A startup will allow voluntary internet detectives to study unusual medical cases and attempt to solve them. Millions of people suffer from rare or complex medical conditions for which they have received no diagnosis, but where a handful of doctors have failed, the collective force of the internet can do it – we can do it. Medical Mysteries In 2003, Jared
MIT engineers demonstrated a working spectrometer that took a huge leap in scale from a huge, bulky lab gear to a portable piece of equipment that’s small enough to fit in a smartphone. Spectrometer are essential to research nowadays, employed in everything from physics, to biology, to chemistry. To design the spectrometer, the MIT team made use of tiny semiconductor nanoparticles called quantum dots. Having a portable spectrometer could prove to be extremely practical .You can use it to remotely diagnose diseases, detect pollution or food poisoning.
In March, we were telling you about Tesla Motors’ new development, a new battery that could take your home off the grid and eliminate one of the major problems associated with renewable energy – storing it. Now, Tesla is already rolling out the new generation with some remarkable feature. The coolest one? Liquid cooling!
NASA is preparing to send a drone to Mars by 2024 – they’ve already developed a small, lightweight craft that could conduct aerial surveys and identify potential landing areas and zones of interest.
Among the many tools it has in its arsenal, cancer is also very good at hiding – so good that according to a study, we miss 7% of cancers even when we have an X-Ray. But a company is looking to change all that an employ the help of accurate computer algorithms.
Some 10% of the energy generated by an engine’s car is lost due to friction between tires and the pavement. What if you could harness this lost energy somehow? A group at University of Wisconsin-Madison in collaboration with researchers in China have found a ingenious way to collect and use this friction energy by effectively inserting nanogenerators into tires.
In a recent paper published in Nature, researchers at the Samsung Advanced Institute of Technology report how they nearly doubled the charge carrying capability of a lithium-ion battery by coating the silicon anodes with graphene. Paired with recent advances in graphene deposition and manufacturing, this sort of tech of could very well end up powering your notebook or phone a couple years from now.
This question was prompted to Ray Kurzweil – well known futurologist, pioneer of the Singularity Movement and Director of Engineering at Google – by a member of the audience during a Q&A session at an Executive Program hosted at Singularity University last October. You might not give it much thought now, but the truth is half of all American jobs could be replaced by robots in just a couple of decades. If you’re a teller, supermarket cashier, call center operator or even a famer, you’ll likely lose your job in the coming decades. So, what’s to do then? Should we all rally and ban robots? It’s no easy topic, but at the same time it’s important, I think, not to panic. We need to remember that this isn’t the first time something like this happened. It’s the old human vs automation problem. How many millions of jobs were lost to mass production in the late XIXth century? How many more once computers started permeating society? At the same time, new jobs were made. Just look at where the information industry is today. The major challenge is not if new jobs can be made. This isn’t really problem. The real challenge is to make these available at the right pace and make sure people have the necessary resources to repurpose their skill set. I’ll leave you to Ray.
In his book “Do Androids Dream of Electric Sheep”, one of my favorite writers Philip K. Dick explores what sets apart humans from androids. The theme is more valid today than it ever was, considering the great leaps in artificial intelligence we’re seeing coming off major tech labs around the world, like Google’s. Take for instance how the company employs advanced artificial neural networks to zap through a gazillion images, interpret them and return the right one you’re looking for when you make a query using the search engine. Though nothing like a human brain, the networks uses 10-30 stacked layers of artificial neurons with each layer doing its job in incremental order to come to an “answer” by the final output layer is finished. While not dead-on, the network seems to return results better than anything we’ve seen before and as a by-product, it can also “dream.” These artificial dreams output some fascinating images to say the least, going from virtually nothing (white noise) to something’s that out of a surrealist painting. Who says computers can’t be creative?
It can reach 100 km/h (60 mph) in 2 seconds, it has a 700 horsepower engine, it weighs 90% less than traditional cars, it has less emissions and it’s 3D printed – it may very well be the car of the future. Despite technological developments, the automobile industry has remained relatively stagnant in the past few decades. Sure, you have