Data Science

China has laid out a blueprint for regulating generative AI – technology that powers chatbots like OpenAI’s ChatGPT and Google’s Bard. Overseen by the Cyberspace Administration of China, the new regulations set parameters on the public use of AI. The law instructs Chinese AI systems to adhere to "core socialist values," which raises some interesting questions. Continue Reading →

Large Language Models (LLMs) are transforming the way we interact with technology. These models, developed by leading tech companies such as OpenAI, Replicate, Cohere, Hugging Face, and Anthropic, to name a few, are pushing the boundaries of what's possible in natural language processing. Here's a short overview of the most popular LLMs from these companies, exploring their unique capabilities and best use cases. Continue Reading →

For the past several years I've been publishing various versions of the "11 Hottest Tech Trends of 1776." This year, I thought it would be fun to ask ChatGPT for some help. So I asked it to read the previous versions of the article and if it could "think of any other technological advancements between 1750 and 1800 that would be a good addition to this story." It could and it did. So here, for your Independence Day reading pleasure, are the 18 hottest tech trends circa 1776. Continue Reading →

Welcome to the brave new world of generative AI, where the machines are no longer just number crunchers, they’re word crunchers, image crunchers, audio and video crunchers. But here’s the catch: If we’re to ride the wave of this technological revolution, we need to rethink not just the tools we use, but also how we use them. Continue Reading →

At a dinner party the other night, a very accomplished business person told a story about how he and his wife were certain that their devices were listening to their conversations. “I was talking to my wife about a pair of designer shoes that she wanted to purchase, and not 10 minutes later while she was doing some online research for work, she saw an ad for that exact pair of shoes. She hadn’t searched for the shoes; the ad just appeared. Clearly, our computers or our phones are listening.” Some people nodded in agreement, and others began to chime in. Continue Reading →

You've probably read about the "existential threat" posed by Artificial General Intelligence (AGI). It's a dark future where super-intelligent machines outsmart us and cause humanity to go extinct. We may be mesmerized by this high-stakes narrative, but we’re also being misled. The real threats of AI are already here, lurking in our everyday digital experiences. While tech titans and the media tout a dystopian AI future, they’re drawing our attention away from the AI and related data privacy issues we need to solve right now. Continue Reading →

The Office of Science and Technology Policy (OSTP) is asking for your help. The Biden-Harris Administration is developing a National Artificial Intelligence (AI) Strategy that will chart a path for the United States to harness the benefits and mitigate the risks of AI. To inform this strategy, OSTP requests public comments to help update U.S. national priorities and future actions on AI. Continue Reading →

The verdict is in. Ed Sheeran's 2014 hit, "Thinking Out Loud," did not infringe on Marvin Gaye's and Ed Townsend's 1973 hit, "Let's Get It On." As I will explain in a moment, from a musical standpoint, this was the only possible outcome. The copyright laws were applied as expected, and human composers in the United States are free to compose as they have been doing for centuries. But what about AI? Is it free to compose? Let's explore. Continue Reading →

A machine learning algorithm called CEBRA is unlocking the hidden structure in neural code, with the potential to revolutionize brain-machine interfaces (BMIs). The algorithm can be used to decode what a mouse sees while watching a movie, predict primate arm movements, and reconstruct the positions of rats as they roam. The research, led by Mackenzie Mathis, EPFL’s Bertarelli Chair of Integrative Neuroscience, was published in Nature. Continue Reading →

The White House announced AI-focused initiatives ahead of a meeting with top tech CEOs from Alphabet, Anthropic, OpenAI, and Microsoft. Key actions include allocating $140 million in funding to seven new National AI Research Institutes and holding an independent exercise with major tech players to assess generative AI systems' adherence to the Biden administration's AI Bill of Rights blueprint. Continue Reading →