Using data, machine learning and AI, Alphabet managers are incubating vibrant new businesses in pharma and tech. One or more of these will become exciting stand-alone businesses.
This might seem a particularly bad time to be investing in big tech.
President Trump said Tuesday morning that his administration would look into accusations that Google has been secretly working with the Chinese military. The charge came from Peter Thiel, a PayPal (PYPL – Get Report) co-founder and strong supporter of the president.
On the other hand, Bloomberg reported Tuesday that DeepMind, the artificial-intelligence arm of Alphabet, (GOOGL – Get Report) might be on the cusp of a major breakthrough in the way new drugs are discovered.
It’s an important innovation. It’s hiding inside the search giant. And it couldn’t come at a better time.
This business is on to something really big. Using data, machine learning and AI, Alphabet managers are incubating vibrant new businesses with innovative business models. One or more of these will become exciting stand-alone businesses.
Some analysts are already doing sum-of-the-parts analyses and they like what they see.
A Jefferies analyst pegged the value of Waymo, Alphabet’s self-driving-car business, at $250 billion in December 2018, according to a story at Business Insider.
Alphabet’s market capitalization is $798 billion, with units including YouTube, Google Search, Google Cloud, Android, the Nest security camera and peripheral businesses, Google Capital, and Stadia, its new video game streaming service set to launch in November.
Together, these parts are probably worth well over $1 trillion.
Until now, the business opportunity for DeepMind was not even on investors’ radar.
The subsidiary has its roots in DeepMind Technologies, a British AI startup that was making progress teaching computers the quirks of human short-term memory. Alphabet acquired the business in 2014.
Two years later, its custom AlphaGo code was so advanced that it became the first computer program to defeat a human in a match of Go, the ancient Chinese strategy game. That human happened to be Lee Sedol, the 18-time world champion.
At the CASP13 meeting in Mexico in December 2018, DeepMind was at it again. This time its human challengers were the brightest minds in biology. The task was predicting the shapes of proteins.
Understanding these structures is important because they govern how diseases form. The problem is there are more possible protein shapes than there are atoms in the universe, Bloomberg notes.
The math has vexed computational biologists for the past 25 years. They have been trying to build more predictive software models for protein folding, the process that leads to proteins taking three-dimensional shapes.
Despite its limited experience with folding, AlphaFold, DeepMind’s entrant, predicted the most accurate structure for 25 out of 43 proteins, taking the top spot over 98 participating teams, according to a report in the Guardian.
Image Credit: Google AI
News This Week
What if you didn’t need surgery to implant a pacemaker on a faulty heart? What if you could control your blood sugar levels without an injection of insulin, or mitigate the onset of a [...]
Guided by artificial intelligence and powered by a robotic platform, a system developed by MIT researchers moves a step closer to automating the production of small molecules that could be used in medicine, solar [...]
Thin, flexible fibers made of carbon nanotubes have now proven able to bridge damaged heart tissues and deliver the electrical signals needed to keep those hearts beating. Scientists at Texas Heart Institute (THI) report they have [...]
The lab of Cheryl Kerfeld at Michigan State University has created a synthetic nano-sized factory, based on natural ones found in bacteria. This research could someday lead to new medical, industrial or bioenergy [...]
Melanoma in skin biopsy with H&E stain — this case may represent superficial spreading melanoma. Credit: Wikipedia/CC BY-SA 3.0 Researchers at Tel Aviv University have developed a novel nano-vaccine for melanoma, the most aggressive [...]
Modern light microscopic techniques provide extremely detailed insights into organs, but the terabytes of data they produce are usually nearly impossible to process. New software, developed by a team led by MDC scientist Dr. [...]
It has long been known that gold can be used to do things that philosophers have never even dreamed of. The Institute of Nuclear Physics of the Polish Academy of Sciences in Cracow has [...]
“We’ll have nanobots that… connect our neocortex to a synthetic neocortex in the cloud. Our thinking will be a…. biological and non-biological hybrid.” Ray Kurzweil, TED 2014 UPDATE - August 6 2019 Since [...]
DARPA has awarded funding to six organizations to support the Next-Generation Nonsurgical Neurotechnology (N3) program, first announced in March 2018. Battelle Memorial Institute, Carnegie Mellon University, Johns Hopkins University Applied Physics Laboratory, Palo Alto [...]
Source: Bold Business. Follow them on twitter. Though you may not realize it, more than 40,000 computer-brain interfaces have already been employed in healthcare today. Thus, to say computer-brain interfaces are something new would [...]
It is hard to imagine just how small one nanometer—one-billionth of a meter—really is. Ten hydrogen atoms in a row are one nanometer long. For perspective, consider that a sheet of paper is 75,000 [...]
Scientists at Ben-Gurion University of the Negev (BGU) have designed a new chip device that provides excellent identification of minuscule blood residues for forensic applications. Criminologists detect microscopic blood drops, as well as DNA, [...]