Africa
daff682411a64632e083b9d6665b1d30-Supplemental-Conference.pdf
Many high-dimensional statistical inference problems are believed to possess inherent computational hardness. Various frameworks have been proposed to give rigorous evidence for such hardness, including lower bounds against restricted models of computation (such as low-degree functions), as well as methods rooted in statistical physics that are based on free energy landscapes. This paper aims to make a rigorousconnectionbetween the seeminglydifferent low-degreeand free-energybased approaches. We define a free-energybasedcriterionfor hardnessand formallyconnectit to the well-establishednotionof low-degree hardness for a broad class of statistical problems, namely all Gaussian additive models and certain models with a sparse planted signal.
'At 2am, it feels like someone's there': why Nigerians are choosing chatbots to give them advice and therapy
AI platforms offering first-line mental health support have proliferated in Nigeria, where health services are sparse and underfunded. AI platforms offering first-line mental health support have proliferated in Nigeria, where health services are sparse and underfunded. 'At 2am, it feels like someone's there': why Nigerians are choosing chatbots to give them advice and therapy O n a quiet evening in her Abuja hotel, Joy Adeboye, 23, sits on her bed clutching her phone, her mind racing and chest tightening. On her screen is yet another abusive message from her stalker - a man she had met nine months earlier at her church. He had asked Adeboye out; when she declined, he began sending her intimidating, insulting and blackmailing messages on social media, as well as spreading false information about her online.