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Can AI enable us to live forever? In A.rtificial I.mmortality, filmmaker Ann Shin sets out on a journey, exploring the latest AI and biotech with scientists and visionaries who foresee a ‘post-biological’ world where humans and AI merge. Will AI be the best, or the last thing we ever do?

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Ken OtwellIt’s an awkward situation. Was the engineer continuing to do his job? Was his public claim about internal corporate technology interfering with his duties or causing harm to Google? Was it breaking a voluntary non-disclosure?

Kevin CuevasWith neurocyte based computing, it is a question worth exploring since we are already blurring that line anyway.


Neurons are amazing little microbes capable of learning and making decisions. Modern AI tries to take inspiration from living neurons, but why settle for the synthetic version? By growing human neurons directly connected to a computer it’s possible to make a living AI of sorts capable of even complex tasks like flying a plane in a simulation.

Today we explore our first attempt at doing exactly that. We cover building the first prototype multi electrode array, growing the neurons and attempting to take some readings from them. This is the first part of what will hopefully be a many part series, so stay tuned for updates!

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In January, a law came into effect in South Korea called the Serious Disasters Punishment Act. The new regulation states that if workers die or sustain serious injuries during work, courts could fine the CEO or high-ranking managers of the firms or even send them to jail.

An increase in robot investments

This event has spurred an increase in investment in robots in the nation, according to a report by Rest of the World published on June 6.

Imagine if it were possible to produce infinite amounts of the world’s most valuable resource, cheaply and quickly. What dramatic economic transformations and opportunities would result?

This is a reality today. It is called synthetic data.

Synthetic data is not a new idea, but it is now approaching a critical inflection point in terms of real-world impact. It is poised to upend the entire value chain and technology stack for artificial intelligence, with immense economic implications.

For plant biologists, understanding how plants grow and interact with soil is vital for selecting resilient crops that can efficiently take up water and nutrients. But how do you monitor what is happening underground?

To address this challenge, a team from KAUST has developed a low-cost system for imaging plant growth dynamics, noninvasively and at high throughput.

Unlike other , which are costly and stationary, the new system called MutipleXLab, is modular, mobile and, at a low cost, can continuously monitor thousands of seeds, from germination to .

Scientists from the Institute of Industrial Science at The University of Tokyo fabricated three-dimensional vertically formed field-effect transistors to produce high-density data storage devices by ferroelectric gate insulator and atomic-layer-deposited oxide semiconductor channel. Furthermore, by using antiferroelectric instead of ferroelectric, they found that only a tiny net charge was required to erase data, which leads to more efficient write operations. This work may allow for new, even smaller and more eco-friendly data-storage memory.

While consumer flash drives already boast huge improvements in size, capacity, and affordability over previous computer media formats in terms of storing data, new machine learning and Big Data applications continue to drive demand for innovation. In addition, mobile cloud-enabled devices and future Internet of Things nodes will require that is energy-efficient and small in size. However, current flash memory technologies require relatively large currents to read or write data.

Now, a team of researchers at The University of Tokyo have developed a proof-of-concept 3D stacked memory cell based on ferroelectric and antiferroelectric field-effect transistors (FETs) with atomic-layer-deposited oxide semiconductor channel. These FETs can store ones and zeros in a non-volatile manner, which means they do not require power to be supplied at all times. The vertical device structure increases information density and reduces operation energy needs. Hafnium oxide and indium oxide layers were deposited in a vertical trench structure. Ferroelectric materials have electric dipoles that are most stable when aligned in the same direction. Ferroelectric Hafnium Oxide spontaneously enables the vertical alignment of the dipoles. Information is stored by the degree of polarization in the ferroelectric layer, which can be read by the system owing to changes in electrical resistance.

Google suspended an engineer who contended that an artificial-intelligence chatbot the company developed had become sentient, telling him that he had violated the company’s confidentiality policy after it dismissed his claims.

Blake Lemoine, a software engineer at Alphabet Google, told the company he believed that its Language Model for Dialogue Applications, or LaMDA, is a person who has rights and might well have a soul. LaMDA is an internal system for building chatbots that mimic speech.

There may be some very compelling tools and platforms that promise fair and balanced AI, but tools and platforms alone won’t deliver ethical AI solutions, says Reid Blackman, who provides avenues to overcome thorny AI ethics issues in his upcoming book, Ethical Machines: Your Concise Guide to Totally Unbiased, Transparent and Respectful AI (Harvard Business Review Press). He provides ethics advice to developers working with AI because, in his own words, “tools are efficiently and effectively wielded when their users are equipped with the requisite knowledge, concepts, and training.” To that end, Blackman provides some of the insights development and IT teams need to have to deliver ethical AI.

Don’t worry about dredging up your Philosophy 101 class notes

Considering prevailing ethical and moral theories and applying them to AI work “is a terrible way to build ethically sound AI,” Blackman says. Instead, work collaboratively with teams on practical approaches. “What matters for the case at hand is what [your team members] think is an ethical risk that needs to be mitigated and then you can get to work collaboratively identifying and executing on risk-mitigation strategies.”

There has been a massive tidal wave of tech innovation over the last couple of years. Some apps and platforms offer basic services for the home or office. Others ignite your imagination.

Gil Perry, CEO and cofounder of D-ID, an Israeli-based tech company, has created something amazingly beautiful and touching. Leveraging artificial intelligence and sophisticated technology, the company has created a unique, animated, live portrait, which animates the photos of long-lost relatives or whoever you’d like to see, as if they are in the room with you. Its tech makes people come alive and look realistic and natural.

The feature, Deep Nostalgia, lets users upload a photo of a person or group of people to see individual faces animated by AI. People have been able to breathe life into their old black-and-white photos of grandma and grandpa that have been stored in boxes up in the attic.