Lifeboat Foundation

“The singularity for this level of the simulation is coming soon,” Musk replied to a tweet by the official Twitter account of the television show Rick and Morty in 2017. “I wonder what the levels above us look like.”

READ MORE: Elon Musk Reveals the One Question He Would Ask a Human-Level A.I. [Inverse]

More on the simulation hypothesis: MIT Prof: It’s More Likely We’re Living in a Simulation Than Not.

Continue reading “Elon Musk’s Question for Super-Smart AI: What’s Outside the Simulation?” »

Lidar, the radar-style detection system which works by bouncing laser light, is most commonly associated with self-driving cars. However, it may have another useful, albeit morbid, application: Helping find bodies which have been buried in unmarked graves.

Sound like something out of an episode of CSI? In fact, it’s a new piece of research coming out of Tennessee’s Oak Ridge National Laboratory, where scientists have been investigating how lidar could be used a forensics tool to find missing murder victims — potentially even from an aircraft.

“Missing persons investigations pose a significant societal challenge, as well as a time-sensitive technological challenge,” Dr. Katie Corcoran, one of the researchers on the project, told Digital Trends. “Of the millions of missing persons worldwide who are unaccounted for, some are thought to be deceased and buried in unmarked graves. A gravesite can go unnoticed because of natural processes, where the site becomes covered with grass or leaves, for instance. Or the site could have been deliberately masked by a perpetrator trying to hide the body. In either case, the longer the gravesite goes unnoticed, the more difficult it is to locate.”

Continue reading “Self-Driving Car Tech Will Help Forensic Scientists Find Murder Victims” »

Humanity could be on the verge of an unprecedented merging of human biology with advanced technology, fusing our thoughts and knowledge directly with the cloud in real-time – and this incredible turning point may be just decades away, scientists say.

In a new research paper exploring what they call the ‘human brain/cloud interface’, scientists explain the technological underpinnings of what such a future system might be, and also address the barriers we’ll need to address before this sci-fi dream becomes reality.

At its core, the brain/cloud interface (B/CI) is likely to be made possible by imminent advances in the field of nanorobotics, proposes the team led by senior author and nanotechnology researcher Robert Freitas Jr from the Institute for Molecular Manufacturing in California.

Continue reading “We Are Closer Than Ever to Merging Human Brains With The Cloud” »

News-Medical speaks to David Dambman from Biosero about the emerging importance of automation in scientific research and how a centralized scheduling software is an essential first step for any laboratory looking to automate their workflow.

Why has automation become so critical to advancing scientific research?

There are many reasons why automation is useful in scientific research. First and foremost, automation is about being able to walk away from your experiments and spend time analyzing your results, rather than carrying out mundane tasks such as transferring liquids from one plate to another.

Continue reading “Automation in Scientific Research – Step 1: Invest in Scheduling Software” »

Training bigger neural networks can be challenging when faced with accelerator memory limits. The size of the datasets being used by machine learning models is very large nowadays. For example, a standard image classification datasets like hashtagged Instagram contains millions of images. With the increasing quality of the images, the memory required will also increase. Today, the memory available on NVIDIA GPUs is only 32 GB.

Therefore, there needs to be a tradeoff between memory allocated for the features in a model and how the network gets activated. It is only understandable why the accelerator memory limit needs to be breached.

Continue reading “Reaching Into The Parallel Universe With Intel’s Xeon Processor” »

Intel and others are investing $13 million in Untether AI, a startup that’s working on a novel type of chip for artificial intelligence that promises to perform neural-network calculations at warp speed.

Speedup: Untether, based in Toronto, Canada, has already developed a prototype device that transfers data between different parts of the chip 1,000 times more quickly than a conventional AI chip. That’s an impressive achievement, but it should be treated cautiously since the prototype is far larger than an actual chip—and because other factors will contribute to the overall performance of the finished device.

Bottleneck: One of the key challenges with modern chips is shuttling data from memory to the units used to perform logical operations. This is especially problematic as the amount of data that chips need to process increases, as is the case with AI applications such as face or voice recognition. Untether uses what’s known as “near-memory computing” to reduce the physical distance between memory and the processing tasks, which speeds up data transfer and lowers power consumption.

Continue reading “Intel buys into an AI chip that can transfer data 1,000 times faster” »

Qualcomm said it plans to begin testing its new Cloud AI 100 chip with partners such as Microsoft Corp later this year, with mass production likely to begin in 2020.

Qualcomm’s new chip is designed for what artificial intelligence researchers call “inference” – the process of using an AI algorithm that has been “trained” with massive amounts of data in order to, for example, translate audio into text-based requests.

Analysts believe chips for speeding up inference will be the largest part of the AI chip market.

Continue reading “Qualcomm Aims for Quantum AI Chips” »

Step aside, reindeer — robot dogs are hauling this load.

In an ominous video titled “Mush, Spot Mush!” posted on YouTube Tuesday, robot maker Boston Dynamics showed off the sheer strength of its SpotMini quadripedal robot dog. The clip shows 10 specialized Spotmini derivatives called Spotpower hauling a box truck across a parking lot — and at a one degree incline.

Continue reading “Watch a Pack of Boston Dynamics’ Creepy Robot Dogs Pull a Truck” »

It’s like Ultimate Frisbee meets Quidditch.