Earlier this week, Bill Gates got a lot of attention for releasing some mosquitoes into a crowd while talking about malaria. The video is now available for viewing, and you can watch it below. The incident comes about 5 minutes into the speech, but the entire presentation is worth watching if you have time.
A good friend of mine and I have been discussing the predictive nature of the markets, or as I contend the lack of. Since he’s a follower of the pseudoscience of TA, he says he can predict the markets. He doesn’t trade, but is very interested in the markets and eats, sleeps, and breathes markets. He’s been trying to confuse me with all his mumbo jumbo and I finally said no mas. I proposed a small wager and he accepted. We’re both opening up two small accounts(I’m just segregating an account of mine) and he’s going to use TA to determine his trades. Instead of using my regular methods for finding trades, I’ve decided to use the device pictured below to give me trading guidance.
A meeting about new approaches to sequencing the human (or any other species) genome. Some of these sound pretty fantastic. One company claims to be able to sequence human genomes for $5000. In 8 days around Christmas, they assembled 254 billion bases of DNA data to create a draft sequence covering 92% of the genome. y June the cost will be $1000 and that they expect to sequence 20,000 by next year. Since little data, it is probably good to be a little skeptical.
Another group presented data on a method they claim will be able to produce entire human genome sequences in 3 minutes. Lets see about 3 billion bases in 180 seconds is 17 million bases a second. Wow.
Nearly a decade age, a Houston computer scientist posed this heretical question. Today, it’s led to a movement dubbed “probabilistic computing,” which he believes will revolutionize the future of computing.
This afternoon, Krishna Palem, speaking at a computer science meeting in San Francisco, will announce results of the first real-world test of his probabilistic computer chip: The chip, which thrives on random errors, ran seven times faster than today’s best technology while using just 1/30th the electricity