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Today, the conjunction of climate change, the advent of artificial intelligence and the capacity to import human purposiveness into evolution through the reading and rewriting of our own genome are, like the first leaps in technology and their consequences, stirring a search for the sacred that frames both the limits and potentialities of what it means to be human. As the Polish thinker Leszek Kołakowski sagely put it, without a sense of the sacred, culture loses all sense.

For this reason, he posited in a conversation some years ago at All Souls College in Oxford, that “mankind can never get rid of the need for religious self-identification. … Who am I, where did I come from, where do I fit in, why am I responsible, what does my life mean, how will I face death? Religion is a paramount aspect of human culture. Religious need cannot be excommunicated from culture by rationalist incantation.”

In this, Rees agrees. Far from consigning faith to the past, science fiction plumbs its future. Where technology and its consequences go, the religious imagination will follow.

When Dr. Robert Murphy first started researching biochemistry and drug development in the late 1970s, creating a pharmaceutical compound that was effective and safe to market followed a strict experimental pipeline that was beginning to be enhanced by large-scale data collection and analysis on a computer.

Now head of the Murphy Lab for computational biology at Carnegie Mellon University (CMU), Murphy has watched over the years as data collection and artificial intelligence have revolutionized this process, making the drug creation pipeline faster, more efficient, and more effective.

Recently, that’s been thanks to the application of machine learning—computer systems that learn and adapt by using algorithms and statistical models to analyze patterns in datasets—to the drug development process. This has been notably key to reducing the presence of side effects, Murphy says.

Supersonic and hypersonic aircraft are slowly but surely coming back to the forefront of aviation. NASA is in the last development stages of its supersonic research aircraft, X-59, and Stratolaunch is getting ready to operate its first hypersonic test vehicle, the Talon-A.

This week’s episode is brought to you by The Space Force. For more information, please go to http://www.spaceforce.com #sponsored.

How much of your life is touched by space? On this episode, Neil deGrasse Tyson and comic co-host Chuck Nice break down the newest branch of the US military, The Space Force, with Charles Liu, Major General DeAnna Burt, and Dr. Moriba Jah. Is this one step closer to Star Wars?

Discover the alliance between astrophysics and the military. What ways are there to destroy a satellite? Charles Liu teaches us about electromagnetic pulses– EMPs– and how they disrupt electronics. Can people be safe from a detonated EMP, like in the movies? How do we protect ourselves against EMPs?

Next, we speak with Major General DeAnna Burt about her role within The Space Force and what it’s like to form an entire branch of the military from scratch. Who came up with the name Space Force? Is the creation of The Space Force an escalation of military tensions in the world? Is it a step towards war in space? Find out about geosynchronous robotic arms, kinetic kill vehicles, and what The Space Force really does to protect us against threats that exist already. We discuss satellites and just how much of daily life on earth is touched by space. How far does space go? Is The Space Force for the domain of the universe itself?

What’s the potential for warfare in space? Or the possibility of Star Wars? How do we work together to ensure fights don’t extend into space? Moriba Jah breaks down the objects we’re tracking in our orbit. What do you do when an object is on track to hit another object in orbit? We also discuss the Kessler Effect and what it means for the future of our orbits. How do you regulate and track the booming private satellite industry? All that plus, what about non-human threats?

Thanks to our Patrons Lisa Cotton, Luis Stark, Oscar h, Travis Mansfield, Justin Thomas, Josh Wise, and Astaroth for supporting us this week.

About six years ago, the CEO of Toyota Research Institute published a seminal paper about whether a Cambrian explosion was coming for robotics. The term “Cambrian explosion” refers to an important event approximately half a billion years ago in which there was a rapid expansion of different forms of life on earth. There are parallels with the field of robotics as modern technological advancements are fueling an analogous explosion in the diversification and applicability of robots. Today, we’re seeing this Cambrian explosion of robotics unfolding, and consequently, many distinct patterns are emerging. I’ll outline the top three trends that are rapidly evolving in the robotics space and that are most likely to dominate for years to come.

1. The Democratization Of AI And The Convergence Of Technologies.

The birth and proliferation of AI-powered robots are happening because of the democratization of AI. For example, open-source machine learning frameworks are now broadly accessible; AI algorithms are now in the open domain in cloud-based repositories like GitHub; and influential publications on deep learning from top schools can now be downloaded. We now have access to more computing power (e.g., Nvidia GPUs, Omniverse, etc.), data, cloud-computing platforms (e.g., Amazon AWS), new hardware and advanced engineering. Many robotics startup companies are capitalizing on this “super evolution” of technology to build more intelligent and more capable machines.

And it’s not a Tesla.

Swiss multinational company ABB a reputed name in the power and automation sectors has formally launched its electric vehicle charger, Terra 360 which is not only the fastest but can also power up to four vehicles at a time, said a company press release.

Creating next-gen technology to supercharge the second space race.

Honda has recently released their plans to build eVTOLs, robots, and even potentially help colonize the moon. All very noble and ambitious plans, but those, Honda says, that are being put in place to help solve issues beyond just transportation.

November 12 2020


RESEARCH TRIANGLE PARK, N.C. — A new machine learning algorithm, developed with Army funding, can isolate patterns in brain signals that relate to a specific behavior and then decode it, potentially providing Soldiers with behavioral-based feedback.

“The impact of this work is of great importance to Army and DOD in general, as it pursues a framework for decoding behaviors from brain signals that generate them,” said Dr. Hamid Krim, program manager, Army Research Office, an element of the U.S. Army Combat Capabilities Develop Command, now known as DEVCOM, Army Research Laboratory. “As an example future application, the algorithms could provide Soldiers with needed feedback to take corrective action as a result of fatigue or stress.”

Brain signals contain dynamic neural patterns that reflect a combination of activities simultaneously. For example, the brain can type a message on a keyboard and acknowledge if a person is thirsty at that same time. A standing challenge has been isolating those patterns in brain signals that relate to a specific behavior, such as finger movements.

Waymo, Alphabet Inc.’s autonomous driving company, is vague on exactly when semis controlled by its technology will be hauling cargo, without drivers, across the U.S. but has a detailed list of challenges to be mastered first, ranging from rough winds and slick roads, stray pedestrians on the highway and figuring out how robot trucks can deploy safety flares when they have to pull over.

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According to 2020’s McKinsey Global Survey on artificial intelligence (AI), in 2,020 more than 50% of companies have adopted AI in at least one business unit or function, so we witness the emergence of new AI trends. Organizations apply AI tools to generate more value, increase revenue and customer loyalty. AI leading companies invest at least 20% of their earnings before interest and taxes (EBIT) in AI. This figure may increase as COVID-19 is accelerating digitization. Lockdowns resulted in a massive surge of online activity and an intensive AI adoption in business, education, administration, social interaction, etc.

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