How to spot deepfakes and AI-generated images

It can sometimes be difficult to spot AI-generated videos such as deepfakes, in which a person’s facial expression or speech is generated or altered. Deepfakes’ potential to misinform or disrupt democratic processes is huge, especially given we are entering an era where anyone can create them with just a simple text prompt. Andrea Hickerson at the University of Mississippi and Edward J. Delp at Purdue University in Indiana discuss the rising threat from AI-created content and what we can do about it.

How companies are using GenAI

Naveen Rao, Databricks vice president of Generative AI, joins ‘The Exchange’ to discuss generative AI as OpenAI is in talks to raise a funding round that would value the artificial intelligence startup at more than $100 billion.

How Compressed Air Batteries are FINALLY Here

We can’t control the weather (yet). But we can control how we store weather-dependent renewable energy. By making use of salt caves, former mining sites, and depleted gas wells, compressed air energy storage can be an effective understudy when wind or solar aren’t available. It has the potential to offer longer-duration storage that other technologies can’t for a lower capital investment. Can compressed air change the energy storage game? Or is it just a little too niche?

Google’s AI Course for Beginners (in 10 minutes)!

In this video, we unravel the layers of AI, Machine Learning, Deep Learning, and their applications in tools like ChatGPT and Google Bard/Gemini.

We first go through how AI is a broad field of study that encompasses machine learning as a sub-field.

We then break down Machine Learning into supervised and unsupervised models, using real-world examples to illustrate their functions and differences.

We move deeper into Deep Learning: Learn about artificial neural networks and the power of semi-supervised learning in applications like fraud detection in banking.

Then we delve into Generative AI, differentiating it from discriminative models and demonstrating its capabilities in creating new, innovative outputs.

Finally, we walk through Large Language Models (LLMs) and uncover the significance of LLMs in AI, their pre-training processes, and their customization for specific industry applications.

Detroit auto engineers tear down BYD’s Seagull: “An extinction-level event”

Auto industry insiders were stunned when Caresoft, a highly regarded engineering consulting firm, tore down BYD’s mass-market EV, the Seagull. Priced around $11,000, the engineers found the Seagull to be well-designed, user-friendly, rich with options, and of surprisingly high quality and reliability. The US automakers reacted swiftly and produced reports insisting that BYD’s entrance into US car markets would be met with strong enthusiasm from buyers, and legacy carmakers would be unable to survive. Because of the Seagull’s low price point, US tariffs of 25% would be irrelevant: BYD could still make high profits even after the tariffs were paid. Or, BYD could simply place final assembly plants in Mexico and avoid them altogether. Aware of this, the Biden Administration in May jacked the tariffs up to 100% and announced that Chinese car plants even in tariff treaty countries would be cut off from US markets.