A reverse genetics approach determined that seven genes are required together for normal cell division in a genomically minimal cell; these include two known cell division genes, ftsZ and sepF, a hydrolase of unknown substrate, and four genes that encode membrane-associated proteins of unknown function.
Thrilled to see Paradromics’ $20M fund raise lead by the talented Dr. Amy Kruse! Paradromics is building a brain computer interface supported by DARPA’s Biologi… See More.
The investment demonstrates confidence in Paradromics as a well-positioned player in the $200 billion BCI therapy market. Last year, Paradromics successfully completed testing of its platform, demonstrating the largest ever electrical recording of cortical activity that exceeded more than 30000 electrode channels in sheep cortex. This recording allowed researchers to observe the brain activity of sheep in response to sound stimuli with high fidelity.
“We are combining the best of neural science and medical device engineering to create a robust and reliable platform for new clinical therapies,” said Paradromics CEO Matt Angle. “This funding round is a validation of both our technology and strategic vision in leading this important developing market.”
The Sanctuary GPR-1 is a general purpose robot designed for tasks requiring human level intelligence and manual dexterity.
A team of scientists will embark on a new international research project led by Harvard University to search for evidence of extraterrestrial life by looking for advanced technology it may leave behind.
The Galileo Project is led by the Harvard astronomy professor Avi Loeb co-founded the project with Frank Laukien, CEO of Bruker Corporation, a Massachusetts-based manufacturer of scientific equipment.
But while science fiction provides military planners with a tantalizing glimpse of future weaponry, from exoskeletons to mind-machine interfaces, the genre is always about more than flashy new gadgets. It’s about anticipating the unforeseen ways in which these technologies could affect humans and society – and this extra context is often overlooked by the officials deciding which technologies to invest in for future conflicts.
Imagined worlds
Continue reading “Militaries are plundering sci-fi for technology ideas” »
I’ve been suggesting for a long time to drop these Ai’s into open world games.
EDIT: Also see paper and results compilation video!
Continue reading “DeepMind: Generally capable agents emerge from open-ended play” »
What i would suggest is landing Atlas robots in waves on the Moon, the first wave builds a solar panel farm for power, the second repairs the first wave, the third joins the first two to begin building large scale runways, the fourth joins the first three to begin building permanent structures.
The Moon is close enough for teleoperations, and in the 2030s, when we actually do Mars, the AI could repeat the whole thing there.
Continue reading “Robots are making progress on space exploration, along with billionaires” »
Although effective uncertainty estimation can be a key consideration in the development of safe and fair artificial intelligence systems, most of today’s large-scale deep learning applications are lacking in this regard.
To accelerate research in this field, a team from DeepMind has proposed epistemic neural networks (ENNs) as an interface for uncertainty modelling in deep learning, and the KL divergence from a target distribution as a precise metric to evaluate ENNs. In the paper Epistemic Neural Networks, the team also introduces a computational testbed based on inference in a neural network Gaussian process, and validates that the proposed ENNs can improve performance in terms of statistical quality and computational cost.
The researchers say all existing approaches to uncertainty modelling in deep learning can be expressed as ENNs, presenting a new perspective on the potential of neural networks as computational tools for approximate posterior inference.
A first-of-its-kind 3D-printed concrete bridge has been unveiled in Venice, Italy. The bridge is a demonstration of a new 3D printing method resulting in a structure requiring no mortar or steel reinforcement.
The bridge was developed as part of a collaboration between ETH Zurich and Zaha Hadid Architects’ Computation and Design Group. The unreinforced structure was created by 3D-printing concrete blocks using a novel type of concrete ink produced by a company called Holcim.
“This precise method of 3D concrete printing allows us to combine the principles of traditional vaulted construction with digital concrete fabrication to use material only where it is structurally necessary without producing waste,” explains Philippe Block, a researcher from ETH Zurich.
