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Anyone paying attention to all of the news about autonomous vehicles from Google and other companies may have noticed a common thread in the stories, photos and videos. The roads are always dry and the sun is shining. That’s because many of the sensors used to let a car manage its own trajectory don’t work well unless they can see the road and other surroundings clearly. Ford is now claiming to be the first automaker to test its prototype autonomous vehicles in winter weather conditions.

After becoming the first automaker to use the Mcity test facility in Ann Arbor, Mich. for autonomous vehicle tests last fall, the Dearborn automaker continued its development work into December when the snow started to fly.

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Competition for scarce electromagnetic (EM) spectrum is increasing, driven by a growing military and civilian demand for connected devices. As the spectrum becomes more congested, the Department of Defense (DoD) will need better tools for managing the EM environment and for avoiding interference from competing signals. One recent DARPA-funded advance, an exceptionally high-speed analog-to-digital converter (ADC), represents a major step forward. The ADC could help ensure the uninterrupted operation of spectrum-dependent military capabilities, including communications and radar, in contested EM environments. The advance was enabled by 32 nm silicon-on-insulator (SOI) semiconductor technologies available through DARPA’s ongoing partnership with GlobalFoundries, a manufacturer of highly-advanced semiconductor chips.

The EM spectrum, whose component energy waves include trillionth-of-a-meter-wavelength gamma rays to multi-kilometer-wavelength radio waves, is an inherently physical phenomenon. ADCs convert physical data—that is, analog data—on the spectrum into numbers that a digital computer can analyze and manipulate, an important capability for understanding and adapting to dynamic EM environments.

Today’s ADCs, however, only process data within a limited portion of the spectrum at a given time. As a result, they can temporarily overlook critical information about radar, jamming, communications, and other potentially problematic EM signals. DARPA’s Arrays at Commercial Timescales (ACT) program addressed this challenge by supporting the development of an ADC with a processing speed nearly ten times that of commercially available, state-of-the-art alternatives. By leveraging this increased speed, the resulting ADC can analyze data from across a much wider spectrum range, allowing DoD systems to better operate in congested spectrum bands and to more rapidly react to spectrum-based threats.

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Early detection by Grail (leveraging illumina’s gene sequencing technology) looks promising. This truly will be beneficial for early detection. And, I will be very interested in seeing how it benefits those who are genetically pre-disposed to cancer related gene mutations especially around Esaphogus, Glioblastoma, and Pancreatic cancers since these are often hard to detect in their earliest stages.

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And, no one should say “Never” when it comes to people replaced by robots in the military.

Not good for the Russian military people.


Science fiction movies are quickly becoming a reality on the modern battlefield, as robots gradually supplant people in certain aspects of Russian military operations. The full automation of the armed forces using artificial intelligence is still a long way off, but some key functions once entrusted only to humans have already been passed on to machines.

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Many folks often ask “What’s next for technology after Quantum?” Many suggests space, some folks suggest some sort of vNext technology or science that hasn’t been identified or fully discovered, etc. It truly is something that many of us have been asking ourselves for the past few years. However, there is still so much that still needs to be experimented with in ragards to Quantum; including teleporting information via Quantum from a black hole. And, what and how will this type of experiment improve our own usage of Quantum in the future.


The information that can be extracted from this hypothetical black hole is quantum information, meaning that instead of existing in either a 0 or 1 state, like a classical bit, the data collected would exist as a superposition of all potential states.

“We’ve demonstrated concretely that it is possible, in principle, to retrieve some quantum information from a black hole,” said study co-author Adam Jermyn, a doctoral candidate at the University of Cambridge in England. [The 9 Biggest Unsolved Mysteries in Physics]

But don’t go tossing your computer into the nearest black hole just yet. The amount of information that can be retrieved is tiny — just one quantum bit, or qubit. What’s more, getting that bit would likely mean sacrificing the possibility of retrieving other quantum information from the black hole, the researchers reported in October 2015 in the preprint journal arXiv.