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Powering the future with AI - Insights from NVIDIA 🔋

Powering the future with AI - Insights from NVIDIA 🔋

🏭 AI's role in renewable energy, Google’s lite Gen AI search, reviewing a new Runway competitor, and more!

Everyday AI
October 10, 2023

Outsmart The Future

Today in Everyday AI
7 minute read

🎙 Daily Podcast Episode: How do AI and power relate to each other and what impact will it have on our energy usage? We have a leading expert from NVIDIA to dive into the details. Give it a listen.

🕵️‍♂️ Fresh Finds: An AI IT agent for startups, how Dropbox is approaching AI and virtual work, and AI finding aliens before us?
Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Google’s lite Gen AI search, Mayo Clinic appoints Chief AI Officer and Tesla’s new supercomputer home. For that and more, read on for Byte Sized News.

🚀 AI In 5: Moonvalley is a new text-to-image arriving on the AI scene! Can it give Runway a run for its money (pun intended)? Find out here

🧠 Learn & Leveraging AI: If you’re thinking “Renewable energy? Not for me.” Think again! We’re using more energy than ever before. So how can we leverage AI to help? Keep reading for that!

↩️ Don’t miss out: Did you miss our last newsletter? We talked about Canva Magic Studio's new AI features, Microsoft’s Athena AI chip, and an AI color assistant for your brand. Check it here!

AI in Renewable Energy - Insights from NVIDIA 🔋

We’ve talked about how AI is helping to power our economy. But can it also power the future?

How do AI and power relate to each other and what impact will it have on our energy usage?

We have a leading expert from NVIDIA to dive into ALL the details!

Marc Spieler, Senior Managing Director - Global Energy Industry at NVIDIA, joins us to discuss AI's role in renewable energy and how NVIDIA is using it to shape the future.

Trust us: you’ll be shocked at the ways NVIDIA is using AI to increase energy production. (Using Digital Twins in the Omniverse?!)

Join the conversation and ask Marc and Jordan any questions about AI and renewable energy.

Also on the pod today:

• AI’s role in energy consumption 💡
• Innovations in Green Shipping 🚛
• NVIDIA's smart grid chip 🏡

It’ll be worth your 34 minutes:

Listen on our site:

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Subscribe and listen on your favorite podcast platform

Listen on:

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Google Podcasts | Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – AppManager is an AI IT agent for startups, CallZen acts as an analytic GPT for your contact center, and Moonvalley lets you create cinematic and animated videos from text prompts.

Future of Work – In this interview with Dropbox’s CEO, he touches on how Dropbox is approaching AI and its push for virtual/remote work.

Big Tech - Google’s AI is analyzing its Maps app data to improve traffic lights.

Pop Culture – Researchers are using Harry Potter to test AI’s ability to forget about copyright material.

Fun and Weird – Here’s something you probably haven’t thought about. Could AI find aliens faster than us? Would it tell us?

1. Google's Gen AI Search Goes Lite for Cost Efficiency 💰

Google's been cooking up something special: a lite version of its Search Generative Experience (SGE), blending AI-generated content with traditional search. This leaner variant could mean lower costs for AI generation, keeping those classic links (and ads) higher up. Check out more here

2. Mayo Clinic Appoints Dr. Bhavik Patel as Chief AI Officer 🏥

The Mayo Clinic is doubling down on artificial intelligence, appointing radiologist Dr. Bhavik Patel as its Chief AI Officer. Tasked with expanding AI solutions, Patel emphasizes AI's potential to revolutionize healthcare, from improving diagnostics to optimizing patient treatment paths. Read more

3. AMD Acquires Nod.ai 🚀

In a strategic move to escalate its AI game, AMD announces the acquisition of AI startup Nod.ai. This tactical play isn't just for show; it's a calculated effort to catch up with Nvidia's hefty lead in the AI chip market. Nod.ai's tech magic is all about fine-tuning AI models for AMD's chips, making it a prized catch.

4. Tesla's New 'Dojo' Supercomputer Home 🏠

Tesla's AI ambitions are hitting a new high with the construction of a bunker in Austin, Texas, set to house their new supercomputer, 'Dojo.' This beast of a machine is central to Tesla's plans, potentially revolutionizing not just electric vehicles but other sectors too. Learn more here

5. Generative AI's Big Chill: Reality Bites in 2024 🧊

Generative AI's meteoric rise is set for a reality check, according to analysts at CCS Insight. Come 2024, the hype will hit a cold front as costs soar and complexity mounts, dousing the flames of rapid adoption. With the EU's regulatory gears grinding slowly, the industry's self-regulation takes the lead. Dive into the details here

Moonvalley – A new competitor to Runway? 👀

Moonvalley is a new text-to-video platform arriving in the AI game.

With Runway leading the way in text-to-video, does Moonvalley stand a chance to bring some competition?

We're diving in and checking out its features to find out!

Check out today's AI in 5.

🤷‍♂️ What’s Going On and Why It Matters:

When you think artificial intelligence, what do you think of?

ChatGPT?

Creating a text-to-video intro for your marketing campaign?

How about … using AI to literally power the future?

Tall task, right?

Luckily we tapped into insights from one of the world’s largest companies in NVIDIA to help us tackle this tough issue.

Marc Spieler, Senior Managing Director of Global Energy Industry at NVIDIA, joined Everyday AI for a fresh take on AI.

Yeah, GenAI is cool. And NVIDIA’s chips power the whole revolution.

But today, we focused on how artificial intelligence can solve some of the most challenging energy issues we face today.

Because here’s the reality: energy consumption is at an all-time high. New technology means more devices.

And all that nifty GenAI we all love?

Needs tons of power.

That’s why Marc and NVIDIA are using AI to find energy savings, reduce waste, and increase production.

And trust us, you don’t need to be working in the renewal energy field to find value from today’s show.

Here’s why.

Energy consumption and finding sources of renewable energy affects us all, whether we realize it or not.

Marc laid out the reasons why (and how) AI helps us better manage and produce energy, and broke it down in a way all of us can understand.

What else did we learn today?

A ton.

Collaborating with data center companies to create digital twins of data centers
Ensuring energy efficiency in data center components.
Importance of Compute per watt in maximizing performance and reducing energy consumption.
Managing the increasing number of electric vehicles on the grid
AI's role in optimizing energy production and consumption
Energy storage solutions and infrastructure

And the list goes on and on.

So, let’s break it down and talk about what it all means. 👇

🦾How You Can Leverage:

If you missed out on today’s show, it’s worth a second look. And watch.

We tackled how AI can be used to reduce consumption across all energy sectors, from old-school oil and gas to solar wind farms and renewables.

And here’s the facts — we’re using more energy than ever before.

From an increase in electric cars, more devices in the home, and the surprising energy demands of GenAI, it’s hard to unplug. Or ignore the challenges of keeping the lights on.

Let’s make sense of it all, and understand how AI can help solve challenges in rising energy demands.

1 – AI can increase production 🏭

That’s right, AI can actually help us squeeze more power at current facilities.

Marc gave us a great example of using Digital Twins to simulate how energy plants actually generate power. (Crazy, right?)

In short, NVIDIA is able to create a virtual twin of energy production plants and use AI and machine learning to learn from virtual clones, testing improvements that can be implemented in real life.

Try this:
Wanna get lost in power, energy consumption, and digital twins? (Us, too!) Go take a deep dive to see how NVIDIA used digital twins and the Omniverse to work with Siemens Energy. Its findings — learnings through this process could help save utility providers $1.7 billion a year.

2 – Personal power matters 🔌

Think you can’t make a difference in reducing energy consumption?

Think again … and AI can help. Marc mentioned some easy takeaways on using AI in people’s everyday lives. Using AI-powered GPS apps like Waze and tapping into smart home energy management systems are two easy wins in using AI to reduce your energy consumption.

Try this: In the same way we use GenAI to make our work lives (and regular lives) easier, think of how you can use AI in your daily life to reduce your energy consumption. Plus points: it saves you money, too. Also, check out a blog post Marc wrote about how the latest NVIDIA tech is powering the future of clean energy, which ultimately lowers all of our utility bills. (Score!)

3 – Smarter smart homes are coming 🧠️

We were kinda thrown off by this.

But you know the ‘smart meters’ that we hear about all the time in our homes? Turns out they’re not always … smart. Marc said most at-home smart meters are only good at two things: giving you an accurate reading of your home’s power consumption and shutting off your power if you don’t pay your utility bill.

Try this: Keep an eye on what’s next in home meter tech. Marc mentioned NVIDIA’s work with Utilidata, which partnered with NVIDIA to create a smart grid chip. What will this do? In simple terms, Utilidata’s smart grid chip will be embedded in the ‘smart meters’ to make them … smart. The chip will enhance grid resiliency and integrate distributed energy resources.

Now This …

What are your thoughts on AI and energy? Any improvements you’re trying to make or looking to use AI in any way? Let us know with a reply.

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