Lifeboat Foundation

When it comes to developing treatments and eventual cures for diseases, being able to diagnose a condition early and accurately makes a huge difference – and scientists have now developed a quick, reliable method of identifying people with Parkinson’s disease.

The test can be run in as little as 3 minutes after a skin swab has been taken. The swab is analyzed for changes in the chemical mix of sebum, a natural waxy oil produced by the skin that has previously been linked to Parkinson’s.

At the moment, there’s no conclusive test for Parkinson’s disease – specialists look at symptoms, medical history, the results of a lengthy physical examination, and in some cases, a brain scan to diagnose the condition.

Tesla is finally planning to expand the Gigafactory Nevada building after years of being “stuck” at about “30% of its final size.”

Tesla Gigafactory Nevada was the first major step in Tesla’s effort to secure battery cell supply for its ambitious growth.

The automaker partnered with Panasonic to deploy new battery cell production capacity at the facility, and Tesla used those cells to build battery packs for its vehicles and energy storage products.

Because of its distinctive and adorable look, the axolotl Ambystoma mexicanum is a popular pet. Unlike other metamorphosing salamanders, axolotls (pronounced ACK-suh-LAH-tuhl) never outgrow their larval, juvenile stage, a trait known as neoteny. It’s also recognized for its ability to regenerate missing limbs and other tissues including the brain, spinal cord, tail, skin, limbs, liver, skeletal muscle, heart, upper and lower jaw, and ocular tissues like the retina, cornea, and lens.

Mammals, including humans, are almost incapable of rebuilding damaged tissue after a brain injury. Some species, such as fish and axolotls, on the other hand, may replenish wounded brain regions with new neurons.

For airliners, cargo ships, nuclear power plants and other critical technologies, strength and durability are essential. This is why many contain a remarkably strong and corrosion-resistant alloy called 17–4 precipitation hardening (PH) stainless steel. Now, for the first time ever, 17–4 PH steel can be consistently 3D-printed while retaining its favorable characteristics.

A team of researchers.

Artificial intelligence researchers are doubling down on the concept that we will see artificial general intelligence (AGI) — that’s AI that can accomplish anything humans can, and probably many we can’t — within our lifetimes.

Responding to a pessimistic op-ed published by TheNextWeb columnist Tristan Greene, Google DeepMind lead researcher Dr. Nando de Freitas boldly declared that “the game is over” and that as we scale AI, so too will we approach AGI.

Greene’s original column made the relatively mainstream case that, in spite of impressive advances in machine learning over the past few decades, there’s no way we’re gonna see human-level artificial intelligence within our lifetimes.

Chinese scientists are reported to have developed a fully-automated, pig-cloning robot, and the AI-powered bot is apparently way more efficient than humans.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here.

Every time someone invents a new standard, the rest of the world is compelled to comply: VHS to DVD, DVD to Blu-ray, or Blu-ray to streaming. Change is inexorable, but it can also be glacially slow. Converting the tech geeks and conspicuous consumers is easy, but getting the long tail of ordinary users to embrace the “new paradigm” is fiendishly hard — and so, it is with Web3.

We’re living through a transitional time when the slow deprecation of one standard is being countered with the mainstreaming of another. To say that red pilling the masses on the wonders of Web3 has been tough would be an understatement, however. At this stage, it cannot even be said for certain that Web3 will replace its numerical predecessor — rather, it is more of an if. For Web2 to go the way of the VHS and fully transition to a new format — much needs to happen first.

So how should companies begin to think about ethical data management? What measures can they put in place to ensure that they are using consumer, patient, HR, facilities, and other forms of data appropriately across the value chain—from collection to analytics to insights?

We began to explore these questions by speaking with about a dozen global business leaders and data ethics experts. Through these conversations, we learned about some common data management traps that leaders and organizations can fall into, despite their best intentions. These traps include thinking that data ethics does not apply to your organization, that legal and compliance have data ethics covered, and that data scientists have all the answers—to say nothing of chasing short-term ROI at all costs and looking only at the data rather than their sources.

In this article, we explore these traps and suggest some potential ways to avoid them, such as adopting new standards for data management, rethinking governance models, and collaborating across disciplines and organizations. This list of potential challenges and remedies is not exhaustive; our research base was relatively small, and leaders could face many other obstacles, beyond our discussion here, to the ethical use of data. But what’s clear from our research is that data ethics needs both more and sustained attention from all members of the C-suite, including the CEO.

We directly experience 3 spatial and 1 temporal dimensions (3+1). But here’s an interesting observation made by Kaluza and Klein almost a century ago: If you write the equations of general relativity in (4+1) dimensions, but imagine one spatial di…