ALERT: RansomHub, a rebranded Knight ransomware, targets healthcare and major entities.
Using legitimate remote desktop tools and recruiting from shutdown groups, it shows evolving cybercriminal tactics.
Currently, computing technologies are rapidly evolving and reshaping how we imagine the future. Quantum computing is taking its first toddling steps toward delivering practical results that promise unprecedented abilities. Meanwhile, artificial intelligence remains in public conversation as it’s used for everything from writing business emails to generating bespoke images or songs from text prompts to producing deep fakes.
Some physicists are exploring the opportunities that arise when the power of machine learning — a widely used approach in AI research—is brought to bear on quantum physics. Machine learning may accelerate quantum research and provide insights into quantum technologies, and quantum phenomena present formidable challenges that researchers can use to test the bounds of machine learning.
When studying quantum physics or its applications (including the development of quantum computers), researchers often rely on a detailed description of many interacting quantum particles. But the very features that make quantum computing potentially powerful also make quantum systems difficult to describe using current computers. In some instances, machine learning has produced descriptions that capture the most significant features of quantum systems while ignoring less relevant details—efficiently providing useful approximations.
Proud Moment! India Makes History Launches World’s First 3D-Printed #RocketEngine | Space Technology.
#DNAVideos | #India | #Rocket | #SpaceTechnology.
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How can rapidly emerging #AI develop into a trustworthy, equitable force? Proactive policies and smart governance, says Salesforce.
These initial steps ignited AI policy conversations amid the acceleration of innovation and technological change. Just as personal computing democratized internet access and coding accessibility, fueling more technology creation, AI is the latest catalyst poised to unlock future innovations at an unprecedented pace. But with such powerful capabilities comes large responsibility: We must prioritize policies that allow us to harness its power while protecting against harm. To do so effectively, we must acknowledge and address the differences between enterprise and consumer AI.
Enterprise versus consumer AI
Continue reading “How AI is poised to unlock innovations at unprecedented pace” »
Our guest in this episode is Dr. Mark Kotter. Mark is a neurosurgeon, stem cell biologist, and founder or co-founder of three biotech start-up companies that have collectively raised hundreds of millions of pounds: bit.bio, clock.bio, and Meatable.
In addition, Mark still conducts neurosurgeries on patients weekly at the University of Cambridge.
Small businesses are an important part of society and AI is becoming just as important. Here is how artificial intelligence can help them.
Championing an aerospace renaissance — elizabeth reynolds, managing director, US, starburst aerospace.
Elizabeth Reynolds is Managing Director, US of Starburst Aerospace (https://starburst.aero/), a global Aerospace and Defense (A\&D) startup accelerator and strategic advisory practice championing today’s aerospace renaissance, aligning early-stage technology innovators with government and commercial stakeholders and investors to modernize infrastructure in space, transportation, communications, and intelligence.
This video explores the 4th to the 10th dimensions of time. Watch this next video about the 10 stages of AI: • The 10 Stages of Artificial Intelligence.
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Continue reading “What If We Accessed The 10th Dimension?” »
A secure method for cloud-based quantum computing harnesses the power of quantum physics to keep data confidential.
Progress in quantum technology has been swift, but we still are far from the day when everyone will have a quantum computer in their house or at their business. The early stages of quantum computing will likely rely on a quantum version of the “cloud,” where users send data and computing tasks to a state-of-the-art quantum machine hosted by Google, IBM, or another company. But is that approach secure? It can be, thanks to the impenetrable secrecy of quantum-based protocols. A recent experiment demonstrates a version of “blind quantum computing” using trapped ions [1]. The protocol is scalable, meaning it offers potential to be incorporated into larger and larger quantum computing systems.
Quantum computers have the potential to be game changers in computationally intensive tasks such as drug discovery and material design. In these highly competitive sectors, there would be concerns about using a cloud-based quantum computer. “A company searching for a new wonder drug or for a high-performance battery material wouldn’t want to reveal confidential secrets,” explains Peter Drmota of the University of Oxford. However, it has been shown—in theory—that one can perform computations on a remote quantum computer while hiding the data and the operations done on such data. “Blind quantum computing could give a client confidence to use whoever’s quantum computer,” Drmota says.
