Lifeboat Foundation

Rice University computer scientists have demonstrated artificial intelligence (AI) software that runs on commodity processors and trains deep neural networks 15 times faster than platforms based on graphics processors.

“The cost of training is the actual bottleneck in AI,” said Anshumali Shrivastava, an assistant professor of computer science at Rice’s Brown School of Engineering. “Companies are spending millions of dollars a week just to train and fine-tune their AI workloads.”

Shrivastava and collaborators from Rice and Intel will present research that addresses that bottleneck April 8 at the machine learning systems conference MLSys.

Automated matchmakers do what no human can.

Slick, viral videos from Boston Dynamics are impressive but teaching a robot to walk by itself is a lot harder.

Three years of underground robotics competitions culminate in a final event in September with $5 million in prize money.

The DARPA Subterranean Challenge Final Event is scheduled to take place at the Louisville Mega Cavern in Louisville, Kentucky, from September 21 to 23. We’ve followed SubT teams as they’ve explored their way through abandoned mines, unfinished nuclear reactors, and a variety of caves, and now everything comes together in one final course where the winner of the Systems Track will take home the $2 million first prize.

It’s a fitting reward for teams that have been solving some of the hardest problems in robotics, but winning isn’t going to be easy, and we’ll talk with SubT Program Manager Tim Chung about what we have to look forward to.

Continue reading “DARPA Prepares for the Subterranean Challenge Final” »

The new AI tool, developed by researchers at Stanford and Genenetech, runs simulated clinical trials using different eligibility criteria.

Like something straight out of a pulpy sci-fi horror flick, researchers at Tufts University and the University of Vermont (UVM) have engineered a new generation of living robots they call Xenobots, which demonstrate cooperative swarm activity while collecting piles of micro particles.

Last year, this same team of scientists and biologists created tiny self-healing bio-machines that exhibited movement, payload pushing abilities, and a sort of hive mentality. The blueprints for creating these biological bots, which technically aren’t a typical robot or a catalogued animal species, but instead are more akin to a distinct class of unique artifact that acts as a living, programmable organism.

Bay Area-based Rapid Robotics today announced a $12 million Series A. The new round, led by NEA, brings the company’s total funding up to $17.5 million. It joins a recently closed seed round, announced way back in November of last year. Existing investors Greycroft, Bee Partners and 468 Capital also took part in the round.

We noted at that stage that COVID-19 had a sizable impact on robotics investment. At the very least, the pandemic has served to accelerate interest in automation, as many “non-essential” workers have been unable to travel to their jobs. At present, manufacturing jobs often lack the ability to perform remotely.

Rapid notes that the company’s tech has been involved with the production of some 50 million parts over the past year, over a wide variety of different manufacturing verticals. And, like his predecessor, President Biden has already begun talking up strategies to return manufacturing jobs to the U.S. Of course, ambitious as it might be, any plan is going to have to be a balancing act between human jobs and automation.

Summary: Combining artificial intelligence technology with brain scan data, researchers have identified three novel subtypes of multiple sclerosis.

Source: UCL

Scientists at UCL have used artificial intelligence (AI) to identify three new multiple sclerosis (MS) subtypes. Researchers say the groundbreaking findings will help identify those people more likely to have disease progression and help target treatments more effectively.

Using Artificial Intelligence And Plant Biology, To Re-Connect People and Plants, For Health & Wellness — Dr. Lee Chae, Ph.D., Co-Founder & CTO, Brightseed.

Dr. Lee Chae, Ph.D., is a Co-Founder and Chief Technology Officer at Brightseed, a novel life sciences company, merging the tools of plant biology and artificial intelligence, with a goal of enabling a healthier future by re-illuminating and re-activating the connections between people and plants.

Continue reading “Dr. Lee Chae — Co-Founder / CTO, Brightseed — Re-Connect People and Plants, For Health & Wellness” »