DeAngelisReview

The EU is proposing new regulations for AI, especially high-risk uses like facial recognition. This has caused mixed reactions. Some fear it will stifle innovation, while others believe it will build trust in AI. The regulations would limit police use of facial recognition and create a list of high-risk uses of AI. The proposal faces a long road to approval.

The number of internet-connected devices (IoT) is exploding, creating a vast network of smart devices. Artificial intelligence (AI) is playing an increasingly important role in analyzing the data from these devices, leading to the rise of AIoT. This combination is having a big impact in areas like wearables, smart cities, and smart homes. Processing data at the edge of the network, closer to where it's generated, is becoming increasingly important due to the vast amount of data collected by these devices. This approach reduces latency and improves performance. AI is being used at the edge to filter data and identify important signals. As the number of connected devices continues to grow, so will the importance of AI and edge computing.

Artificial intelligence (AI) is making a big impact on marketing. It analyzes data to understand customers, allowing for targeted marketing, personalization, and better ad placement. This results in increased sales and customer satisfaction. Though complex, marketers don't need to be AI experts to leverage its benefits in marketing tools.

This article explores how artificial intelligence (AI) is transforming marketing. AI can analyze vast amounts of data to give marketers insights into customer preferences and behavior. This allows marketers to target customers more effectively, personalize experiences, and improve campaign performance. AI is still evolving, but it has the potential to revolutionize marketing.

This article discusses a new kind of artificial intelligence (AI) called multimodal AI. Unlike traditional AI, which focuses on one type of data (e.g., text, images), multimodal AI can process many data types together, as humans do. This allows for a more comprehensive understanding of the world. The article also mentions a race between the US and China in developing AI. China recently released a powerful multimodal AI model called WuDao 2.0, which may be more sophisticated than other systems.

Decision making, not data analysis, is key to business success, argues this article. While data science finds patterns, decision science uses data and logic for better choices. Enter Autonomous Decision Science (ADS), powered by AI to make judgements and act like an expert, at machine speed.

This article discusses the difference between data science and decision science and argues that decision science is more important for businesses and introduces the concept of Autonomous Decision Science (ADS) as the next step in decision science. ADS uses AI to make decisions at machine speed with human-like judgment.

This article explores Apple's plans to scan iPhones for child sexual abuse material, raising privacy concerns among experts who argue this technology could enable broader surveillance.