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The TV show “Star Trek: The Next Generation” introduced millions of people to the idea of a holodeck: an immersive, realistic 3D holographic projection of a complete environment that you could interact with and even touch.

In the 21st century, holograms are already being used in a variety of ways such as medical systems, education, art, security and defense. Scientists are still developing ways to use lasers, modern digital processors, and motion-sensing technologies to create several different types of holograms which could change the way we interact.

My colleagues and I working in the University of Glasgow’s bendable electronics and sensing technologies research group have now developed a system of holograms of people using “aerohaptics,” creating feelings of touch with jets of air. Those jets of air deliver a sensation of touch on people’s fingers, hands and wrists.

We live in a world where significant technological developments in processing technology have dramatically transformed our way of life, with rapid improvements in computing capacity.

The world’s information continues to grow. In 2,018 the total amount of data stored in the world was 33 zettabytes (33×1021 bytes). To put it another way, one zettabyte of data would require 33 billion one-terabyte.

As difficult as it is to wrap one’s head around that amount of data, it is expected to swell to 175 zettabytes by 2025. To this date, extracting and storing this increasingly massive amount of data represents a tremendous challenge in terms of efficiency, accuracy, and sustainable energy cost.

What do you do when you’re so rich you could live to be a hundred and still not spend a noticeable fraction of your fortune? Buy yourself some more time. Literally.

The Amazon founder Jeff Bezos, 57 was reported last week to be among the backers of a new “rejuvenation company”, Altos Labs, a Silicon Valley start-up that has set its sights on understanding why we age and how we might prevent it — and ultimately work out how we might live for ever.

Bezos is not the only billionaire looking towards his end days. The men behind Google and Facebook are also dabbling in the dark art of manipulating mortality. But are they altruistically investing for the good of humanity — or is this.

In this podcast, I have invited Daniel Jue, one of the youngest Entrepreneurs of the field of AGI. Daniel is an Independent Artificial General Intelligence researcher at Cognami in the US. He has worked supporting the US Department of Defense, including Data Fusion and analytic development for DARPA, the Defense Advanced Research Projects Agency, whose mission is to prevent technological surprise by potential adversaries. In addition he worked with scientists and engineers at IronNet CyberSecurity, a startup with DARPA and NSA heritage who have recently gone public. In March of 2,021 Daniel took on full time AGI research, drawing upon the fields of Computer Science, Neuroscience, Philosophy and Psychology. Some of his major influences have been Jacques Pitrat’s CAIA (An Artificial AI Scientist) project, Jean Piaget’s childhood development theories and Spiking Neural Networks. He sees a generalizable substrate at the basis for AGI, where engineers design the “physics” in which intelligent behavior could emerge.

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Summary: A newly identified gene therapy pathway has the potential to protect us against dementia and cancer, researchers report.

Source: University of Sheffield.

Researchers from the University of Sheffield have discovered a new gene therapy pathway that has uncovered an important regulatory mechanism to keep our genome healthy. This pathway has the potential to protect us against serious life-limiting diseases such as cancer and dementia.

Spread across approximately 140,000 square feet, the Kotak-IISc AI-ML centre will offer Bachelor’s, Master’s and short-term courses in areas such as artificial intelligence, machine learning, deep learning, fintech, reinforcement learning, image processing and computer vision, a joint statement said.

Read | Management institutes eye new-age tech with dedicated centres and specialised courses

The Centre, established under KMBL’s CSR project on Education & Livelihood, will also promote research and innovation in AI and ML and develop the talent pool from across the country to provide cutting-edge solutions to meet industry’s emerging and future requirements, it said.

The existential threat of COVID-19 has highlighted an acute need to develop working therapeutics against emerging health threats. One of the luxuries deep learning has afforded us is the ability to modify the landscape as it unfolds — so long as we can keep up with the viral threat, and access the right data.

As with all new medical maladies, oftentimes the data needs time to catch up, and the virus takes no time to slow down, posing a difficult challenge as it can quickly mutate and become resistant to existing drugs. This led scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) to ask: how can we identify the right synergistic drug combinations for the rapidly spreading SARS-CoV-2?

Typically, data scientists use deep learning to pick out drug combinations with large existing datasets for things like cancer and cardiovascular disease, but, understandably, they can’t be used for new illnesses with limited data.