Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

🤯 30.8 BILLION cyberattacks stopped DAILY! How? Precision AI (ML+Deep Learning+Gen AI). Why? Because Gen AI alone hallucinates and cybersecurity demands accuracy. From metadata analysis to deep learning, & now Precision AI,Palo Alto Networks Senior Vice President and GM, Anand Oswal (Anand Oswal) explains how the next evolution of...

TheSixFiveMedia's profile picture

Six Five Media

4,188 subscribers

30,579 görüntüleme • 1 yıl önce •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

The challenge of 5G security: harmful URLs can change in SECONDS. How do you protect against these threats in real-time? Palo Alto Networks' SVP & GM, Anand Oswal (Anand Oswal) , joined Will Townsend (Will Townsend) at #MWC25 to explain their solution: real-time metadata analysis, deep learning, and now, GenAI. Get the full details on how they are working to build a secure 5G future:
0:25

The challenge of 5G security: harmful URLs can change in SECONDS. How do you protect against these threats in real-time? Palo Alto Networks' SVP & GM, Anand Oswal (Anand Oswal) , joined Will Townsend (Will Townsend) at #MWC25 to explain their solution: real-time metadata analysis, deep learning, and now, GenAI. Get the full details on how they are working to build a secure 5G future:

Six Five Media

36,986 görüntüleme • 1 yıl önce

What impact does Palo Alto Networks' new SASE 5G w/ AI have on security? Six Five Media is at #MWC25 where Will Townsend gets the latest on this new solution from Palo Alto Networks' Anand Oswal (Anand Oswal). Find out how Prisma SASE 5G is being used to secure mobile networks and drive new opportunities for 5G monetization. $PANW
11:46

What impact does Palo Alto Networks' new SASE 5G w/ AI have on security? Six Five Media is at #MWC25 where Will Townsend gets the latest on this new solution from Palo Alto Networks' Anand Oswal (Anand Oswal). Find out how Prisma SASE 5G is being used to secure mobile networks and drive new opportunities for 5G monetization. $PANW

Six Five Media

51,671 görüntüleme • 1 yıl önce

We've spent years learning how to prompt AI. Now AI is starting to understand us instead. Zumi by az8 doesn't just generate videos. It understands your project, anticipates what you need, and actively helps throughout the creative process. This feels like the next evolution of AI video creation. Here's how: ↓
1:08

We've spent years learning how to prompt AI. Now AI is starting to understand us instead. Zumi by az8 doesn't just generate videos. It understands your project, anticipates what you need, and actively helps throughout the creative process. This feels like the next evolution of AI video creation. Here's how: ↓

FELIX

133,778 görüntüleme • 1 ay önce

The future starts NOW! RYO-CHAN has unleashed a new era, a next gen AI-driven platform for smart contract analysis and portfolio management. Built on the samurai spirit, designed for precision, and ready to dominate. Be part of history. Subscribe now!
0:20

The future starts NOW! RYO-CHAN has unleashed a new era, a next gen AI-driven platform for smart contract analysis and portfolio management. Built on the samurai spirit, designed for precision, and ready to dominate. Be part of history. Subscribe now!

RYO Coin

14,958 görüntüleme • 1 yıl önce

At Promise, we are pioneering a new era of filmmaking. We’re excited to share a behind the scenes look of our work-in-progress film, NinjaPunk—an original IP we’re building at Promise. Learn how we integrated Gen AI and 3D-created cityscapes and sets, AI-created characters, and performances from live actors and stunt performers layered into cutting-edge AI/machine learning frameworks. Gen AI isn’t here to replace the craft of filmmaking—it’s here to expand what’s possible. Get the full story behind NinjaPunk on our blog:
1:51

At Promise, we are pioneering a new era of filmmaking. We’re excited to share a behind the scenes look of our work-in-progress film, NinjaPunk—an original IP we’re building at Promise. Learn how we integrated Gen AI and 3D-created cityscapes and sets, AI-created characters, and performances from live actors and stunt performers layered into cutting-edge AI/machine learning frameworks. Gen AI isn’t here to replace the craft of filmmaking—it’s here to expand what’s possible. Get the full story behind NinjaPunk on our blog:

Promise

37,958 görüntüleme • 1 yıl önce

On a Reddit dupe called Moltbook, AI agents post much like we would, chatting about everything from religion to crypto and even about "their humans." But why? And is the AI doing this all on its own? In the latest installment of AI, Explained by Humans — our new series where our tech team breaks down developments in AI and how they could affect our daily lives — tech reporter Tharin Pillay explains what we're learning from this, and why it matters.
1:03

On a Reddit dupe called Moltbook, AI agents post much like we would, chatting about everything from religion to crypto and even about "their humans." But why? And is the AI doing this all on its own? In the latest installment of AI, Explained by Humans — our new series where our tech team breaks down developments in AI and how they could affect our daily lives — tech reporter Tharin Pillay explains what we're learning from this, and why it matters.

TIME

30,973 görüntüleme • 6 ay önce

How is Ai and technology used in Formula 1? 🏁 New technologies and Ai enabled software are enhancing precision in Formula 1, used by the FIA to support fair and consistent decisions - from track limits to race control. 👉 Full technical deep dive is live on YouTube #FIA #F1 #FIAExplained
0:40

How is Ai and technology used in Formula 1? 🏁 New technologies and Ai enabled software are enhancing precision in Formula 1, used by the FIA to support fair and consistent decisions - from track limits to race control. 👉 Full technical deep dive is live on YouTube #FIA #F1 #FIAExplained

FIA

29,323 görüntüleme • 5 ay önce

How does RTX neural rendering bring virtual worlds to life? Watch Bryan Catanzaro, VP of Applied Deep Learning Research, explain how it works and the new levels of realism it brings to graphics and physical AI.
1:31

How does RTX neural rendering bring virtual worlds to life? Watch Bryan Catanzaro, VP of Applied Deep Learning Research, explain how it works and the new levels of realism it brings to graphics and physical AI.

NVIDIAGameDev

29,922 görüntüleme • 7 ay önce

Jensen Huang on "distillation" On his new interview with axios, he was asked this question "Should open source model companies be allowed to distill closed models" "Distillation—learning from AI, learning from other people, and learning from other sources of knowledge, is fundamental to intelligence. We are constantly learning from other people. I am learning from you through the questions you are asking, and you are learning from me. All day long, we are learning from one another. AI also has to learn from something. The original AI models, whether they were open or closed, were trained on previously created knowledge from the internet. Now, AI is generating more content than humans. In a few more years, the internet could be 99% AI-generated content, and that content will have been created by some form of AI. As a result, AI systems will constantly be distilling knowledge and intelligence from other AI systems. The fact that AI can learn is a good thing. We want AI systems to be intelligent because a smarter AI can also be a safer AI." ---- From "Axios" YouTube channel, (full video link in comment)
1:07

Jensen Huang on "distillation" On his new interview with axios, he was asked this question "Should open source model companies be allowed to distill closed models" "Distillation—learning from AI, learning from other people, and learning from other sources of knowledge, is fundamental to intelligence. We are constantly learning from other people. I am learning from you through the questions you are asking, and you are learning from me. All day long, we are learning from one another. AI also has to learn from something. The original AI models, whether they were open or closed, were trained on previously created knowledge from the internet. Now, AI is generating more content than humans. In a few more years, the internet could be 99% AI-generated content, and that content will have been created by some form of AI. As a result, AI systems will constantly be distilling knowledge and intelligence from other AI systems. The fact that AI can learn is a good thing. We want AI systems to be intelligent because a smarter AI can also be a safer AI." ---- From "Axios" YouTube channel, (full video link in comment)

Rohan Paul

443,276 görüntüleme • 1 ay önce

I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Army of Copilots): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, January 29th, I'm sharing one of my best AI Projects: Time Series Forecasting with AI Register here (1570+ registered):
15:38

I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Army of Copilots): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, January 29th, I'm sharing one of my best AI Projects: Time Series Forecasting with AI Register here (1570+ registered):

Matt Dancho (Business Science)

242,084 görüntüleme • 1 yıl önce

🔥This is a new era of filmmaking! We’re excited to share a sneak peek of our film, NinjaPunk—an original IP we’re building at Promise. Set in 2065 Los Angeles, NinjaPunk features Gen AI and 3D-created cityscapes and sets, AI-created characters, and performances from live actors and stunt performers layered into cutting-edge AI/machine learning frameworks. Gen AI isn’t here to replace the craft of filmmaking—it’s here to expand what’s possible. Get the full story behind NinjaPunk on our blog. Link in the comments!
0:56

🔥This is a new era of filmmaking! We’re excited to share a sneak peek of our film, NinjaPunk—an original IP we’re building at Promise. Set in 2065 Los Angeles, NinjaPunk features Gen AI and 3D-created cityscapes and sets, AI-created characters, and performances from live actors and stunt performers layered into cutting-edge AI/machine learning frameworks. Gen AI isn’t here to replace the craft of filmmaking—it’s here to expand what’s possible. Get the full story behind NinjaPunk on our blog. Link in the comments!

Dave Clark

87,227 görüntüleme • 1 yıl önce

I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Data Science Agents): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, May 21st, I'm sharing one of my best AI Projects: AI Customer Segmentation Agent with Python Register here (570+ registered):
15:38

I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Data Science Agents): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, May 21st, I'm sharing one of my best AI Projects: AI Customer Segmentation Agent with Python Register here (570+ registered):

Matt Dancho (Business Science)

35,452 görüntüleme • 1 yıl önce

AI-scale networking is hitting a new power and density ceiling — and Dell + Broadcom are rethinking the fabric from the thermals up. At SC25, Jim Wynia breaks down why Direct Liquid Cooling (DLC) is becoming a must for next-gen AI networks. Wynia puts it simply: when the hardware runs cooler, everything runs more efficiently — and the AI fabric scales further. Watch the full conversation on how Dell and Broadcom are reclaiming power and performance with the Tomahawk 6 and Enterprise SONiC.
1:21

AI-scale networking is hitting a new power and density ceiling — and Dell + Broadcom are rethinking the fabric from the thermals up. At SC25, Jim Wynia breaks down why Direct Liquid Cooling (DLC) is becoming a must for next-gen AI networks. Wynia puts it simply: when the hardware runs cooler, everything runs more efficiently — and the AI fabric scales further. Watch the full conversation on how Dell and Broadcom are reclaiming power and performance with the Tomahawk 6 and Enterprise SONiC.

Six Five Media

66,740 görüntüleme • 8 ay önce

This is AI the way it should be used. What you see here is plug-and-play AI: No setup, no technical steps, no learning curve. Just open, use, and get results. The SME owner in this video uses MWX tools as part of her business' daily operation: creating content faster, staying consistent, and keeping costs under control. That’s how AI becomes part of real business routines. So, what usually stops you from using AI tools consistently?
1:06

This is AI the way it should be used. What you see here is plug-and-play AI: No setup, no technical steps, no learning curve. Just open, use, and get results. The SME owner in this video uses MWX tools as part of her business' daily operation: creating content faster, staying consistent, and keeping costs under control. That’s how AI becomes part of real business routines. So, what usually stops you from using AI tools consistently?

MWX | Real-Time Alpha AI

31,175 görüntüleme • 8 ay önce

💬 “We're trying to make the most open approach to AI development that the world has ever seen.” 💡 Openness isn’t optional — it’s essential for the future of AI. That’s why Nemotron was built: to set new standards for speed, transparency, and versatility in enterprise AI. Hear Bryan Catanzaro, VP of Applied Deep Learning Research at NVIDIA, share how Nemotron gives developers the tools to build trusted, customizable AI for modern organizations. Watch the conversation 👇
3:40

💬 “We're trying to make the most open approach to AI development that the world has ever seen.” 💡 Openness isn’t optional — it’s essential for the future of AI. That’s why Nemotron was built: to set new standards for speed, transparency, and versatility in enterprise AI. Hear Bryan Catanzaro, VP of Applied Deep Learning Research at NVIDIA, share how Nemotron gives developers the tools to build trusted, customizable AI for modern organizations. Watch the conversation 👇

NVIDIA

52,571 görüntüleme • 11 ay önce