A specialized glass layer could make tomorrow's computers faster and more energy efficient. An early version of the glass substrate developed by Absolics. Human-made glass is thousands of years old. But it's now poised to find its way into the AI chips used in the world's newest and largest data centers. This year, a South Korean company called Absolics is planning to start commercial production of special glass panels designed to make next-generation computing hardware more powerful and energy efficient. Other companies, including Intel, are also pushing forward in this area.

Hosted by Eleanor Drage and Kerry McInerney, The Good Robot is a podcast which explores the many complex intersections between gender, feminism and technology. In this episode, we talk to Tomasz Hollanek, researcher at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge. Tomasz argues that design is central to AI ethics and explores the role designers should play in shaping ethical AI systems. The conversation examines the importance of AI literacy, the responsibilities of journalists in reporting on AI technologies, and how design choices embed social and political values into AI. Together, we reflect on how critical design can challenge existing power dynamics and open up more just and inclusive approaches to human-AI interaction.

Imagine observing someone scratching their arm; to understand why, additional context would be necessary. However, spotting a mosquito nearby would immediately offer a likely explanation for the person's discomfort, thereby alleviating

Designing reward functions for efficiently guiding reinforcement learning (RL) agents toward specific behaviors is a complex task.

Itisoften the responsibility of the agent designer toconstruct thistargetwhich,inrichandcomplexenvironments,constitutesaonerousburden; without full knowledge of the environment itself, a designer may forge a suboptimal learning target that poorly balances the amount ofinformation an agent must acquire to identify the target against the target's associated performance shortfall.

Volvo's Electric EX60 SUV Has a 400-Mile Range--and Rethinks the Humble Seat Belt The Swedish brand's latest computer-packed EV hopes to take on and beat the BMW iX3. Alongside the chosen few in WIRED's breakdown of the most anticipated EVs coming this year, the arrival of the Volvo EX60 has also been eagerly awaited. This is mainly because of the impressive stats surrounding the car; the headline claim is a range of more than 400 miles. Sitting between the EX40 and EX90, the new EV looks more like a sibling of the entry-level EX30, which is a good car but too fast for its own good . Plus, the reveal images here from Volvo initially seem to show that the design team has figured out a way to remove the unsightly lidar roofline bulges that in some eyes ruined the finished aesthetic of the EX90.

LLMs contain a LOT of parameters. They're the mysterious numbers that make your favorite AI models tick. What are they and what do they do? I am writing this because one of my editors woke up in the middle of the night and scribbled on a bedside notepad: "What is a parameter?" Unlike a lot of thoughts that hit at 4 a.m., it's a really good question--one that goes right to the heart of how large language models work. A large language model's parameters are often said to be the dials and levers that control how it behaves.