Industry
Firewire Surfboard Review (2026): Neutrino, Revo Max, Machadocado
Firewire makes the most innovative surfboards in the industry. This winter, I tried the Neutrino, Machado, and Revo Max to see if they're worth the hype. For decades, the process of making a surfboard has more or less been the same: Cut a piece of foam. Put a wooden stringer down the middle to provide structure and strength. Shape it, then wrap it in fiberglass, sand it, and leave holes for the leash and fins. That was until Firewire Surfboards came along.
A Clarinetist, a High School Student, and Some Climate Deniers Write a Science Paper
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Machine learning framework to predict global imperilment status of freshwater fish
Researchers spent five years developing an AI-based model to protect freshwater fish worldwide from extinction, with a particular focus on identifying threats to fish before they become endangered. "People sometimes go in to protect species when it's already too late," said Ivan Arismendi, an associate professor in Oregon State University's Department of Fisheries, Wildlife, and Conservation Sciences. "With our model, decision makers can deploy resources in advance before a species becomes imperiled." The findings were recently published in the journal Nature Communications. Nearly one-third of freshwater fish species face possible extinction, threatening food supplies, ecosystems and outdoor recreation.
TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices
The increased adoption of Internet of Things (IoT) devices has led to the generation of large data streams with applications in healthcare, sustainability, and robotics. In some cases, deep neural networks have been deployed directly on these resource-constrained units to limit communication overhead, increase efficiency and privacy, and enable real-time applications. However, a common challenge in this setting is the continuous adaptation of models necessary to accommodate changing environments, i.e., data distribution shifts. Test-time adaptation (TTA) has emerged as one potential solution, but its validity has yet to be explored in resource-constrained hardware settings, such as those involving microcontroller units (MCUs). TTA on constrained devices generally suffers from i) memory overhead due to the full backpropagation of a large pre-trained network, ii) lack of support for normalization layers on MCUs, and iii) either memory exhaustion with large batch sizes required for updating or poor performance with small batch sizes. In this paper, we propose TinyTTA, to enable, for the first time, efficient TTA on constrained devices with limited memory. To address the limited memory constraints, we introduce a novel self-ensemble and batch-agnostic early-exit strategy for TTA, which enables continuous adaptation with small batch sizes for reduced memory usage, handles distribution shifts, and improves latency efficiency. Moreover, we develop the TinyTTA Engine, a first-of-its-kind MCU library that enables on-device TTA.
Resident Evil at 30: how Capcom's horror opus has survived
Flourishing Resident Evil Requiem introduces FBI agent Grace Ashcroft. Flourishing Resident Evil Requiem introduces FBI agent Grace Ashcroft. Resident Evil at 30: how Capcom's horror opus has survived and thrived T o many of us playing and writing about video games in the 1990s, Resident Evil seemed to come out of nowhere. The emerging PlayStation and Saturn consoles were all about slick, bright arcade conversions - the shiny thrills of Daytona and Tekken - and Japanese publisher Capcom was in a rut of coin-op conversions and endless sequels to Street Fighter and Mega Man. Scary games were rare at the time and mostly confined to the PC. So when the news of a horror title named Biohazard (the Japanese name for the series) started to emerge in 1995, it caught the attention of games journalists as it seemed radically out of step with prevailing trends.