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AI system facilitates plant imaging from germination to root development

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 .

Building up new data-storage memory

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 Suspends Engineer Who Claimed Its AI System Is Sentient

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.

What AI developers need to know about artificial intelligence ethics

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.”

Israeli-Based Tech Startup Brings Your Old Family Photos To Life With Amazing Artificial Intelligence

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.

How do we know when AI becomes conscious and deserves rights?

Machines becoming conscious, self-aware, and having feelings would be an extraordinary threshold. We would have created not just life, but conscious beings.

There has already been massive debate about whether that will ever happen. While the discussion is largely about supra-human intelligence, that is not the same thing as consciousness.

Now the massive leaps in quality of AI conversational bots is leading some to believe that we have passed that threshold and the AI we have created is already sentient.

A new brain-inspired intelligent system can drive a car using only 19 control neurons!

Read the article:► https://medium.com/towards-artificial-intelligence/a-new-bra…d127107db9
Paper:► https://www.nature.com/articles/s42256-020-00237-3.epdf.
Watch MIT’s video:► https://www.youtube.com/watch?v=8KBOf7NJh4Y&feature=emb_titl…l=MITCSAIL
GitHub:► https://github.com/mlech26l/keras-ncp.
Colab tutorials:
The basics of Neural Circuit Policies:► https://colab.research.google.com/drive/1IvVXVSC7zZPo5w-PfL3…sp=sharing.
How to stack NCP with other types of layers:► https://colab.research.google.com/drive/1-mZunxqVkfZVBXNPG0k…sp=sharing.

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Google Engineer On Leave After He Claims AI Program Has Gone Sentient

Blake Lemoine reached his conclusion after conversing since last fall with LaMDA, Google’s artificially intelligent chatbot generator, what he calls part of a “hive mind.” He was supposed to test if his conversation partner used discriminatory language or hate speech.

As he and LaMDA messaged each other recently about religion, the AI talked about “personhood” and “rights,” he told The Washington Post.

It was just one of the many startling “talks” Lemoine has had with LaMDA. He has linked on Twitter to one — a series of chat sessions with some editing (which is marked).