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China Mobile on Saturday launched the largest quantum cloud computing platform in China along with China Electronics Technology Group Corp (CETGC), vowing to take quantum computing to a new level of practical use.
As the country’s most recent computing platform, it achieved hybrid computing of both quantum and general computing power for the first time in the industry, China Mobile said in a statement.
The platform was unveiled at the 2023 China Computational Conference in Yinchuan, Northwest China’s Ningxia Hui Autonomous Region.
With CETGC’s ability to self-design and build 20-qubit quantum computing chips, the platform is linked with advanced 20-qubit quantum computers, giving its users an open quantum fusion computing power testing environment.
Our guest contributor for today’s blog is Amy Boyle, Director of Commercial and Advisory Partner Enablement.
As Microsoft and our partners find innovative ways to push the capabilities of advanced technologies, the need for IT employees with updated skills remains. Organizations across the industry are having difficulty finding employees with expertise on the latest platforms.
During this year’s Microsoft Inspire event, leaders from our partners TCS and Kyndryl talked about how training employees is fueling growth within their companies and the industry as a whole. Working together, Microsoft, TCS, and Kyndryl are making skills development on Microsoft Cloud and other platforms more accessible and adding to community development through job creation.
DeepMind cofounder Mustafa Suleyman wants to build a chatbot that does a whole lot more than chat. In a recent conversation I had with him, he told me that generative AI is just a phase. What’s next is interactive AI: bots that can carry out tasks you set for them by calling on other software and other people to get stuff done. He also calls for robust regulation —and doesn’t think that’ll be hard to achieve.
Suleyman is not the only one talking up a future filled with ever more autonomous software. But unlike most people he has a new billion-dollar company, Inflection, with a roster of top-tier talent plucked from DeepMind, Meta, and OpenAI, and—thanks to a deal with Nvidia—one of the biggest stockpiles of specialized AI hardware in the world. Suleyman has put his money—which he tells me he both isn’t interested in and wants to make more of—where his mouth is.
The US military and its contractors would be exempt.
Robots that are autonomous or semi-autonomous and carry weapons or offensive capabilities are often called armed robots. These robots can be employed in a variety of settings, including the military, law enforcement, industry, and security.
Today, many armed robots are controlled remotely by human operators who can keep a safe distance between themselves and the devices. This is particularly prevalent with military drones, as the operators control the aircraft and its weaponry from a distance, making the machines even more dangerous to civilians.
There are continuous efforts to establish rules and laws controlling the deployment of armed robots in order to reduce the risks involved. Now, one US state is trying to outlaw them altogether.
This is according to a press statement by the American Civil Liberties Union (ACLU) published on Wednesday.
A group of Massachusetts legislators, human rights organizations, and executives from the robotics sector are joining forces to support legislation that would make arming robots, as well as drones and other uncrewed devices, illegal.
Capturing blur-free images of fast movements like falling water droplets or molecular interactions requires expensive ultrafast cameras that acquire millions of images per second. In a new paper, researchers report a camera that could offer a much less expensive way to achieve ultrafast imaging for a wide range of applications such as real-time monitoring of drug delivery or high-speed lidar systems for autonomous driving.
“Our camera uses a completely new method to achieve high-speed imaging,” said Jinyang Liang from the Institut national de la recherche scientifique (INRS) in Canada. “It has an imaging speed and spatial resolution similar to commercial high-speed cameras but uses off-the-shelf components that would likely cost less than a tenth of today’s ultrafast cameras, which can start at close to $100,000.”
In a paper, titled “Diffraction-gated real-time ultrahigh-speed mapping photography” appearing in Optica, Liang together with collaborators from Concordia University in Canada and Meta Platforms Inc. show that their new diffraction-gated real-time ultrahigh-speed mapping (DRUM) camera can capture a dynamic event in a single exposure at 4.8 million frames per second. They demonstrate this capability by imaging the fast dynamics of femtosecond laser pulses interacting with liquid and laser ablation in biological samples.