Pascal BORNETLeader, Artificial Intelligence and Automation at McKinsey & Company.
(99+) Pascal BORNET
Posted in robotics/AI
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 current funding round follows $10M in early stage private funding as well as $15M of public funding from the National Institutes of Health (NIH) and the Department of Defense (DARPA).
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
Like my colleague David Seed, who has studied how fiction impacts on real-life threat assumptions about nuclear terrorism, I’m interested in how science fiction informs our sense of the future. This has given me the opportunity to work with members of the armed forces, using science fiction to query assumptions and generate novel visions of the future.
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!
Today, we published “Open-Ended Learning Leads to Generally Capable Agents,” a preprint detailing our first steps to train an agent capable of playing many different games without needing human interaction data. … The result is an agent with the ability to succeed at a wide spectrum of tasks — from simple object-finding problems to complex games like hide and seek and capture the flag, which were not encountered during training. We find the agent exhibits general, heuristic behaviours such as experimentation, behaviours that are widely applicable to many tasks rather than specialised to an individual task.
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.
Before they explore Mars, the robots explore Martian-like caves on Earth first.
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.
Elon Musk recently hinted at a very welcome and simple update for Tesla’s vehicles, especially those which have already replaced their 12-volt batteries in the past. According to the CEO, Tesla would be looking into the idea of equipping older vehicles with a 12-volt lithium-ion battery, similar to the Model S Plaid.
Musk’s update came as a response to Tesla owner Rich Teer, who inquired if it was possible to have the company’s older vehicles be equipped with the company’s newer 12-volt lithium-ion battery. This was a good point considering that the conventional 12-volt lead-acid battery used in vehicles like the Model 3 and Model Y tend to get discharged, in some cases, multiple times per year.
In his response, Musk stated that Tesla would try to roll out such an initiative, especially as it would be beneficial for the company’s cars. A 12-volt lithium-ion battery would last far longer than a conventional lead-acid battery, after all, and according to Musk, Tesla’s goal is to reduce service in its vehicles anyway. “Unlike other makers of cars, our goal is *not* to profit from service. Best service is not needing service in the first place,” Musk noted.