For almost a year I have shared how Quantum technology will take AI to a new level. This article highlights the benefits of Quantum in AI.
Scott Crowder of IBM discusses the technologies and data infrastructure that will be required to drive the cognitive computing and artificial intelligence systems of the near future.
Many recent big technological advances in computing, communications, energy, and biology have relied on nanoparticles. It can be hard to determine the best nanomaterials for these applications, however, because observing nanoparticles in action requires high spatial resolution in “messy,” dynamic environments.
In a recent step in this direction, a team of engineers has obtained a first look inside phase-changing nanoparticles, showing how their shape and crystallinity—the arrangement of atoms within the crystal—can have dramatic effects on their performance.
The work, which appears in Nature Materials, has immediate applications in the design of energy storage materials, but could eventually find its way into data storage, electronic switches, and any device in which the phase transformation of a material regulates its performance.
Researchers at Rice University are working on self-assembling wires that can move matter, essentially “force fields” powered by Tesla coils.
They’ve been working “very quietly,” said adjunct assistant professor Paul Cherukuri. He describes the project, which incorporates Tesla coils and nano-scale filaments, as “self-assembly at a distance.” The project started when the researchers were working with nanotubes, just seeing what they could do when pairing the coils with the electrification from Tesla coils.
HANOVER, N.H., April 26 (UPI) — Proteins are the contractors of the nanoscale natural world, assembling and building at the atomic, molecular and cellular levels. Increasingly, materials scientists are working to harness that power.
Recently, researchers at Dartmouth College created protein capable of crafting buckyball molecules. “Buckyball” is a nickname for buckminsterfullerene molecules, a soccer ball-shaped molecule of 60 carbon atoms.
The newly synthesized protein organizes buckyballs into a periodic lattice — a wall of buckyballs.
Good article overall highlighting the gaps in AI talent. I do know that some of the best AI SMEs in the US all have worked somewhere in their careers at the US National Labs because many us had to build “real time” systems that leveraged complex algorithms to self-monitor conditions and react independently under certain conditions arise and in some cases we leveraged the super computer to prove theories as well. I suggest locate where some of these folks exist because you will find your talent pool.
Artificial Intelligence is the field where jobs continue to grow, provided you have the desired skill sets
Diksha Gupta, Techgig.com
Artificial intelligence (AI) is the buzzword in almost all industries. Decision-makers want to make use of massive data they get from various sources. This is where data analytics and artificial intelligence come into play.
China continues to accelerate its bid to grab the initiative in 21st-century robotics and artificial intelligence development as the next emerging global powerhouse. Small wonder that the world’s leading manufacturing giant has already raced past the rest of the world as a major user of robots.
According to the China Robot Industry Alliance, the country is already a flourishing hub for consumer robotics and is poised for a radical transition from its human-based workforce to an automated Artificial Intelligence or AI-based alternative. Its recent unveiling of the incredibly adept and efficient personal robot BIG-i is a pertinent example. Dubbed “butler,” this humanoid is primarily a service robot with the programmed ability to aid homeowners in the performance of a wide variety of household errands. It can easily track the location of various household appliances and transport items from one point to the next by employing its claw-like mechanical hands.
[Image via Shutterstock]BIG-i was designed by Dr. Tin Lun Lam, a research fellow at the Chinese University of Hong Kong who had previously designed the “Treebot,” the first biologically inspired tree-climbing robot equipped with a highly advanced maneuvering mechanism.
Nice
Quantum computers have been hailed for their revolutionary potential in everything from space exploration to cancer treatment, so it might not come as a surprise that Europe is betting big on the ultra-powerful machines.
A new €1 billion ($1.13 billion) project has been announced by the European Commission aimed at developing quantum technologies over the next 10 years and placing Europe at the forefront of “the second quantum revolution.”
The Quantum Flagship announced will be similar in size, time scale and ambition as the EC’s other ongoing Flagship projects: the Graphene Flagship and the Human Brain Project. As well as quantum computers, the initiative will aim to address other aspects of quantum technologies, including quantum secure communication, quantum sensing and quantum simulation.
A new method to create light while retaining the energy using Q-Dot technology.
All light sources work by absorbing energy – for example, from an electric current – and emit energy as light. But the energy can also be lost as heat and it is therefore important that the light sources emit the light as quickly as possible, before the energy is lost as heat. Superfast light sources can be used, for example, in laser lights, LED lights and in single-photon light sources for quantum technology. New research results from the Niels Bohr Institute show that light sources can be made much faster by using a principle that was predicted theoretically in 1954. The results are published in the scientific journal, Physical Review Letters.
Researchers at the Niels Bohr Institute are working with quantum dots, which are a kind of artificial atom that can be incorporated into optical chips. In a quantum dot, an electron can be excited (i.e. jump up), for example, by shining a light on it with a laser and the electron leaves a ‘hole’. The stronger the interaction between light and matter, the faster the electron decays back into the hole and the faster the light is emitted.
But the interaction between light and matter is naturally very weak and it makes the light sources very slow to emit light and this can reduce energy efficiency. Already in 1954, the physicist Robert Dicke predicted that the interaction between light and matter could be increased by having a number of atoms that ‘share’ the excited state in a quantum superposition.
