Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: robotics/AI – Page 1,558

Go beyond the hype.

Dubbed as the internet of tomorrow, Web 3.0 seems to be the next big thing that’s going to change our lives by fundamentally reshaping the internet.

Web 3.0 is an upgrade to the Web, a meta technology for business software, a social movement for open data, and a new generation for artificial intelligence.

Large corporations are usually getting hacked, resulting in the exposure of millions of user data, and a McKinsey report from last year shows that almost all industries have got a trust rate of less than 50 percent.

But the new generation of the web, Web 3.0, could solve some privacy concerns as it features the internet on blockchain technology. Storing any data on blockchain makes that data decentralized, making the company’s data usage transparent, thus protecting it from breaches. However, returning the ownership of their data back to consumers could potentially disrupt the tech industry since tech giants would eventually lose access to the data that initially gave them a boost in an already competitive market.

Full Story:

Continue reading “Web 3.0 Is Coming, But Not Everyone Will Love It” | >

Machinia exists in the future when the world of robots is the norm. And, as has been highlighted in other posts, the world of the “extraordinary tomorrow” begins with the “unexceptional today.” #clean, #university

SAIT has started using autonomous robots to clean the floors at its main campus.

The robots are from Brain Corp, an artificial intelligence (AI) company, and contracted to SAIT for use through Calgary-based Bee Clean, Canada’s largest janitorial services provider.

In a Tuesday news release, Bee Clean said the robots will help maintain a “safe and clean” environment for students by scrubbing 58,000 square feet daily on the main campus.

Read more | >

Scientists and institutions dedicate more resources each year to the discovery of novel materials to fuel the world. As natural resources diminish and the demand for higher value and advanced performance products grows, researchers have increasingly looked to nanomaterials.

Nanoparticles have already found their way into applications ranging from energy storage and conversion to quantum computing and therapeutics. But given the vast compositional and structural tunability nanochemistry enables, serial experimental approaches to identify impose insurmountable limits on discovery.

Now, researchers at Northwestern University and the Toyota Research Institute (TRI) have successfully applied to guide the synthesis of new nanomaterials, eliminating barriers associated with materials discovery. The highly trained algorithm combed through a defined dataset to accurately predict new structures that could fuel processes in clean energy, chemical and automotive industries.

Read more | >

Artificial intelligence (AI) backed drug discovery company Insilico Medicine announced last week that it was dosing the first healthy volunteer in a microdose trial of ISM 001–005. Designed with the help of AI, the drug is a small-molecule inhibitor of a biological target that was discovered by Pharma. AI. The trial is being conducted in Australia.

The AI-designed drug will be used to treat chronic lung disease idiopathic pulmonary fibrosis, or IPF usually leads to progressive and irreversible lung-function decline and affects 20 people out of over 100,000 globally.

Chief Scientific Officer of Insilico, Freng Ren, said in a press release that this drug discovery and trial marks a significant milestone in the AI-drug discovery space. This is because the said candidate is the first-ever AI-discovered novel molecule based on an AI-discovered target.

Read more | >

Korean researchers have created a very realistic and capable robot hand that looks very promising. It is strong (34N of grip strength) and reasonably lightweight (1.1 kg), too. There are several videos of the hand in action, of which you can see two of them below including one where the hand uses scissors to cut some paper. You can also read the full paper for details.

Like many good projects, this one started with requirements. The team surveyed existing hands noting the positives and negatives of each design. They then listed the attributes they wanted in a new design.

The 22 cm hand has 4 fingers, a thumb, and sensors on each fingertip. Overall, there are 20 joints resulting in 15 degrees of freedom so the hand is very dexterous. The construction looks taxing with eccentric motors, ball screws, and linkages. However, the hand is self-contained and ready to mount on any robot arm.

Read more | >

AI machine learning presents a roadmap to define new materials for any need, with implications in green energy and waste reduction.

Scientists and institutions dedicate more resources each year to the discovery of novel materials to fuel the world. As natural resources diminish and the demand for higher value and advanced performance products grows, researchers have increasingly looked to nanomaterials.

Nanoparticles have already found their way into applications ranging from energy storage and conversion to quantum computing and therapeutics. But given the vast compositional and structural tunability nanochemistry enables, serial experimental approaches to identify new materials impose insurmountable limits on discovery.

Read more | >

Summary: A new computational method sheds light on the intricacies of brain structure and function.

Source: Baylor College of Medicine.

To better appreciate how a complex organ such as the brain functions, scientists strive to accurately understand both its detailed cellular architecture and the intercellular communications taking place within it.

Read more | >

Revolutionary new electronic components can be adapted to perform very different tasks – a technology perfectly suited for artificial intelligence.

Normally, computer chips consist of electronic components that always do the same thing. In the future, however, more flexibility will be possible: New types of adaptive transistors can be dynamically switched during run-time to perform different logical tasks. This fundamentally changes the possibilities of chip design and opens up completely new opportunities in the field of artificial intelligence, neural networks or even logic that works with more values than just 0 and 1.

In order to achieve this, scientists at TU Wien (Vienna) did not rely on the usual silicon technology, but on germanium. This was a success: The most flexible transistor in the world has now been produced using germanium. It has been presented in the journal ACS Nano. The special properties of germanium and the use of dedicated program gate electrodes made it possible to create a prototype for a new component that may usher in a new era of chip technology.

Read more | >