OLED is the future of flat screen displays, as they provide superior color reproduction, dynamic range, response-times, and energy efficiency, over LCD. The latest crop of OLED panels powering notebooks and desktop monitors, however, have a problem that wasn't as prevalent with OLED-based televisions—burn-in. This is what happens when an OLED panel displays a static image for too long, causing regions of the panel to permanently discolor. Some PC monitor makers are jumping in to offer extended warranties against burn-in to their customers, as they realize that they just sold an expensive, exotic piece of technology that could potentially degrade within- or not long after their standard warranty periods. Scientists at the University of Cambridge think they have found a breakthrough solution against OLED burn-in.

Scientists discovered that the main culprit behind OLED burn-in is the blue diode. The blue LED has been an elusive technology that only came into existence several decades after green and red. It's only with the arrival of the blue LED that white could be made, turning LED into mankind's primary lighting source, and eventually the OLED panel. Blue is a relatively higher energy diode, and uses more exotic GaN substrate. The Cambridge scientists discovered that jacketing the blue diode alkylene straps would cut down burn-in, and make the manufacturing process more efficient. They have published their method in the Nature magazine. Unfortunately, it will be a while before display manufacturers take an interest in the new method, and re-tool their OLED production lines to incorporate it—we imagine at least a couple of years.

Dell Technologies, Intel and the University of Cambridge announce the deployment of the co-designed Dawn Phase 1 supercomputer. Leading technical teams built the U.K.'s fastest AI supercomputer that harnesses the power of both artificial intelligence (AI) and high performance computing (HPC) to solve some of the world's most pressing challenges. This sets a clear way forward for future U.K. technology leadership and inward investment into the U.K. technology sector. Dawn kickstarts the recently launched U.K. AI Research Resource (AIRR), which will explore the viability of associated systems and architectures. Dawn brings the U.K. closer to reaching the compute threshold of a quintillion (1018) floating point operations per second - one exaflop, better known as exascale. For perspective: Every person on earth would have to make calculations 24 hours a day for more than four years to equal a second's worth of processing power in an exascale system.

"Dawn considerably strengthens the scientific and AI compute capability available in the U.K., and it's on the ground, operational today at the Cambridge Open Zettascale Lab. Dell PowerEdge XE9640 servers offer a no-compromises platform to host the Intel Data Center GPU Max Series accelerator, which opens up the ecosystem to choice through oneAPI. I'm very excited to see the sorts of early science this machine can deliver and continue to strengthen the Open Zettascale Lab partnership between Dell Technologies, Intel and the University of Cambridge, and further broaden that to the U.K. scientific and AI community," said Adam Roe, EMEA HPC technical director at Intel.

Scientific researchers need massive computational resources that can support exploration wherever it happens. Whether they're conducting groundbreaking pharmaceutical research, exploring alternative energy sources or discovering new ways to prevent financial fraud, accessible state-of-the-art AI computing resources are key to driving innovation. This new model of computing can solve the challenges of generative AI and power the next wave of innovation. Cambridge-1, a supercomputer NVIDIA launched in the U.K. during the pandemic, has powered discoveries from some of the country's top healthcare researchers. The system is now becoming part of NVIDIA DGX Cloud to accelerate the pace of scientific innovation and discovery - across almost every industry.

As a cloud-based resource, it will broaden access to AI supercomputing for researchers in climate science, autonomous machines, worker safety and other areas, delivered with the simplicity and speed of the cloud, ideally located for the U.K. and European access. DGX Cloud is a multinode AI training service that makes it possible for any enterprise to access leading-edge supercomputing resources from a browser. The original Cambridge-1 infrastructure included 80 NVIDIA DGX systems; now it will join with DGX Cloud, to allow customers access to world-class infrastructure.

Quantinuum is proud and excited to announce this significant step towards fault tolerant quantum computing. This achievement has been uniquely enabled by the release of Quantinuum's System Model H2 - the highest performing quantum computer ever built. The official launch of Quantinuum's H2 quantum processor, Powered by Honeywell, follows extensive pre-launch work with a variety of global partners and was essential to the controlled creation and manipulation of non-Abelian anyons. The precise control of non-Abelian anyons has been long held as the path to using topological qubits for a fault tolerant quantum computer.

Tony Uttley, President and COO of Quantinuum, stated "With our second-generation system, we are entering a new phase of quantum computing. H2 highlights the opportunity to achieve valuable outcomes that are only possible with a quantum computer. The development of the H2 processor is also a critical step in moving towards universal fault tolerant quantum computing." He added "This demonstration is a beautiful proof point in the power of our H-Series hardware roadmap and reinforces our primary purpose which is to enable our customers to tackle problems that were previously beyond the reach of classical computers. The implications for society are significant and we are excited to see how this technology truly changes the world."

The two leading companies in the quantum computing industry have combined to create Quantinuum, thereby accelerating the development of quantum computing and innovation of quantum technologies in a platform agnostic manner to deliver real-world quantum-enabled solutions for some of the most intractable problems that classical computers have not been able to solve.

Cambridge Quantum, the pioneer in quantum software, operating systems, and cybersecurity, and Honeywell Quantum Solutions, which has built the highest-performing quantum hardware, based on trapped-ion technologies, today announced they have satisfied all of the conditions required to close the business combination and formed the new company, now called Quantinuum.

The 58th annual edition of the TOP500 saw little change in the Top10. The Microsoft Azure system called Voyager-EUS2 was the only machine to shake up the top spots, claiming No. 10. Based on an AMD EPYC processor with 48 cores and 2.45GHz working together with an NVIDIA A100 GPU and 80 GB of memory, Voyager-EUS2 also utilizes a Mellanox HDR Infiniband for data transfer.

While there were no other changes to the positions of the systems in the Top10, Perlmutter at NERSC improved its performance to 70.9 Pflop/s. Housed at the Lawrence Berkeley National Laboratory, Perlmutter's increased performance couldn't move it from its previously held No. 5 spot.

NVIDIA (NASDAQ: NVDA) today reported record revenue for the second quarter ended August 1, 2021, of $6.51 billion, up 68 percent from a year earlier and up 15 percent from the previous quarter, with record revenue from the company's Gaming, Data Center and Professional Visualization platforms. GAAP earnings per diluted share for the quarter were $0.94, up 276 percent from a year ago and up 24 percent from the previous quarter. Non-GAAP earnings per diluted share were $1.04, up 89 percent from a year ago and up 14 percent from the previous quarter.

"NVIDIA's pioneering work in accelerated computing continues to advance graphics, scientific computing and AI," said Jensen Huang, founder and CEO of NVIDIA. "Enabled by the NVIDIA platform, developers are creating the most impactful technologies of our time - from natural language understanding and recommender systems, to autonomous vehicles and logistic centers, to digital biology and climate science, to metaverse worlds that obey the laws of physics.

NVIDIA today officially launched Cambridge-1, the United Kingdom's most powerful supercomputer, which will enable top scientists and healthcare experts to use the powerful combination of AI and simulation to accelerate the digital biology revolution and bolster the country's world-leading life sciences industry. Dedicated to advancing healthcare, Cambridge-1 represents a $100 million investment by NVIDIA. Its first projects with AstraZeneca, GSK, Guy's and St Thomas' NHS Foundation Trust, King's College London and Oxford Nanopore Technologies include developing a deeper understanding of brain diseases like dementia, using AI to design new drugs and improving the accuracy of finding disease-causing variations in human genomes.

Cambridge-1 brings together decades of NVIDIA's work in accelerated computing, AI and life sciences, where NVIDIA Clara and AI frameworks are optimized to take advantage of the entire system for large-scale research. An NVIDIA DGX SuperPOD supercomputing cluster, it ranks among the world's top 50 fastest computers and is powered by 100 percent renewable energy.

NVIDIA, the maker of high-performance GPUs, has yesterday announced that the company will be investing at least 100 million US Dollars into UK's most powerful supercomputer. Back in October of 2020, NVIDIA announced that it will be building a supercomputer in Cambridge, UK, that will be called Cambridge-1. However, the original plan suggested that the investment would amount to around 40 million GBP, which is roughly 55.6 million USD. Now, it seems that NVIDIA is doubling the initial investment plan and the company now wants to invest 100 million USD, just at the initial phase, which would mean that the total budget could be much greater.

As the company is facing difficulties in the process of acquiring Arm Ltd. from Softbank, by building the most powerful supercomputer in the UK, it hopes to show its commitment to growing UK's Arm operations. And more specifically, it is building the Cambridge-1 in the same place as Arm's HQ, which is also Cambridge. In terms of technologies that will end up in this supercomputer, we are still not supplied with exact information, however, we can expect it to combine the latest CPU, GPU, and networking technologies into one powerful machine.

HDD manufacturers have tirelessly worked to reinvent the spinning drive technology (and sometimes topology) with increased storage density capabilities (potentiated by the development of technologies such as HAMR (Heat Assisted Magnetic Recording) and MAMR (Microwave Assisted Magnetic Recording). Researchers with the Cambridge Graphene Centre have collaborated with the University of Exeter, India, Switzerland, Singapore and the US to showcase how much life there might still exist in HDDs - if only graphene were to be used.

The research shows how a single graphene layer (researchers tested up to four layers) can be used as a replacement for multiple layers of carbon-based overcoats (COCs), which are deployed on platters to protect them from mechanical damages and corrosion. Current COC thickness stands at only 3 nm, but any existing space between platters presents a bottleneck to the number of platters (and thus storage density) that can be achieved in the HDD world. The researchers demonstrated that graphene enables a two-fold reduction in friction and provides better corrosion and wear protection than current state-of-the-art solutions. In fact, one single graphene layer reduces corrosion by 2.5 times. The researchers further demonstrated that graphene can still be deployed as protective layers in HAMR-totting HDDs - a feat that current carbon-based overcoats can't reproduce, as they fail at the high temperatures arising from the heat-assisted recording. Just one more feather on graphene's utility cap.