Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.
The race to release world models is on as AI image and video generation company Runway joins an increasing number of startups and Big Tech companies by launching its first one. Dubbed GWM-1, the model ...
From the earliest days of mainframe computing through the rise of client-server models, service-oriented and microservices architectures, and now today’s AI-driven systems, software architecture has ...
Nvidia said one of its most powerful AI servers, which enables 72 chips to work in unison, can boost the performance of some of the world’s top open-source artificial intelligence models by a factor ...
Could 2026 be the year of the beautiful back end? We explore the range of options for server-side JavaScript development, from Express to Next and all the rest. A grumpy Scrooge of a developer might ...
SAN FRANCISCO, Dec 3 (Reuters) - Nvidia (NVDA.O), opens new tab on Wednesday published new data showing that its latest artificial intelligence server can improve the performance of new models - ...
Imad is a senior reporter covering Google and internet culture. Hailing from Texas, Imad started his journalism career in 2013 and has amassed bylines with The New York Times, The Washington Post, ...
At the core of HUSKYLENS 2 lies its exceptional computation power, featuring a dual-core 1.6GHz CPU, 6 TOPS of AI performance, and 1GB of memory. All algorithms run directly on-device, ensuring ...
TAIPEI, Oct 29 (Reuters) - Foxconn (2317.TW), opens new tab, the world's largest electronics maker and Nvidia's (NVDA.O), opens new tab key AI server maker, said on Tuesday it will deploy humanoid ...
Abstract: Engineers have developed abstract network models to better understand the recurring problems faced by communication systems. This paper argues that these models can be generalized to ...
Abstract: Federated unlearning (FU) has become an important area of research due to an increasing need for federated learning (FL) applications to comply with emerging data privacy regulations such as ...
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