Lifeboat Foundation

Robotics specialist German Bionic is to present the first connected robot exoskeleton for use with the industrial internet of things, at the Hannover Messe industrial technology show.

The German Bionic IO cloud platform connects the third generation of the Cray X exoskeleton with all common enterprise solutions and networked manufacturing systems, enabling complete integration into “smart factory” and Industry 4.0 environments.

Besides cloud services such as wireless software updates – over the air – and predictive maintenance, German Bionic IO facilitates the continuous optimization of the intelligent control system through machine learning and lays the data-scientific foundation for the next development stages of bionics.

Continue reading “German Bionic to present its first robot exoskeleton for industrial IoT” »

Yara International, a crop nutrition company, and IBM, have signed an agreement to build the world’s leading digital farming platform, providing holistic digital services and instant agronomic advice.

Yara and IBM Services will jointly innovate and commercialize digital agricultural solutions that will help increase global food production by drawing on the two companies’ complementary capabilities.

Yara’s agronomic knowledge, backed by more than 800 agronomists and a century of experience, and IBM’s digital platforms, services, and expertise in artificial intelligence and data analytics.

Continue reading “Yara and IBM join forces to transform the future of farming” »

Abstract: DeepMind Lab is a first-person 3D game platform designed for research and development of general artificial intelligence and machine learning systems. DeepMind Lab can be used to study how autonomous artificial agents may learn complex tasks in large, partially observed, and visually diverse worlds. DeepMind Lab has a simple and flexible API enabling creative task-designs and novel AI-designs to be explored and quickly iterated upon. It is powered by a fast and widely recognised game engine, and tailored for effective use by the research community.

We’re committed to accelerating scientific progress for the benefit of society. One way we do this is through releasing open source materials, to contribute to the AI community’s culture of collaboration and shared progress.

Along with publishing papers to accompany research conducted at DeepMind, we release open source environments, data sets, and code to enable the broader research community to engage with our work and build upon it. For example, you can build on our implementations of the Deep Q-Network or Differential Neural Computer, or experiment in the same environments we use for our research, such as DeepMind Lab or StarCraft II.

Our open source contributions can be viewed on our site and on GitHub.

Circa 2018 Essentially automating the whole system is basically the only way to solve the trillions upon trillions of problems because when we digitize everything 80 billion years of problems can be solved sometimes in seconds.

Rice University researchers created a deep learning, software coding application called BAYOU that can help human programmers work with APIs.

Circa 2017

Do we really have nothing to fear?

Right now Chandra is studying a cluster of stars in Camelopardalis! Nearby in the sky is planetary nebula NGC 1501. The progenitor star seen in the center of this nebula looks like a shimmering pearl inside of a glowing shell to some, inspiring the nickname the Oyster Nebula!

Scientists have discovered a new method for quickly and efficiently mapping the vast network of connections among neurons in the brain.

Researchers combined infrared laser stimulation techniques with functional magnetic resonance imaging in animals to generate mapping of connections throughout the brain. The technique was described in a study published in the journal Science Advances.

“This is a revolution in detecting connections in the brain,” said senior author Anna Wang Roe, Ph.D., a professor in the Division of Neuroscience at OHSU’s Oregon National Primate Research Center. “The ability to easily map connections in the living brain with high precision opens doors for other applications in medicine and engineering.”

Red and blue lights flash. A machine whirs like a distant swarm of bees. In a cubicle-sized room, Yoav Adam, a microscope, and a video projector capture something no one has ever seen before: neurons flashing in real time, in a walking, living creature.

For decades scientists have been searching for a way to watch a live broadcast of the brain. Neurons send and receive massive amounts of information—Toe itches! Fire hot! Garbage smells!—with impressive speed. Electrical signals can travel from cell to cell at up to 270 miles per hour.

But, neural electricity is just as hard to see as electricity in a telephone wire: To the unassisted eye, the busy brain looks as lifeless as rubber. So, to observe how neurons turn information (toe itches) into thoughts (“itching powder”), behaviors (scratching), and emotions (anger), we need to change the way we see.

Continue reading “How live recordings of neural electricity could revolutionize how we see the brain” »