A new study argues that the prevalence of autism in human populations may reflect an evolutionary trade-off embedded within our genetic heritage. Researchers say that rapid changes in certain brain ...

This week, “At the Edge of It All” was joined by James Fabionar, associate professor of teacher education, who discussed the nuances of ethnic studies. He talked about his background, coming from a ...

Generative AI is changing the way enterprises think about technology infrastructure. Global market intelligence firm International Data Corporation’s (IDC) report titled ‘The Edge Evolution: Powering ...

The AI TOP Ecosystem combines scalable hardware with the AI TOP Utility software, now supporting advanced architectures like Mixture of Experts (MoE). This unified solution, including AI TOP 100 and ...

Nearly 80% of Chief Information Officers (CIOs) in the Asia–Pacific region are expected to adopt edge services from cloud providers by 2027 to meet the performance and compliance needs of generative ...

As generative AI becomes essential to business operations, companies are rethinking infrastructure models, according to a new IDC research paper commissioned by Akamai. According to the research paper ...

Clash Royale's meta has significantly shifted due to the introduction of Evolution cards, demanding players master top-tier options for an edge. Evo P.E.K.K.A excels with enhanced survivability, while ...

The authors note that Fig. 2C appeared incorrectly: The site of prohormone processing of proinsulin to insulin should be in the trans-Golgi insulin vesicles and not in the Golgi apparatus as depicted.

Diesel truck enthusiasts want more than just raw power—they seek smarter solutions that provide both control and convenience. The current trend focuses on boosting engine output while ensuring ...

Scientists at MIT have turbocharged one of nature’s most sluggish but essential enzymes—rubisco—by applying a cutting-edge evolution technique in living cells. Normally prone to wasteful reactions ...

Abstract: System capacity is an important metric for evaluating the performance of edge-caching networks. In most previous studies, the caching content was assumed to remain unchanged in a base ...