Lifeboat Foundation

With the increasing demand for data science approaches and cognitive technologies across all industries, organizations are learning how to successfully implement and manage newer, more intelligent tools and systems. What are the challenges that enterprises encounter when adopting AI and ML models for their organizations, and how can teams work to overcome these obstacles?

At an upcoming Data for AI event, Anil Kumar, Executive Director — Head of AI Industrialization at Verizon will be sharing in particular the ways that Verizon has leveraged AI to overcome some of their key challenges. This past January, the Machine Learning Lifecycle 2021 Conference featured Radha Sankaran, Executive Director of Algorithmic Customer Experiences at Verizon Wireless, where she shared some insight into the current state of AI usage and its challenges, techniques, and impacts. At the upcoming Data for AI virtual event, Anil Kumar, also from Verizon Wireless, will be speaking more on his experiences.

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How will future AI systems make the most ethical choices for all of us?

Artificial intelligence is already making decisions in the fields of business, health care, and manufacturing. But AI algorithms generally still get help from people applying checks and making the final call.

What would happen if AI systems had to make independent decisions and ones that could mean life or death for humans?

Continue reading “Worried about AI ethics? Worry about developers’ ethics first” »

The AI algorithm is more efficient in distinguishing false positives from the real stuff than human experts.

A new artificial intelligence algorithm has discovered over 300 previously unknown exoplanets in data gathered by a now-defunct exoplanet-hunting telescope.

The Kepler Space Telescope, NASA’s first dedicated exoplanet hunter, has observed hundreds of thousands of stars in the search for potentially habitable worlds outside our solar system. The calatog of potential planets it had compiled continues generating new discoveries even after the telescope’s demise. Human experts analyze the data for signs of exoplanets. But a new algorithm called ExoMiner can now mimic that procedure and scour the catalog faster and more efficiently.

When people think of artificial intelligence, the images that often come to mind are of the sinister robots that populate the worlds of “The Terminator,” “i, Robot,” “Westworld,” and “Blade Runner.” For many years, fiction has told us that AI is often used for evil rather than for good.

But what we may not usually associate with AI is art and poetry — yet that’s exactly what Ai-Da, a highly realistic robot invented by Aidan Meller in Oxford, central England, spends her time creating. Ai-Da is the world’s first ultra-realistic humanoid robot artist, and on Friday she gave a public performance of poetry that she wrote using her algorithms in celebration of the great Italian poet Dante.

The recital took place at the University of Oxford’s renowned Ashmolean Museum as part of an exhibition marking the 700th anniversary of Dante’s death. Ai-Da’s poem was produced as a response to the poet’s epic “Divine Comedy” — which Ai-Da consumed in its entirety, allowing her to then use her algorithms to take inspiration from Dante’s speech patterns, and by using her own data bank of words, create her own work.

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Everything we do as living organisms is dependent, in some capacity, on time. The concept is so complex that scientists still argue whether it exists or if it is an illusion. In this video, astrophysicist Michelle Thaller, science educator Bill Nye, author James Gleick, and neuroscientist Dean Buonomano discuss how the human brain perceives of the passage of time, the idea in theoretical physics of time as a fourth dimension, and the theory that space and time are interwoven. Thaller illustrates Einstein’s theory of relativity, Buonomano outlines eternalism, and all the experts touch on issues of perception, definition, and experience. Check Dean Buonomano’s latest book Your Brain Is a Time Machine: The Neuroscience and Physics of Time at https://amzn.to/2GY1n1z.

Continue reading “Time: Do the past, present, and future exist all at once? | Big Think” »

Women constitute a mere 22 per cent or less than a quarter of professionals in the field of AI and Data Science.

There is a troubling and persistent absence of women when it comes to the field of artificial intelligence and data science. Women constitute a mere 22 per cent or less than a quarter of professionals in this field, as says the report “Where are the women? Mapping the gender job gap in AI,” from The Turing Institute. Yet, despite low participation and obstacles, women are breaking the silos and setting an example for players out in the field of AI.

To honour their commitment and work done, we have listed some of the women innovators and researchers who have worked tirelessly and contributed significantly to the field of AI and data science. The list below is provided in no particular order.

Continue reading “Women Innovators And Researchers Who Made A Difference In AI In 2021” »

Scientists have been able to trap antimatter particles using a combination of electric and magnetic fields. Antiprotons have been stored for over a year, while antimatter electrons have been stored for shorter periods of time, due to their lower mass. In 2011, researchers at CERN announced that they had stored antihydrogen for over 1,000 seconds.

While scientists have been able to store and manipulate small quantities of antimatter, they have not been able to answer why antimatter is so rare in the universe. According to Einstein’s famous equation E = mc², energy should convert into matter and antimatter in equal quantities. And, immediately after the Big Bang, there was a lot of energy. Accordingly, we should see as much antimatter as matter in our universe, and yet we don’t. This is a pressing unsolved mystery of modern physics.

Continue reading “Scientists Make Big Step Towards Making Antimatter Stand Still” »

To address the growing threat of cyberattacks on industrial control systems, a KAUST team including Fouzi Harrou, Wu Wang and led by Ying Sun has developed an improved method for detecting malicious intrusions.

Internet-based industrial control systems are widely used to monitor and operate factories and critical infrastructure. In the past, these systems relied on expensive dedicated networks; however, moving them online has made them cheaper and easier to access. But it has also made them more vulnerable to attack, a danger that is growing alongside the increasing adoption of internet of things (IoT) technology.

Conventional security solutions such as firewalls and antivirus software are not appropriate for protecting industrial control systems because of their distinct specifications. Their sheer complexity also makes it hard for even the best algorithms to pick out abnormal occurrences that might spell invasion.

Friends Lunch with a Member.

Topic: Negative Energy, Quantum Information and Causality.
Speaker: Adam Levine.
Date: November 19, 2021

Continue reading “Negative Energy, Quantum Information and Causality — Adam Levine” »