- Everyday AI
- Posts
- How AI is Transforming Climate Forecasting and Weather Prediction
How AI is Transforming Climate Forecasting and Weather Prediction
OpenAI's new MLE-benchmark, NVIDIA's Blackwell chips sell out for a year, Gmail users become target of AI scam and more!
Everyday AI
October 11, 2024
š Subscribe Here | š£ Hire Us To Speak | š¤ Partner with Us | š¤ Grow with GenAI
Sponsored by
āIf you want to understand artificial intelligence, get better at understanding human intelligence,ā says author and professor of psychology Tomas Chamorro-Premuzic.
He joins the Microsoft WorkLab podcast to discuss how AI can help unlock greater human performance.
Learn how work is changing on WorkLab, available wherever you get your podcasts.
Outsmart The Future
Today in Everyday AI
6 minute read
š Daily Podcast Episode: Ready to see how AI is rewriting our climate future? Weāre diving deep into how NVIDIAās cutting-edge AI is transforming climate forecasting in ways you wouldnāt believe. Give it a listen.
šµļøāāļø Fresh Finds: Intel unveils processor for AI PCs, Walmart testing out a new LLM and AMD and Dell partner up. Read on for Fresh Finds.
š Byte Sized Daily AI News: OpenAIās new MLE-benchmark, NVIDIA's Blackwell chips sell out for a year and AI scam targets Gmail users. For that and more, read on for Byte Sized News.
š AI In 5: Weāre showing you how you can use Bing Deep Search and Microsoft Copilot at the same time for the ultimate research tool. See it here
š§ Learn & Leveraging AI: We break down what an NVIDIA expert had to say on AIās impact on climate and weather. Keep reading for that!
ā©ļø Donāt miss out: Did you miss our last newsletter? We talked about OpenAI stopping 20 cyber crimes worldwide, Tesla unveiling an AI taxi and AMD challenges NVIDIA with new AI chips. Check it here!
How AI is Transforming Climate Forecasting and Weather Prediction š¤
Ready to see how AI is rewriting our climate future?
Weāre diving deep into how cutting-edge AI is transforming climate forecasting in ways you wouldnāt believe.
From simulating extreme weather patterns to unlocking a whole new level of prediction accuracy, the future of climate science is hereāand itās powered by NVIDIAās Earth-2, a visionary project that uses AI to build a digital twin of the planet.
Another game-changer?
NVIDIAās Stormcast.
It's pushing the boundaries of weather prediction with generative AI, offering unprecedented precision in forecasting major weather events.
Mike Pritchard, Director of Climate Simulation Research at NVIDIA, joins us to discuss.
Join the conversation and ask Jordan and Mike questions on AI and weather here.
Also on the pod today:
ā¢ Data Streams and Predictions š
ā¢ Impact of AI on Weather Forecasting š¦
ā¢ AI in Climate Change and Regulation š”
Itāll be worth your 34 minutes:
Listen on our site:
Click to listen
Subscribe and listen on your favorite podcast platform
Listen on:
Hereās our favorite AI finds from across the web:
New AI Tool Spotlight ā Octomind is an AI agent QA tool, Anything World lets you generate any 3D model with AI and Augment UI provides AI-powered UI generation.
AI Chips ā Intel has released its Core Ultra 200s desktop processor for AI PCs.
Big Tech ā Walmart is starting to test Wallaby, an LLM designed to enhance customer service.
AI in Society - Russia says its ramping up its AI powered drone deployments in Ukraine.
AI Tech ā Fitness app Strava has added a new AI coach.
AMD - AMD had unveiled a GPU integration for the Dell Enterprise hub.
Open LLMs now powered by @AMD GPUs! š excited to share that yesterday at the AMD Advancing AI conference, we launched the AMD GPU integration for the @Dell Enterprise hub!
Customers can now easily run open LLMs from @AIatMeta, @GoogleDeepMind, and @MistralAI seamlessly on AMDā¦ x.com/i/web/status/1ā¦
ā Philipp Schmid (@_philschmid)
6:48 AM ā¢ Oct 11, 2024
1. OpenAIās MLE-bench: A New Test for AI Skills in Data Science š
OpenAI has just launched MLE-bench, a groundbreaking benchmark designed to evaluate AI systems using 75 real-world Kaggle competitions, pushing the boundaries of machine learning engineering.
While their latest model, o1-preview, showed impressive results, achieving medal-worthy performance in 16.9% of tasks, it still revealed significant gaps in creativity and adaptability compared to human data scientists.
2. NVIDIA's Blackwell Chips Sold Out for 12 Months š¤Æ
NVIDIA's next-gen AI processors, dubbed Blackwell, are flying off the shelves, with production on schedule and demand set to last for the next year. Analysts from Morgan Stanley report that NVIDIA is entering a robust long-term investment phase in AI, predicting a powerful surge in 2025.
With NVDA stock nearing a buy point of 140.76, itās catching the attention of investors, solidifying its position as a top pick among semiconductor stocks. This news not only reflects NVIDIA's strong market presence but also underscores the growing importance of AI technologies across various industries.
3. New AI Scam Targets Gmail Users š©
A recent warning from Microsoft consultant Sam Mitrovic highlights an alarming new trend in AI-driven scams targeting Gmail users. Mitrovic recounted a frightening experience where he almost fell for a sophisticated phishing attack, complete with a convincing AI-generated voice impersonating Google support.
The incident serves as a stark reminder that even the most vigilant users can be deceived by these evolving tactics, which leverage urgency and trust to extract sensitive information. As hackers refine their methods, it's crucial for individuals to stay alert and utilize verification tools to protect their accounts and personal data effectively.
4. TikTok Makes Major Cuts For AI Future āļø
In a significant shift towards automation, TikTok is laying off hundreds of employees, primarily in Malaysia, as it increasingly relies on AI for content moderation. Although the exact number remains undisclosed, reports suggest that fewer than 500 jobs are affected, following previous cuts earlier this year that impacted over 1,300 positions globally.
This move signals a broader trend in the tech industry where companies are streamlining operations to enhance efficiency, which could lead to changes in job landscapes across social media platforms.
5. AWS CEO Speaks on Amazonās AI Strategy š§
New AWS CEO Matt Garman is steering Amazon's generative AI focus toward cost efficiency and flexibility, setting it apart from competitors like Microsoft and Google, who are pouring billions into various flashy models. Garman emphasizes the importance of customer data and intellectual property as key differentiators, while also revealing Amazon's five-year plan to develop custom silicon for enhanced performance.
As AWS Bedrock gains traction, Garman notes a surge in developers building on the platform, suggesting a promising future for businesses looking to leverage AI. However, he warns of the growing energy demands of AI, hinting that nuclear power may be the necessary solution to meet the skyrocketing electricity consumption
Bing Deep Search PLUS Copilot sidebar: doubling down on GenAI
Bing Deep Search and Microsoft Copilot are two great AI features.
But did you know thereās a way to use both at the same time?
Weāre showing you the benefit of Bing Deep Search PLUS Copilotās sidebar in Bing.
Check out today's AI in 5.
š¦¾How You Can Leverage:
Could Generative AI keep us safer from dangerous weather?
With the recent devastating storms roaring across the U.S., this question was on our minds.
So, we called on the help from the big brains powering the future of weather.
Mike Pritchard joined Everyday AI to talk all things climate forecasting and weather prediction. Mike is the Director of Clime Simulation Research at NVIDIA.
(You knowā¦. That little company thatās about to overtake Apple as the most valuable company in the world?)
And while most of us know NVIDIA as the GPU maker thatās literally powering the Generative AI revolution, their reach spans broad sectors.
Like being an integral piece of the future of weather prediction.
Can Generative AI completely reshape how we view weather? Can it help us be more prepared for severe weather and natural disasters?
We all have questions.
Grab your reading glasses, and letās get safer yāall. š
1 ā Todayās pollution lives for 100 years šØ
Were we the only ones shocked by this?
When it comes to protecting the climate (and forecasting its future), itās important to know the lasting impact of the decisions we make today.
Mike said that research shows pollutants stick around for nearly a century.
Yikes.
And all of the increased fossil fuel emissions lead to a warmer climate and increasingly severe weather.
NVIDIA is trying to use its AI tech to better understand this impact.
Try this:
Mike filled us in on how NVIDIAās research initiatives are playing a huge part in helping the worldās weather experts get a better grasp on our changing climate.
Two big initiatives:
Earth-2: A digital twin of Earth that simulates global weather and climate and StormCast, An AI model that can help predict mesoscale weather events up to 6 hours in advance.
2 ā The weather world needs accuracy šÆ
We all know the joke.
The weather guy or gal is the only person who can be wrong 50% of the time and still keep their jobs.
Why?
Because traditional weather modeling hasnāt been able to keep pace with a rapidly evolving climate.
In short, Mike explained that every six hours, meteorologists launch balloons and gather data from satellites and ground sensors to predict the weather.
They use this information to create models, but because weather is chaotic, predictions can vary widely.
Then, the weather people and apps we all use pick from about 6 to 12 different weather models to help make their predictions.
Hence, the sometimes off-kilter forecasts, especially for severe events like the recent hurricanes and tropical storms weāve been experiencing.
Thereās a strong need for better predictions as climate change causes more extreme weather.
Entering the Chat: Generative AI.
Try this:
Mike said the new injection of Generative AI is already having HUGE impacts on expertsā ability to understand and predict weather.
AI Models: NVIDIAās global AI weather model has disrupted traditional forecasting methods, helping organizations like the European Center for Medium-Range Weather Forecasting improve accuracy.
Probabilistic Predictions: Generative AI allows for the creation of multiple possible outcomes, rather than just a single prediction. This gives a fuller picture of what might happen.
Speed and Efficiency: AI models run simulations up to 1,000 times faster than traditional methods, enabling real-time updates and larger ensembles of predictions.
Skill Comparison: The StormCast model shows skill comparable to NOAAās high-resolution models, providing more accurate forecasts during severe weather.
You can read more about StormCast here, and dive into Earth2 here.
3 ā More AI = more insights = safer futures š
AI and science canāt stop todayās weather.
But it can make us more aware of our role and make positive changes.
And AIās most important short-term gain?
Faster and more accurate predictions ahead of extreme weather events.
Mike emphasized that AI can improve this by providing more accurate and timely forecasts, helping us better prepare for unpredictable weather.
Try this:
NVIDIA's StormCast uses AI to create high-resolution weather models that can predict storms more accurately than traditional methods.
And because governments and meteorological agencies can tap into NVIDIAās AI-powered insights, future weather preparedness goes up.
That means quicker updates on storm paths and intensity. With AI, meteorologists can run many simulations at once, giving better insights into possible outcomes.
This helps communities prepare for severe weather, increasing safety and reducing damage.
Is the intersection of AI and climate/weather your thang? If so, weād recommend this deep dive from Climavision showing how AI is changing forecasting.
Now This ā¦
Let us know your thoughts!
Vote to see live results
If our newsletter was sent at a more consistent time, would you read it more?Be honest. Our feelings won't be hurt |
Reply