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"Gedrucktes Essen: Algen, Gras und Insekten als Nährstofflieferanten Bis jetzt ist es nicht viel mehr als ein interessantes Konzept, aber der Nasa ist es immerhin 125.000 Dollar wert. So viel investiert die amerikanische Raumfahrtbehörde in die Entwicklung eines 3-D-Druckers für Lebensmittel. Dabei geht es weniger um die Realisierung von Science-Fiction-Visionen wie dem Replikator aus "Star Trek". Vielmehr stellt sich mit Blick auf künftig geplante Langzeitmissionen zum Mars die Frage nach der Lebensmittelversorgung der Astronauten. Der Entwurf des Nasa-Partners Systems & Materials Research Corporation (SMRC) sieht dabei vor, dass ein 3-D-Drucker die verschiedenen Bestandteile menschlicher Ernährung in pulverisierter, lagerfähiger Form verarbeitet. Zucker, Proteine und Kohlenhydrate würden dann je nach zuvor vom Computer geladenen "Rezept" zusammengestellt und tellerfertig produziert. Die ersten Entwürfe für das Astronautenessen der Zukunft sehen allerdings noch etwas fremdartig aus und erinnern ein wenig an Hundekuchen. Hinter SMRC steht Anjan Contractor, ein Ingenieur mit einiger Erfahrung im Bereich des dreidimensionalen Druckens. In den kommenden Wochen will er sich zunächst an die Umsetzung eines vergleichsweise einfachen Rezepts machen und mit einem 3-D-Drucker eine Pizza herstelle"

On top of our platform we have developed new sophisticated statistical models and machine learning algorithms for a wide range of applications including product targeting, market segmentation, community detection, network security, text analysis, and computer vision. These models enable our customers extract more value from their data and better understand and respond to a rapidly evolving world.

Science On a Sphere® (SOS) is a room sized, global display system that uses computers and video projectors to display planetary data onto a six foot diameter sphere, analogous to a giant animated globe. Researchers at NOAA developed Science On a Sphere® as an educational tool to help illustrate Earth System science to people of all ages.

"The press had a tendency to consistently overestimate [biohackers'] capabilities and underestimate our ethics. We have personal computing, why not personal biotech? That's the question biologist Ellen Jorgensen and her colleagues asked themselves before opening Genspace, a nonprofit DIYbio lab in Brooklyn devoted to citizen science, where amateurs can go and tinker with biotechnology. Far from being a sinister Frankenstein's lab (as some imagined it), Genspace offers a long list of fun, creative and practical uses for DIYbio. Ellen Jorgensen is at the leading edge of the do-it-yourself biotechnology movement, which brings scientific exploration and understanding to the masses"

"I visit a lot of molecular biology labs, and most of them look pretty much identical: lab benches, microscopes, computers, messy break rooms, big filing cabinets crammed into every free corner. When you look closely, though, every lab has its own flavor, its own culture. This is the first post of what I hope will be a fun, photo-heavy series on the culture of different labs. Florian Engert's lab at Harvard is large, colorful, and messy."

The goal of the Parallella project is to democratize access to parallel computing through providing an affordable open hardware platform and open source tools, and supporting learning and the development of software which is able to harness the power of parallel systems.

TypeScript is a language for application-scale JavaScript development. TypeScript is a typed superset of JavaScript that compiles to plain JavaScript. Any browser. Any host. Any OS. Open Source.

"The ArticuLab's mission is to study human interaction in social and cultural contexts as the input into computational systems that in turn help us to better understand human interaction, and to improve and support human capabilities in areas that really matter."

"Introducing A.I. Experiments. Explore machine learning by playing with pictures, language, music, code, and more."

"Open source, interactive data science and scientific computing across over 40 programming languages."

The Rhizomik initiative is inspired by the rhizome metaphor when working with knowledge from a scientific, technological but also philosophical point of view. This metaphor has accompanied us in our research about knowledge in many different fields, fundamentally Semantic Web, Human-Computer Interaction, Web Science, Complex Systems and Cognitive Science.

The NeuroCommons project seeks to make all scientific research materials - research articles, knowledge bases, research data, physical materials - as available and as usable as they can be. We do this by fostering practices that render information in a form that promotes uniform access by computational agents - sometimes called "interoperability". We want knowledge sources to combine easily and meaningfully, enabling semantically precise queries that span multiple information sources.

The goal of this project is the development of cognitive non-computational structure close to those of human brain. In fact - this is an attempt to create an artificial brain.

OPEN SOURCE COMPUTATIONAL JOURNALISM TOOLS

The Faculty Project brings academia's most outstanding professors to the computers, tablets and smartphones of people all over the world.

The EconCS Group pursues research, both theoretical and experimental, at the intersection between computer science and economics.

How can a computer accumulate a massive body of knowledge? What will Web search engines look like in ten years?

SETILive is taking the Search for Extraterrestrial Intelligence (SETI) directly to you by presenting radio frequency signals LIVE from the SETI Institute's Allen Telescope Array (ATA) while it's pointed at stars that, based on Kepler exoplanet discoveries, have the best chances of being home to an alien civilization. We'll also be putting you "in the loop" where if enough of you see a potential extraterrestrial (ET) signal in the same data, then within minutes, the ATA will be interrupted and sent back to take a second look. The data you see will be from frequencies where human-made Radio Frequency Interference (RFI) crowds them and we believe the human eye will have a better chance than SETI's computer algorithms to find ET signals there.

KSL conducts research in the areas of knowledge representation and automated reasoning in the Artificial Intelligence Laboratory of the Department of Computer Science at Stanford University. Current work focuses on enabling technology for the Semantic Web, hybrid reasoning, explaining answers from heterogeneous applications, deductive question-answering, representing and reasoning with multiple contexts, knowledge aggregation, ontology engineering, and knowledge-based technology for intelligence analysts and other knowledge workers.