Posted in innovation
Learning more about the root causes of child death has unlocked new ways to save millions of lives.
Where innovations could save the lives of 2 million more mothers and babies by Melinda French Gates and Bill Gates.
Co-Chairs, Bill & Melinda Gates Foundation.
Today’s blog is from guest contributors Alaric Wilson, Senior ISV Partner Development Manager, and Michael Gillett, Partner Technology Strategy Manager.
In the era of AI, every app has the potential to be intelligent. Independent Software Vendors (ISVs) are facing increasing pressure from customers to deliver innovative solutions that meet their demands with a more dynamic user experience. To stay competitive, ISVs are turning to cutting-edge technologies like generative AI to unlock new possibilities for their software development process. Azure OpenAI Service, powered by OpenAI’s advanced language models, is revolutionizing how ISVs innovate, providing them with unprecedented capabilities to create intelligent, adaptive, and highly customized applications.
In today’s blog, we’re sharing recent resources and examples, to help ISV partners learn more about the opportunities to leverage generative AI on Azure OpenAI Service and fuel customers’ innovation efforts.
Researchers at the University of Chicago revealed groundbreaking developments in the field of infrared technology that could lead to cost-effective sensors soon.
Colloidal quantum dots— semiconductor nanocrystals dispersed in a liquid solution— emit various colors depending on their size and are prevalent in today’s gadgets.
Their efficiency, cost-effectiveness, and ease of manufacturing have made them popular in applications such as TVs, where visible light is the outcome.
Rob Tillman, CIO of Copy Chief, has 20+ years transforming businesses with a human-centric innovation model deployed across diverse sectors.
In today’s fast-paced digital age, the term “innovation” is frequently thrown around in boardrooms, tech conferences and startup pitches. It’s often hailed as the driving force behind progress and the competitive edge for businesses. But have we ever paused to truly understand what innovation means at its core?
It’s not just about creating groundbreaking technologies or pioneering novel solutions. At its heart, innovation is about empowering humans.
China’s ‘father of quantum’ Pan Jianwei and his team have been studying optical-lattice-based ultracold atomic systems since 2010.
Yet the automation of such tasks also means the chance to eliminate or reduce certain roles, not just in administration, but across many fields as the technology becomes more sophisticated. According to a survey of professionals by Thomson Reuters published last week, 67% of respondents believe AI will have a great impact on their profession in the next five years, while more than half predict the technology will create new career paths.
So exactly what are those new professional opportunities that the next generation of workers should be trying to pursue?
“There is no such thing as a future-proof career anymore,” says Dr Andrew Rogoyski, the director of innovation and partnerships at the Surrey Institute for People-Centred Artificial Intelligence at the University of Surrey.
This soft robot uses “physical intelligence” to navigate complicated surfaces without the need for human or computer intervention.
Engineers have developed a “brainless” soft robot that can effortlessly traverse difficult terrain.
This breakthrough comes from North Carolina State University researchers, who previously created a soft robot capable of navigating basic mazes without the need for human or computer intervention.
In a major breakthrough, scientists in Israel have created ‘artificial embryos’. They mimic all the features of a real human embryo. Will these embryos be used to create human life? Here’s what Priyanka Sharma has to say.
#artificialembroy #science #gravitas.
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In a major breakthrough, scientists have built a tool to predict the odour profile of a molecule, just based on its structure. It can identify molecules that look different but smell the same, as well as molecules that look very similar but smell totally different.
Professor Jane Parker, University of Reading, said: Vision research has wavelength, hearing research has frequency – both can be measured and assessed by instruments. But what about smell? We don’t currently have a way to measure or accurately predict the odour of a molecule, based on its molecular structure.
You can get so far with current knowledge of the molecular structure, but eventually you are faced with numerous exceptions where the odour and structure don’t match. This is what has stumped previous models of olfaction. The fantastic thing about this new ML generated model is that it correctly predicts the odour of those exceptions.
