Lifeboat Foundation

Back in September, the Chan Zuckerberg Initiative – the philanthropic company set up by Facebook CEO Mark Zuckerberg and his wife, Dr. Priscilla Chan – set a goal to invest $3 billion to cure, prevent, and manage disease by the end of the century.

The company has taken a huge first step toward the objective by partnering with scientists, doctors, engineers, and other key stakeholders. With the acquisition of Toronto-based company, Meta, the team is moving even closer to their goal by creating tools and technology designed to empower the scientific community.

Meta is a research paper search engine that uses artificial intelligence (AI) to deliver the most relevant results to researchers. Following this acquisition, the Chan Zuckerberg initiative will enhance the service before eventually rolling it out for free.

Continue reading “Chan Zuckerberg Initiative’s AI Acquisition Will Make Science Free for All” »

https://youtube.com/watch?v=DnYUNQVcVnI

Technology giant IBM is known for of making bold predictions about the future, and it’s just announced its latest “5 in 5” list, highlighting the five innovations that they think will have the biggest impact on our lives over the next five years.

According to the company, in only a few years, we’re set to see huge developments in artificial intelligence (AI), ultra-powerful telescopes, smart sensors, and medical devices — with benefits ranging from healthcare and the environment, to our understanding of Earth and the Universe itself.

Continue reading “IBM Just Posted 5 Predictions About What Life Will Be Like in 2022” »

Carrie Fisher just died but she will likely come back to life because the Singularity is Near and is bringing Singularity CGI with it!

Bringing the dead back to life

In the latest Star Wars movie, Rogue One, five characters were brought back as they would have looked between episodes 3 and 4 of Star Wars. They were Princess Leia, Grand Moff Tarkin, Dr. Cornelius Evazan (who said “I have the death sentence on twelve systems” in episode 4), General Dodonna, and Mon Mothma. General Dodonna and Mon Mothma were brought back with the traditional method of using actors who looked similar to the original actors. The other three were brought back with CGI (computer-generated imagery), more specifically CGI enhanced with motion capture.

Continue reading “Singularity CGI” »

Google and others think software that learns to learn could take over some work done by AI experts.

I never heard of this sort of making bubbles. And the details given are slim. Anyone here of this?

The first Death Star had a diameter of between 140 and 160 kilometers. The second Death Star’s diameter ranged from 160 to 900 kilometers.

There are two near term technologies which could be applied to making Death Star sized structures:

Continue reading “Technology for making Death Star Sized Structures will have technical feasibility in the next 20 years” »

In Brief:

• Even though AI systems creating AI systems seems like the recipe for a Sci-Fi nightmare, experts agree that it could create a future with a less expensive and more efficient workforce
• The benefits of an AI-powered future might be outweighed by the jobs that the technology makes obsolete

Imagine the conflicted feelings of the machine learning expert who is creating artificial intelligence (AI) that they know will one day, possibly very soon, be able to create better AI than them. It’s the new age’s way of holding on to the time-honored tradition of having to train your own replacement. Machine learning experts are currently being paid a premium wage due to their limited numbers and the high demand for their valuable skills. However, with the dawn of software that is “learning to learn,” those days may be numbered.

In Brief The success of this work will help healthcare professionals diagnose more accurately and efficiently, and it will allow for more diagnostic care in areas with limited healthcare services and providers.

In early August, IBM announced that it will acquire Merge Healthcare Inc., a company that sells systems that help medical professionals access and store medical images. This move is a critical step in IBM’s plan to put AI to work medically by training its Watson software to identify maladies like heart disease and cancer.

Merge is valuable to IBM because it owns 30 billion images, including computerized tomography, X-rays, and magnetic-resonance-imaging scans. The company can use these images in its deep learning training program. IBM is hoping that the same kind of software that lets Flickr recognize your face or a dog in your photos can help Watson identify symptoms of diseases.

Continue reading “Artificial Intelligence is Leading a Revolution in Medicine” »

I keep reminding folks it is a must to have a very diverse team when we look at robotics and Biocomputing/ tech of any sort.

A black researcher had to wear a white mask to test her own project.

Facial recognition programs don’t recognize minorities as often as they do Caucasian faces — and here is why.