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How long should an EV battery last? Elon Musk seems to think that a million miles is just about right — last April he announced that Tesla had a “1 million-mile battery pack” in the pipeline. That’s an ambitious goal, to say the least — do we really need a battery that lasts three to four times as long as a typical car? We will.

Source: Charged

As a recent article posted on Forbes points out, while today’s typical Li-ion battery packs are more than adequate for individual EV owners, applications such as taxi services and long-distance trucking will require batteries optimized for longevity (according to writer Ariel Cohen, the average trucker logs some 100,000 to 150,000 miles per year). Thus, long-life batteries are likely to be critical to the success of the Tesla Network (a proposed fleet of robo-taxis) and the Tesla Semi.

Ira Pastor, ideaXme exponential health ambassador, interviews Dr. Magomed Khaidakov, Assistant Research Professor, Department of Internal Medicine, University of Arkansas for the Medical Sciences. https://www.amazon.com/Pessimistic-Guide-Anti-aging-Research…atfound-20

Ira Pastor Comments

Today we are going to be talking about mitochondria, among many other longevity and anti-aging themed topics.

We’re also going to talk a little bit about the role of pessimism and realism when it comes to the human translation of certain technologies, and why it is important to limit “messianic thinking” as much as possible.

Science fiction writers envisioned the technology decades ago, and startups have been working on developing an actual product for at least 10 years.

Today, Mojo Vision announced that it has done just that—put 14K pixels-per-inch microdisplays, wireless radios, image sensors, and motion sensors into contact lenses that fit comfortably in the eyes. The first generation of Mojo Lenses are being powered wirelessly, though future generations will have batteries on board. A small external pack, besides providing power, handles sensor data and sends information to the display. The company is calling the technology Invisible Computing, and company representatives say it will get people’s eyes off their phones and back onto the world around them.

The first application, says Steve Sinclair, senior vice president of product and marketing, will likely be for people with low vision—providing real-time edge detection and dropping crisp lines around objects. In a demonstration last week at CES 2020, I used a working prototype (albeit by squinting through the lens rather than putting it into my eyes), and the device highlighted shapes in bright green as I looked around a dimly lit room.

We’re at a fascinating point in the discourse around artificial intelligence (AI) and all things “smart”. At one level, we may be reaching “peak hype”, with breathless claims and counter claims about potential society impacts of disruptive technologies. Everywhere we look, there’s earnest discussion of AI and its exponentially advancing sisters – blockchain, sensors, the Internet of Things (IoT), big data, cloud computing, 3D / 4D printing, and hyperconnectivity. At another level, for many, it is worrying to hear politicians and business leaders talking with confidence about the transformative potential and societal benefits of these technologies in application ranging from smart homes and cities to intelligent energy and transport infrastructures.

Why