Smart portal about artificial intelligence and high technology in Kazakhstan
Masahiro Tanaka will present “DeepSpeed Is Not Just ZeRO: Tensor, Sequence, and Expert Parallelism with ZeRO-Level Usability” at PyTorch Conference North America 2026. The session will cover DeepSpeed’s AutoTP, AutoSP, and AutoEP capabilities for tensor, sequence, and expert…
Hey folks, my name's Steve. Um, I work at Red Hat in the open source AI programs office and I really want to encourage you to come join us at PyTorch conference in San Jose this year. There's a lot of reasons to go, everything from PyTorch in um, we're going to be doing a…
- Language is core to what it means to be human. It's how we make sense of the world around us and how we relate to one another. It's an expression of identity. Language is not only how we communicate with one another, it's also how we communicate with technology. And while most…
- I wanna start with Google's sort of broader mission of making information more accessible and useful. And for 25 years or so, we've done that, impacting billions of people across the world. What do you see as the future of making information universally accessible and what…
Интересно представить, что будущее клинической помощи может заключаться в том, что мы будем слышать, прежде чем видеть. В исследовательском центре Google мы разработали акустические модели для здравоохранения, известные как Here, которые являются базовой моделью. С помощью Here…
SGLang-Diffusion is a high-performance serving framework for diffusion models, designed for both large-scale offline generation and latency-sensitive real-time inference. As diffusion workloads expand from image and video generation to diffusion-based world models, serving…
Hi everyone. I am Guray, compiler engineer in Nvidia, and I'm going to share our recent improvements to CUTLASS for Python. CUTLASS for Python is our technology stack for writing speed of light kernels for the latest generations of GPUs and can be found under the hood today's…
Running large Mixture-of-Experts models across pods creates two major challenges: expert dispatch and combine traffic, and moving the KV cache between prefill and decode. At North America 2026, Ravi Gupta, Rishi Madduri, and Shiksha Patel of AMD will present “MoRI + vLLM: Wide…
- So, a few words of introduction. Dr. Kim is the Chief Medical Officer and Director of IT and Systems at Aravind Eye Care System. He pioneer teleophthalmology in India and developed an EMR system used in many eye hospitals. He has been one of our very close collaborators for…
Using AI to track wildfire boundaries | Chile, February 2024
(gentle music) - [Abigail] Maps tell us where to go, but they are also a lifeline to the things we need. - [Abdoulaye] It's very important to be visible on Maps. We need to know where people live, where are the buildings, especially in informal settlements. That helps with…
Hi, I'm Masahiro Hiramoto from Mitsubishi Electric. I'm a member of the program committee for PyTorch conference North America and a PyTorch ambassador. I'm especially looking forward to seeing what people across the community are building with PyTorch and exchanging ideas with…
Hello everyone, I'm Carlos Costa, a distinction engineer here at IBM Research and co-founder of the LMD project. I'll be heading soon to San Jose for PyTorch Conference North America, where I'll have the privilege of sharing some exciting news about LMD. How the project changed…
When you run a model over a long context, the KV cache gets huge, so you have to throw some of it away. There are competing rules for choosing what to drop: keep the most recent tokens, keep the ones that get the most attention, and so on. The problem is that every method ships…
the northern and southern lights have been a source of Fascination and wonder for thousands of years but in 2024 people in some parts of the world noticed that the Aurora had come to them and if they checked their phones they might have also noticed their GPS thought they were…
(relaxed guitar music) The labor started late in the night around 1:00 AM. I endured the pain 'til 5:00 AM in the morning because of the journey. We had to travel for so long and my wish for every woman is that this should not happen again. (relaxed guitar music) (crickets…
From Maps and Trends, to weather, floods, and wildfires, Google has studied the geospatial world for decades. And we’ve made that information accessible through AI models and real-time services. But synthesizing across these models and combining your data with ours can be…
(rain pattering) - [Narrator] When it comes to a flood crisis, advanced warnings make a big difference. Knowing a flood is coming, even an hour in advance, gives people time to prepare and take action. So imagine if hours became days. (notifications chiming) AI makes that…
In our deep engagements with educators worldwide, they told us that while there's a lot of great AI literacy content out there, there was not enough emphasis on how AI can be used to address humanity's greatest challenges. We asked ourselves, how might we leverage our impact…
Traditionally, the entire geospatial community was used to the era of putting pictures up in front of the monitor and looking at at objects and making sense of what they see. Imagine if you could go from looking at pictures on a display screen to just having insights delivered…
(bright music) - Imagine if you could go from looking at pictures on a display screen to just having insights delivered in a tabular format. What Earth AI enables is a way to look at all change that really helps companies like Planet distill the insight that you need and give…
(upbeat music) (upbeat music continues) - What's really fundamental about Earth AI is that it's for the first time bringing together a whole universe of datasets that allows us to make decisions in a new way. - Google AI is helping us drive better public health insights, which…
(gentle pensive music) - During a disaster event, the days and the hours before a hurricane makes landfall are crucially important. - Disaster decisions are often made without having a full picture. - [Catherine] The key thing from us is not having bottlenecks. - With Earth AI,…
Let's examine a real scenario that requires data and analysis from multiple models. Suppose we are acting as a crisis resilience analyst and trying to understand and coordinate resources around a disaster. We'll ask the agent to predict when Hurricane Helena will make landfall,…
Identifying communities at risk for cholera outbreaks | Google Earth AI
The problems we choose to tackle are driven by a relentless curiosity, the need to ask the right questions that can unlock a better world for everyone. And develop tools that master profound knowledge and earn our deepest trust. Because the challenges we take on here are the…
[Jenna] The interconnectedness of an ecosystem is so important. If we start to take away one component, we lose some of our tall trees, we lose our birds, we lose our mammals It all starts to crumble. Increasingly in the last decades, ecosystems are in decline, and then that…
(inspiring music) Species are going extinct as I speak, and if we don't capture their genetic code now and do it accurately, we'll lose it forever. The goal of the Earth Biogenome Project is to sequence the genomes of 1.8 million species on the planet, everything from mammals to…
We're introducing the traffic simulation tool, the key element of Google's Earth AI portfolio. This is a powerful new instrument for predictive computation that fundamentally derisks major infrastructure investments and validates critical management strategies. This tool models…
When disaster strikes, information is a lifeline. Discover how Groundsource, a new project from Google Research, is helping communities prepare for flash floods using the power of Gemini. Historically, predicting riverine floods relied on physical water gauges—a method that is…