Federated learning at the edge may out-compete the cloud on privacy, speed and cost
How federated learning at the edge can improve latency, reduce network calls, drive efficiency, improve model accuracy and promote privacy.Read More
6 Best Organic Mattresses and Toppers (2023): Nontoxic, Natural
These nontoxic beds are easier on the environment and your health—and they’re also incredibly comfortable.
We have ChatGPT. Here’s what it will take to get to ‘InvestmentGPT’
AGI and mathematics-derived ML will eventually support accurate investment advice. Until then, let’s stick with what ChatGPT is good at.Read More
9 Best Speakers for Kids: Smart, Bluetooth, and Offline Speakers
Play music, audiobooks, and more for your children with one of these WIRED-tested gadgets.
ChatGPT and ethical decision making: It’s not what can be done, but what should
Why we must address the many potential ethical and regulatory considerations of ChatGPT and other advanced AI tools.Read More
‘Cocaine Bear’ Is a Buzz Kill
The movie seems destined for internet infamy but doesn’t live up to the promise of its viral trailer.
Wearable in-sensor reservoir computing for multitask learning via material-algorithm co-design strategy
The human retina not only senses light signals, but also processes them simultaneously by capturing their rich dynamics, thus accelerating the task-dependent learning in the down-stream visual cortex. This synergy of both the retina and the visual cortex has inspired in-sensor multi-task learning.
The Marvel Movies From Worst to Best—and Where to Stream Them
Here’s our definitive ranking of all 31 films (and counting) in the Marvel Cinematic Universe.
How generative AI is changing game development (and UGC)
Generative AI is iterating on existing uses of AI in game development and content creation. But how much should it be used for?Read More
Alternate framework for distributed computing tames Big Data’s ever growing costs
The sheer volume of ‘Big Data’ produced today by various sectors is beginning to overwhelm even the extremely efficient computational techniques developed to sift through all that information. But a new computational framework based on random sampling looks set to finally tame Big Data’s ever-growing communication, memory and energy costs into something more manageable.