improve future decisions.

This balance helps organizations build systems that react quickly when needed and still remain connected at scale.

Edge-to-cloud works best when companies design systems around which data needs immediate local action and which data should move to the cloud for wider coordination.

[Owlchemy Labs @OwlchemyLabs]

ALL FUN AND NO JOB

MAKES JOBBOT A DULL BOT.
MAKES JOBBOT A DULL BOT.
MAKES JOBBOT A DULL BOT.

[Tavus @tavus]

Introducing Tavus Magic Canvas.

Now a PAL can bring anything to life inside a shared canvas at just the right time, a chart dynamically drawn from the numbers being discussed, a question answered on the spot, a calendar with times to pick, a field for the detail that must be exact.

Turn it on for any PAL with a click.

[Antonio Grasso @antgrasso]

Spotlight’s new report shows why credibility matters even more as B2B influence evolves with AI.

Technology can support research and content development.

Trust still comes from human experience and professional responsibility.

@SpotlightAR Report > https://t.co/jTBNsljNLN

[Antonio Grasso @antgrasso]

For years, conversations ended with “now go fill out the form.”

Magic Canvas explores a different idea: letting the conversation complete the task while it is happening. That could change how we think about digital interaction.

@tavus partner.

[Philippine Statistics Authority @PSAgovph]

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READ | PSA Assumes AFSIS Chairship, Advances Data-Driven Regional Food Security

The Philippine Statistics Authority (PSA) hosted and assumed the chairship of the 24th ASEAN Food Security Information System (AFSIS) Focal Point Meeting on 17 to 18 June 2026,

[Linda Grasso @LindaGrass0]

AI is transforming business—but have we started treating energy as a strategic resource?

Every AI workload has an energy cost, and managing it intelligently is becoming a competitive advantage.

Follow @LindaGrass0 for more insights 💡

[Fast Company @FastCompany]

"Wait and get tested when you can potentially do something about it." https://t.co/YOrTBI2vE2

[Antonio Grasso @antgrasso]

Expertise is no longer only about knowing the right answer.

In AI-driven work, it also depends on asking better questions, reading context, and adapting judgment when conditions change.

Microblog by @antgrasso

[Philippine Statistics Authority @PSAgovph]

TINGNAN | Average Production Costs and Returns of Palay (2025) 🌾

Alam mo ba? Ang net-profit cost ratio ay nagpapakita kung magkano ang kinita ng isang magsasaka sa bawat pisong nagastos sa produksyon ng palay.

[Linda Grasso @LindaGrass0]

Behind every AI model, there is a physical chain of power, cooling, and infrastructure.

The next AI debate cannot stay only in the cloud. It must also look at what makes intelligence available.

[Antonio Grasso @antgrasso]

AI will be useful only if the systems around it are designed to serve people.

[Owlchemy Labs @OwlchemyLabs]

Our FIRST EVER DDS Community Concert is up on our YouTube! 🎶

This interdimensional melody will shift your mood and probably tear open the very fabric of the audio-verse. 🎸

Join the jam sess! ⬇️

[Antonio Grasso @antgrasso]

AI can spread decisions across systems, but accountability still needs clear owners.

Traceable inputs, explainable outputs, and human oversight help teams act with control as automation scales.

Microblog @antgrasso #AIGovernance #ResponsibleAI #AI

[VRChat @VRChat]

If you had to show ONE image to convince someone to play VRChat... what would it be?

[AWE @ARealityEvent]

Missed the Enterprise sessions at #AWE2026?

The Enterprise Track sponsored by Lenovo, are now on the AWE XR YouTube channel! Learn how enterprises are achieving real ROI with XR, physical AI, robotics, and smart glasses.

➡️ https://t.co/5j6M1dhfAi

#XR #SpatialComputing

[DeltalogiX @deltalogix]

The AI race is becoming an infrastructure race. Better models will matter, but so will the ability to align energy capacity with data center growth and long-term industrial planning.

[Antonio Grasso @antgrasso]

AI is becoming an energy infrastructure question. Data centers, computing demand and power systems are increasingly connected.

At AIxEnergy, co-located with Gastech 2026, this convergence is the focus.

Register > https://t.co/RBwQKyN7Bf

@GastechEvent Partner #Gastech #Energy

Artificial intelligence is often discussed as if it were mainly a digital issue.

In my view, the more human question is different: what kind of physical infrastructure are we building around AI, and who will benefit from it?

AI growth needs energy systems that can support data centers without putting reliability and affordability under unnecessary pressure for businesses and communities.

AIxEnergy, co-located with Gastech 2026, brings these two worlds into the same conversation: those building computing infrastructure and those responsible for the energy capacity behind it.

If AI is going to scale responsibly, the energy side cannot remain in the background.