With every passing day, it seems like it is getting harder to trust what you see—and hear—on the internet. Deepfakes and doctored audio have become easier to create with the press of a button. New research by three School of Information students and alums will make it easy to determine the authenticity of an audio clip.With every passing day, it seems like it is getting harder to trust what you see—and hear—on the internet. Deepfakes and doctored audio have become easier to create with the press of a button. New research by three School of Information students and alums will make it easy to determine the authenticity of an audio clip.Security[#item_full_content]

Researchers led by Prof. Wang Rujing from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences developed a simple and effective multi-scale feature modulation network for underwater image enhancement.Researchers led by Prof. Wang Rujing from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences developed a simple and effective multi-scale feature modulation network for underwater image enhancement.[#item_full_content]

Researchers led by Prof. Wang Rujing from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences developed a simple and effective multi-scale feature modulation network for underwater image enhancement.Researchers led by Prof. Wang Rujing from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences developed a simple and effective multi-scale feature modulation network for underwater image enhancement.Computer Sciences[#item_full_content]

Compared to robots, human bodies are flexible, capable of fine movements, and can convert energy efficiently into movement. Drawing inspiration from human gait, researchers from Japan crafted a two-legged biohybrid robot by combining muscle tissues and artificial materials. Published on January 26 in the journal Matter, this method allows the robot to walk and pivot.Compared to robots, human bodies are flexible, capable of fine movements, and can convert energy efficiently into movement. Drawing inspiration from human gait, researchers from Japan crafted a two-legged biohybrid robot by combining muscle tissues and artificial materials. Published on January 26 in the journal Matter, this method allows the robot to walk and pivot.[#item_full_content]

The militant Islamic State group, or ISIS, lost its physical territory in 2019, but it remains an active force on social media, according to researchers from the Penn State College of Information Sciences and Technology, who set out to better understand the group’s online strategies.The militant Islamic State group, or ISIS, lost its physical territory in 2019, but it remains an active force on social media, according to researchers from the Penn State College of Information Sciences and Technology, who set out to better understand the group’s online strategies.Security[#item_full_content]

A team of AI researchers at Google Research has developed a next-generation AI-based text-to-video generator called Lumiere. The group has published a paper describing their efforts on the arXiv preprint server.A team of AI researchers at Google Research has developed a next-generation AI-based text-to-video generator called Lumiere. The group has published a paper describing their efforts on the arXiv preprint server.[#item_full_content]

A team of AI researchers at Google Research has developed a next-generation AI-based text-to-video generator called Lumiere. The group has published a paper describing their efforts on the arXiv preprint server.A team of AI researchers at Google Research has developed a next-generation AI-based text-to-video generator called Lumiere. The group has published a paper describing their efforts on the arXiv preprint server.Computer Sciences[#item_full_content]

Current artificial intelligence models utilize billions of trainable parameters to achieve challenging tasks. However, this large number of parameters comes with a hefty cost. Training and deploying these huge models require immense memory space and computing capability that can only be provided by hangar-sized data centers in processes that consume energy equivalent to the electricity needs of midsized cities.Current artificial intelligence models utilize billions of trainable parameters to achieve challenging tasks. However, this large number of parameters comes with a hefty cost. Training and deploying these huge models require immense memory space and computing capability that can only be provided by hangar-sized data centers in processes that consume energy equivalent to the electricity needs of midsized cities.Machine learning & AI[#item_full_content]

A team in Turkey has tested different machine-learning algorithms for predicting electricity demand from different sources. They trained the algorithms on electricity demand data for the period 2000–2022 and used them to successfully make predictions for 2023 with differing degrees of accuracy.A team in Turkey has tested different machine-learning algorithms for predicting electricity demand from different sources. They trained the algorithms on electricity demand data for the period 2000–2022 and used them to successfully make predictions for 2023 with differing degrees of accuracy.Energy & Green Tech[#item_full_content]

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