Leading researchers from academia, tech companies, focused research organizations and non-profits, start-ups, and venture capitalists and funders will explore current barriers to AI development and promising new directions for the field.
INASP is developing an open research learning hub in East Africa. It aims to help empower early-career researchers to harness the powerful tools of open science to address challenges facing their communities. Programs will be delivered predominantly through a digital platform, but will have specific focus on Kenya, Rwanda, Tanzania, and Uganda.
A major barrier to climate change mitigation is the political polarization of climate change beliefs. In a global experiment conducted in 60 countries, the differential impact of eleven climate interventions across the ideological divide is assessed.
Recurrent neural networks are used to forecast time series in finance, climate, language, and from many other domains. Reservoir computers are a particularly easily trainable form of recurrent neural network. Recently, a “next-generation” reservoir computer was introduced in which the memory trace involves only a finite number of previous symbols. The inherent limitations of finite-past memory traces are explored in this proposal.
The hypothesis explored is that collective intelligence is not only the province of groups of animals, and that an important symmetry exists between the behavioral science of swarms and the competencies of cells and other biological systems at different scales. The implications of this approach are outlined, as is the possible impact of tools from the field of diverse intelligence for regenerative medicine and synthetic bioengineering.
Humans frequently interact with agents whose intentions can fluctuate between competition and cooperation over time. It is unclear how the brain adapts to fluctuating intentions of others when the nature of the interactions (to cooperate or compete) is not explicitly and truthfully signaled. Here, model-based fMRI and a task in which participants thought they were playing with another player are used.
Self-oscillations are the result of an efficient mechanism generating periodic motion from a constant power source. In quantum devices, these oscillations may arise due to the interaction between single electron dynamics and mechanical motion. This research shows that, due to the complexity of this mechanism, these self-oscillations may irrupt, vanish, or exhibit a bistable behavior causing hysteresis cycles.