Although the colonization of Venus seems like a lost cause to many, it appears that the people at NASA are very optimistic about their plans to colonize it! Subscribe to Futurity for more space news.
#nasa #space #venus.
Continue reading “NASA Reveals NEW Plans to Colonize Venus” »
Researchers from Google and Harvard have released the most detailed map ever created of the human brain.
The map (called a connectome) contains “imaging data that covers roughly one cubic millimeter of brain tissue, and includes tens of thousands of reconstructed neurons, millions of neuron fragments, 130 million annotated synapses, 104 proofread cells, and many additional subcellular annotations and structures,” according to Google AI Blog.
Using a tool called the Neuroglancer (a cyberpunk novel if I’ve ever heard one!), you can browse that brain detail yourself.
It’s more likely than you think.
When it comes to interstellar missions, however, there are no plans for crewed missions on the table. While there are proposals for sending robotic missions, sending astronauts to nearby stars and exoplanets simply isn’t feasible yet.
Continue reading “Tardigrades: Why water bears could be the first interstellar astronauts” »
Companies like Facebook parent Meta and Google parent Alphabet have all experienced major A.I. bias blunders, sometimes involving computer vision technology misidentifying Black people with primates. Numerous high-profile academic studies, articles in mainstream news outlets, and proposed regulations by lawmakers in the European Union and elsewhere continue to bring the issue to the forefront.
On a personal note, I’ve lost count of the number of times I’ve had to write variations of the phrase “facial recognition software that works better on white males than women and people of color” in articles about A.I. bias.
Many companies are experimenting with AI, often in many different areas of the company. But experimentation is not enough. It’s essential to have a bold corporate strategy driven from the top. The AI strategy needs to be coordinated throughout the company in tight alignment with the overall business strategy.
AI can be scary for employees, and many are worried about their jobs (see another jobs?). The most successful AI-fueled organizations lead with change management to enable AI systems to succeed.
A key factor for successful change management is trust. Companies that focus on relationship-building, collaboration, and training engender trust. Successful companies help employees understand that most AI replaces tasks, not jobs. Those companies are aiming to augment jobs so that AI and employees work together. If AI is going to replace jobs, management needs to be clear about exactly how that will play out for the employees and provide opportunities for them to upskill or reskill.
Continue reading “4 Ways Successful Enterprises Are Driving Success In AI” »
Nvidia CEO Jensen Huang says AI is the most powerful technology in the world, and the company is using it to create some impressive new products.
Today we look at a fascinating approach to Artificial Intelligence or AI in which a mind is created at an infant-like level, with no knowledge and limited ability. Then it learns and develops from scratch through its own experience within the body of a device — be it a robot body or a toaster.
My guest today is Michael Miller, author of the new book “Building Minds with Patterns”. Michael is an expert at this kind of natural-growth AI development. I’ve had numerous conversations with Michael and come away every time blown away by the scope of his vision and his insights across psychology and the potential of thinking machines.
We explore human enhancement and personal performance hacking with Matt Ward (@mattwardio), host of The Disruptors podcast, startup investor, adviser, and business innovation consultant. Matt and I thought it would be fun to do two episodes, one here on MIND & MACHINE and the other on The Disruptors, where we explore what we’ve learned, the ideas we’ve formed and our takeaways across all these different fields that we cover.
So with this episode here on MIND & MACHINE, we focus on human enhancement — technologies that are extending lifespan and enhancing human capability. Then we get into what Matt and I are doing currently to maximize our own performance capabilities — our ability to think more clearly, to live more energetic vibrant lives… which is all heavily informed by all these amazing guests across these different fields that we explore.
On Thursday, November 11 at 6:32 p.m. EST, SpaceX’s Dragon autonomously docked with the International Space Station (ISS). Falcon 9 launched the spacecraft to orbit from historic Launch Complex 39A (LC-39A) at NASA’s Kennedy Space Center in Florida on Wednesday, November 10 at 9:03 p.m. EST.
After an approximate six-month stay, Dragon and the Crew-3 astronauts will depart the orbiting laboratory no earlier than late April 2022 for return to Earth and splashdown off the coast of Florida.
We explore Artificial Intelligence (AI) through Neuromorphic Computing with computer chips that emulate the biological neurons and synapses in the brain. Neuro-biological chip architectures enable machines to solve very different kinds of problems than traditional computers, the kinds of problems we previously thought only humans could tackle.
Our guest today is Kelsey Scharnhorst. Kelsey is an Artificial Neural Network Researcher at UCLA. Her research lab (Gimzewski Lab under James Gimzewski) is focused on creating neuromorphic computer chips and further developing their capabilities.
