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Category: robotics/AI – Page 1,912

The Apple Car Is Coming, and It’s Reportedly a Fully Autonomous EV

Sources “familiar with the matter” told Bloomberg that the team in charge of developing the Apple Car was previously stuck choosing between two different developments paths: a more traditional EV with some enhanced driver-assist features similar to what you get from a number of existing vehicles, or a more sophisticated EV capable of a true autonomous driving with no input from its passengers.

Now, based on Bloomberg’s report, it seems Project Titan (Apple’s codename for the Apple Car) and new project leader Kevin Lynch have decided to go the latter route, with Apple looking to create a fully autonomous vehicle with no pedals or steering.

Of course, deciding to make a true self-driving car is easier said than done, as no automaker has yet to release a proper Level 5 autonomous vehicle, defined as a car that can pilot itself without any human intervention under any conditions or driving situations.

Novel artificial genomic DNA can replicate and evolve outside the cell

Professor Norikazu Ichihashi and his colleagues at the University of Tokyo have successfully induced gene expression from a DNA, characteristic of all life, and evolution through continuous replication extracellularly using cell-free materials alone, such as nucleic acids and proteins for the first time.

The ability to proliferate and evolve is one of the defining characteristics of living organisms. However, no artificial materials with these characteristics have been created. In order to develop an artificial molecular system that can multiply and evolve, the information (genes) coded in DNA must be translated into RNA, proteins must be expressed, and the cycle of DNA replication with those proteins must continue over a long period in the system. To date, it has been impossible to create a reaction system in which the genes necessary for DNA replication are expressed while those genes simultaneously carry out their function.

The group succeeded in translating the genes into proteins and replicating the original circular DNA with the translated proteins by using a circular DNA carrying two genes necessary for DNA replication (artificial genomic DNA) and a cell-free transcription-translation system. Furthermore, they also successfully improved the DNA to evolve to a DNA with a 10-fold increase in replication efficiency by continuing this DNA replication cycle for about 60 days.

By adding the genes necessary for transcription and translation to the artificial genomic DNA developed by the group, it could be possible to develop artificial cells that can grow autonomously simply by feeding them low-molecular-weight compounds such as amino acids and nucleotides, in the future. If such artificial cells can be created, we can expect that useful substances currently produced using living organisms (such as substances for drug development and food production) will become more stable and easier to control.

This research has been led by Professor Norikazu Ichihashi, a research director of the project “Development of a self-regenerative artificial genome replication-transcription-translation system” in the research area “Large-scale genome synthesis and cell programming” under the JST’s Strategic Basic Research Programs CREST (Team type). In this research area, JST aims to elucidate basic principles in relation to the structure and function of genomes for the creation of a platform technology for the use of cells.

Top 10 Quotes from AI leaders in 2021

The pandemic brought about a change in the way people look at technology. 2021 proves to be the development of a new era of technology where AI is at the core.

According to McKinsey’s Global Survey on artificial intelligence (AI) 2020, organizations are using AI as a tool for generating value in the form of revenues. Some executives have even observed that implementing AI has brought about a change of 20% in the organizations’ earnings. The COVID-19 pandemic has accelerated the concept of ‘all things digital’, and these companies plan to invest more in AI.

Why This Lab Is Slicing Human Brains Into Little Pieces

There’s a multibillion-dollar race going on to build the first complete map of the brain, something scientists are calling the “connectome.” It involves slicing the brain into thousands of pieces, and then digitally stitching them back together using a powerful AI algorithm.

Presented by Polestar.

#HelloWorld #Science #BloombergQuicktake.

About Hello World:

Meet the exotic, colorful, and endlessly entertaining characters that make up the technology industry beyond big tech. Watch Bloomberg’s Ashlee Vance in a journey around the world to find the inventors, scientists and technologists shaping our future: https://youtube.com/playlist?list=PLqq4LnWs3olU-bP2R9uD8YXbt02JjocOk.

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Continue reading “Why This Lab Is Slicing Human Brains Into Little Pieces” | >

“Most valuable” AI unicorn SenseTime gets Hong Kong IPO — sources

Whoever controls AI controls the world

“Most Valuable AI unicorn” goes for IPO.

“In 2019, SenseTime became one of the first Chinese companies to be placed on the US Entity List, a trade blacklist that restricts it from gaining access to certain technologies originating from the US. The White House under Donald Trump claimed that the company was ”implicated in human rights violations and abuses in the implementation of China’s campaign of repression, mass arbitrary detention, and high-technology surveillance” against the Uyghur population, a mostly Muslim ethnic group in the Xinjiang region.

SenseTime – a Chinese artificial intelligence (AI) company – has been approved to list on the Hong Kong Stock Exchange.

Researchers Find Human Learning Can be Duplicated in Synthetic Matter

Rutgers researchers and their collaborators have found that learning — a universal feature of intelligence in living beings — can be mimicked in synthetic matter, a discovery that in turn could inspire new algorithms for artificial intelligence (AI).

The study appears in the journal PNAS.

One of the fundamental characteristics of humans is the ability to continuously learn from and adapt to changing environments. But until recently, AI has been narrowly focused on emulating human logic. Now, researchers are looking to mimic human cognition in devices that can learn, remember and make decisions the way a human brain does.

Shapeshifting Microrobots that Fight Cancer on a Cellular Level

No, it’s not from a science fiction movie or from an episode of a popular kid’s television show. It’s real life. Researchers, in a proof-of-concept study, have made fish-shaped microrobots that are guided with magnets to cancer cells, where a pH change triggers them to open their mouths and release their chemotherapy cargo.

Scientists have previously made microscale (smaller than 100 µm) robots that can manipulate tiny objects, but most can’t change their shapes to perform complex tasks, such as releasing drugs. Some groups have made 4D-printed objects (3D-printed devices that change shape in response to certain stimuli), but they typically perform only simple actions, and their motion can’t be controlled remotely.

In a step toward biomedical applications for these devices, Jiawen Li, Li Zhang, Dong Wu and colleagues wanted to develop shape-morphing microrobots that could be guided by magnets to specific sites to deliver treatments. Because tumors exist in acidic microenvironments, the team decided to make the microrobots change shape in response to lowered pH.

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