Western intelligence services are raising alarms about Cyclops Blink, the latest tool at the notorious group’s disposal.
Chinese researchers have reportedly developed artificial intelligence (AI) that can read the minds of Chinese Communist Party (CCP) officials.
A video report detailed the software’s features and attributed it to the Hefei Comprehensive National Science Center, a relatively new institute focused on health and environment, energy research, information management and artificial intelligence.
The technology essentially tests one’s level of loyalty to the CCP. According to the center, it would “further solidify their [members’] confidence and determination to be grateful to the party, listen to the party and follow the party.”
In an illuminating study, Rentschler et al. leverage data to analyze populations at risk of flood exposure. They explore the overlap between poverty, geography, and flood risk while taking into account pluvial, fluvial, and coastal flooding. Their work reveals that hundreds of millions of people in low-income regions are directly exposed to flood risk. The authors emphasize that efforts towards global flood mitigation should take socioeconomic factors into account since many low-income regions have both high flood risk and poor existing flood mitigation measures in place.
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Floods are most devastating for those who can least afford to be hit. Globally, 1.8 billion people face high flood risks; 89% of them live in developing countries; 170 million of them live in extreme poverty making them most vulnerable.
The motion of a tiny number of charged particles may solve a longstanding mystery about thin gas disks rotating around young stars, according to a new study from Caltech.
These features, called accretion disks, last tens of millions of years and are an early phase of solar system evolution. They contain a small fraction of the mass of the star around which they swirl; imagine a Saturn-like ring as big as the solar system. They are called accretion disks because the gas in these disks spirals slowly inward toward the star.
Graphcore and Korea’s Electronics and Telecommunications Research Institute (ETRI) have entered a multi-year partnership to develop new software approaches for high-efficiency AI compute.
Running from 2022 through 2025 and funded by the Korean government, the partnership will combine the world-leading capabilities of ETRI—Korea’s largest public research institute by R&D expenditure and license income—with Graphcore’s proven leadership in developing and commercialising efficient, high-performance compute systems for machine intelligence.
At least 750,000 entries containing Chinese citizens’ personal information were stolen and sold online by an unknown hacker.
A new analysis of observed temperatures shows the Arctic is heating up more than four times faster than the rate of global warming. The trend has stepped upward steeply twice in the last 50 years, a finding missed by all but four of 39 climate models.
Experiments in mice show that direct-and indirect-pathway neurons in the basal ganglia are co-activated during movement but exhibit opposite patterns of activity during the active suppression of movement.
High-resolution volumetric calcium imaging was used to create a functional atlas of the Drosophila melanogaster ventral brain and identify how and where metabolic and reproductive states alter processing of food-related sensory stimuli.
“We just open-sourced an AI model we built that can translate across 200 different languages — many which aren’t supported by current translation systems,” he said. “We call this project No Language Left Behind, and the AI modeling techniques we used from NLLB are helping us make high quality translations on Facebook and Instagram for languages spoken by billions of people around the world.”
Meta invests heavily in AI research, with hubs of scientists across the globe building realistic avatars for use in virtual worlds and tools to reduce hate speech across its platforms 0, among many other weird and wonderful things. This investment allows the company to ensure it stays at the cutting edge of innovation by working with the top AI researchers, while also maintaining a link with the wider research community by open-sourcing projects such as No Languages Left Behind.
The major challenge in creating a translation model that will work across rarer languages is that the researchers have a much smaller pool of data — in this case examples of sentences — to train the model versus, say, English. In many cases, they had to find people who spoke those languages to help them provide the data, and then check that the translations were correct.
