Artificial intelligence Algorithms with all supercomputers in a grid to speed up vaccine for corona -That is my dream hope somebody is doing it already or start it
1 day ago - Now, medical technologists from Japan have come up with an innovative solution for ventilators, which can be manufactured in local conditions ...
It seems we're quite close to the first really useful quantum computer
PsiQuantum, a 5-year-old startup, says it’s well on its way to creating a commercial quantum machine. It has raised $215 million to build a computer with 1 million qubits within “a handful of years,” CEO Jeremy O’Brien tells Bloomberg Businessweek.
Mar 6, 2020 - The British AI start-up, owned by Google's parent company Alphabet, ... can take months but the use of machine learning could speed up that ... Scientists racing to create a potent vaccine against the virus need as ... It comes as the number of cases of coronavirus across the world ... Use our tool to find out ...
Mar 23, 2020 - How AI can help develop a drug to treat coronavirus ... In recent weeks, researchers at London-based BenevolentAI have been ... The likes of Sanofi, the French pharmaceutical giant, are now rolling out clinical trials for Covid-19 ... "The opportunity for AI to speed up the discovery of vaccines, drugs and ...
Mar 21, 2020 - AI is speeding up drug research. At the end of the day, the war on the novel coronavirus is not over until we develop a vaccine that can immunize ...
Mar 17, 2020 - Naturally, some believe that artificial intelligence may help. ... drugs, to the genetic properties of the virus and efforts to develop vaccines. ... The hope is that AI will accelerate insights into the novel coronavirus by ... publishers to open up research on the coronavirus, a number of big ... Require Opt-Out.
Mar 16, 2020 - Artificial intelligence can see "signals" in data earlier than humans, says the ... and researchers are speeding to discover, test and deploy a vaccine. ... we're we're kind of woefully unprepared for these novel viruses that come up, ... I think people will say there's a lot of opportunity here to figure out these ...
Mar 27, 2020 - The technology is being used to speed up the development of testing kits and ... AI experts to develop new data mining techniques that can help the scientific ... “We need to come together as companies, governments, and scientists ... drugs that could be used to treat coronavirus patients before a vaccine ... ............................................................................................................................
Mar 20, 2020 - This could help scientists create the most effective vaccine. ... The speed at which the virus spreads means they must accelerate their research.
Mar 24, 2020 - The consortium will be using an "unprecedented amount of computing power" to look at finding new COVID-19 treatments and ultimately vaccines ...
Mar 22, 2020 - ... at least 16 supercomputers to help speed the discovery of vaccines and ... will allow approved researchers to use powerful computing ... The announcement comes as health-care and government officials ... out, it has been downloaded over 18,000 times by researchers who ... Speed Up Your Home Wi-Fi.
Mar 14, 2020 - Scientists are using IBM's Summit, the world's fastest supercomputer, to help find promising candidate drugs to fight the coronavirus epidemic. ... Using the computer's muscle, researchers digitally simulated how 8,000 different ... GPUs can carry out more simultaneous operations than a CPU can, so leaning ...
Mar 27, 2020 - The announcement of this consortium comes on the coattails of the ... entire research community is ready, willing and eager to help assist ... Researchers can apply for access to the computers to run AI-assisted ... Another supercomputer collective that is taking on COVID-19 is the ... E-Newsletter Sign-up.
Mar 17, 2020 - Supercomputer-aided development of possible antiviral therapies, rapid lab ... and grants to develop new vaccine technologies: Coronavirus responses such as ... protein spikes on the outside of the virus make it look like the sun's corona. ... “Because we've seen what can come of similar co-operation and ...
Want
to figure out if a technology innovation is a game changer? Often you
need look no further than how we talk about it. In particular, look for
terms that convey an absence of something.
Words of negation early in the life of an innovation suggest that it is radically different than what’s come before. The first automobiles were called “horseless carriages.” Not long
after came radio, or “the wireless”—music and speech in your home, from a
box with no wires! That term of negation was revived in the early days
of mobile for “wireless phones” before phones were “smart.” As I wrote elsewhere,
creating a description from negation says something important—that the
innovation is so different from what we know that we can only describe
it by what it’s missing. It’s only as we become familiar with a new
innovation that we begin to develop a more extensive and descriptive
lexicon for it. By focusing only on a feature that’s being left behind (sorry,
horse), the language of negation suggests the most dramatic of changes.
This is special to me because today’s most important technological
innovation, cloud computing, is rich in negation language. “Cloud” itself suggests that all the computing infrastructure has
disappeared into thin air. That’s odd, when you consider that building
out clouds is one of history’s larger infrastructure projects, involving
hundreds of billions of dollars in cloud computer servers, trenched and
undersea cables, and facilities around the world. Salesforce, an early company in the cloud, tried to negate the idea of software by using a logo
composed of the word “software” with a big line through it. This
presumably referred to physical instances of packaged software, which
was transitioning to a model of renting software as an online service.
The company currently has a market capitalization of $165 billion,
largely based on software. Cloud computer servers spin up “virtual machines,” as if the extra work the servers gain by doing the work of two or more operating systems has no physical basis. Google App Engine,
launched in 2008, made it possible to deploy and operate programs
without provisioning and patching. This was the basis for what we now
call “serverless computing,” a more comprehensive automated deployment in Google Cloud Functions or AWS Lambda. Servers are still very much there, it’s just that customers don’t have to provision and maintain them. Then there’s “NoOps,” first posited in 2011
by Forrester Research. It means that much of the operational work done
to keep computers going is also automated, or taken over by cloud
computing companies. In fact, operations people have tweaked their
roles, taking over more business-oriented jobs like monitoring the net
spend on tech. A more recent example is “no-code development,” or deploying programs
to the cloud without seeming to code software. This is done by
AppSheet, a company acquired by Google last month. As this AppSheet video
shows, using this technology, it’s possible to turn items on a
spreadsheet into dynamic elements of a shared mobile app, adding images
and information that’s reflected in both the mobile app and the
spreadsheet.
Yes, it’s possible to create a software application without knowing
any software language. Does this mean there’s no code? On one level,
yes. Formerly unqualified people are creating software. On another, no.
There is a lot of complex software coding going on behind the scenes to
make the act of coding possible for ordinary mortals. That is the very big thought behind the “no-code” name: Now millions
more people, anyone who can operate a spreadsheet, are potential coders.
That suggests an explosion of enterprise software and attendant data,
which is most likely to grow in instances and sophistication. When this has happened before in the consumer world, it’s been a very big deal. The ease with which information can be added to online maps
greatly increased their utility, building up businesses like online
reservations, food delivery, and travel. Even more popular, easy-to-use blogging tools first created a publishing revolution, then inspired services like Twitter and Instagram. Imagine something like that coming to enterprise software. “No-code”
may sound like nothing, but, like all the other negations, it’s really
something. Get more perspective on the future of cloud computing, and what it means for businesses.