Clear, polished, and stimulating presentations are as important to the scientific profession as they are to business, yet most scientists never receive formal training in the creation, delivery, and evaluation of such material. Compelling science communication is essential for PIs who must publish in high-quality journals, solicit funding, attract lab personnel, and impress colleagues. Likewise, students and post-docs must effectively communicate scientific ideas in order to publish, receive fellowships, network, and advance their careers. In spite of these facts, the scientific publishing market lacks an adequately visual guide to the production of effective presentations. "Designing Science Presentations" fills that gap and provides visually intensive guidance at every step-from the construction of original figures to the presentation and delivery of those figures in papers, slideshows, posters, and websites. This book provides pragmatic advice on the preparation and delivery of exceptional scientific presentations; demonstrates hundreds of visually striking presentation techniques, giving readers inspiration for creating their own; and is structured so that readers do not need to read from cover to cover to find an answer to a particular question.
Clear heading for each section indicates its message, with graphic illustrations to highlight it1-2 summary paragraphs that complement the visual images and clearly discuss the main pointNumerous examples of high-quality figures, page layouts, slides, posters, and web pages to help stimulate readers' ideas for their own presentationsNumerous before and after examples so the reader can clearly see the contrast between poor and outstanding presentations

Could a computer have a mind? What kind of machine would this be? Exactly what do we mean by 'mind' anyway? The notion of the 'intelligent' machine, whilst continuing to feature in numerous entertaining and frightening fictions, has also been the focus of a serious and dedicated research tradition. Reflecting on these fictions, and on the research tradition that pursues 'Artificial Intelligence', raises a number of vexing philosophical issues. Minds and Computers introduces readers to these issues by offering an engaging, coherent, and highly approachable interdisciplinary introduction to the Philosophy of Artificial Intelligence. Readers are presented with introductory material from each of the disciplines which constitute Cognitive Science: Philosophy, Neuroscience, Psychology, Computer Science, and Linguistics. Throughout, readers are encouraged to consider the implications of this disparate and wide-ranging material for the possibility of developing machines with minds. And they can expect to develop a foundation for philosophically responsible engagement with A.I., a sound understanding of Philosophy of Mind and of computational theory, and a good feel for cross-disciplinary analysis. Features: *A solid foundation in the Philosophy of Mind *A broadly interdisciplinary purview *A directed philosophical focus *A clear and accessible explanation of technical material with abundant exercises *A glossary of terms