As Congress races to pass President Donald Trump’s “Big Beautiful Bill,” it’s also sprinting to placate the many haters of the bill’s “AI moratorium” provision which originally required a 10-year pause on state AI regulations.
The…
As Congress races to pass President Donald Trump’s “Big Beautiful Bill,” it’s also sprinting to placate the many haters of the bill’s “AI moratorium” provision which originally required a 10-year pause on state AI regulations.
The…
Machine learning on tabular data focuses on building models that learn patterns from structured datasets, typically composed of rows and columns similar to those found in…
Generating ultra-long texts that span thousands of words is becoming increasingly important for real-world tasks such as storytelling, legal writing, and educational…
Mark Zuckerberg notified Meta staff today to introduce them to the new superintelligence team. The memo, which WIRED obtained, lists names and bios for the recently hired employees, many of whom came from rival AI firms like OpenAI, Anthropic,…
Several researchers have taken a broad view of scientific progress over the last 50 years and come to the same troubling conclusion: Scientific productivity is declining. It’s taking more time, more funding, and larger…
Microsoft has taken “a genuine step towards medical superintelligence,” says Mustafa Suleyman, CEO of the company’s artificial intelligence arm. The tech giant says its powerful new AI tool can diagnose disease four times more accurately…
Interested in leveraging a large language model (LLM) API locally on your machine using Python and not-too-overwhelming tools frameworks? In this step-by-step article, you will set up a local API where you’ll be able to send prompts to an LLM…
Masked Diffusion Models (MDMs) are powerful tools for generating discrete data, such as text or symbolic sequences, by gradually unmasking tokens over time. In each step, tokens are…
Robotic control systems have made significant progress through methods that replace hand-coded instructions with data-driven learning. Instead of relying on explicit programming, modern…
LLMs have rapidly evolved into complex natural language processors, enabling the development of agentic systems that manage complex workflows. However, the use of LLM agents for…