This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
In November 2022 I published a post titled “ generativeAI will go mainstream when it goes from playful to useful “, and I think you will agree that this transition is in full swing. 2023 was the year generativeAI went mainstream The pace of advancement in generativeAI has been astounding.
Simultaneously, new startups are forming, and venture capital is already pouring money into the field at an outstanding rate that will only accelerate the impact of this generation of AI. Intellectualproperty lawyers are already arguing who owns the data these AI models are built on.
Adversarial attacks against AI fall into three types: Data misclassification – to generate false positive or negative results. Synthetic data generation-to feed false information. Data analysis – for AI-assisted classical attack generation. AI Attack Surfaces.
2023 was the year of generativeAI, but more specifically, the year we witnessed the power and potential of LLMs, large language models. Both startups and large tech companies leaned in hard, incorporating automation tools and generativeAI applications across verticals. Visual generativeAI made strides as well.
But in the coming age of generativeAI, endless synthetic content and misinformation – there might be an opportunity for traditional media companies to regain their reputation as a 4th branch within a democracy. How can media companies transform generativeAI from threat to opportunity ?
And frankly, we we're, we're far enough down the learning curve here that I know we're putting sort of a lot of intellectualproperty out in the world through publishing this book and, you know, anybody that can have it and therefore, you know, do you, do you need to call us or not? And we wanna see the world do better.
By now, AI is no longer a futuristic conceptits a present reality reshaping industries at an unprecedented pace. The past year has seen generativeAI move beyond its early hype into real-world application, transforming how businesses operate. So thats what we did. Work with someone who has the proof that they can get it done.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content