Lifeboat Foundation: Safeguarding Humanity
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Vincent Danen is the Vice President of Product Security at Red Hat.

Cyber threats are an everyday reality. Attackers exploit the unwitting, stealing confidential and sensitive information through online scam campaigns. Data breach prevention is only as strong as the weakest link, and, in most cases, that link is human. As I mentioned in a previous article, it is reported that 74% of data breaches are caused by human error.

According to a 2020 FBI report, there was a 400% spike in cyberattacks during the Covid-19 pandemic. The human element is a significant vulnerability in cybersecurity, often overlooked in favor of technological solutions. Many organizations focus on addressing software vulnerabilities when employees remain the weakest link in the organization’s security program. Even the most secure software, with all vendor security patches applied, is in danger if the human aspect of risk management is neglected.

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Hamilton-Jacobi (HJ) reachability is a rigorous mathematical framework that enables robots to simultaneously detect unsafe states and generate actions that prevent future failures. While in theory, HJ reachability can synthesize safe controllers for nonlinear systems and nonconvex constraints.

In practice, it has been limited to hand-engineered collision

Avoidance constraints modeled via low-dimensional state-space representations and first-principles dynamics. In this work, our goal is to generalize safe robot controllers to prevent failures that are hard—if not impossible—to write down by hand, but can be intuitively identified from high-dimensional observations:

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Quantum computing represents a paradigm shift in computation with the potential to revolutionize scientific discovery and technological innovation. This seminar will examine the roadmap for constructing quantum supercomputers, emphasizing the integration of quantum processors with traditional high-performance computing (HPC) systems. The seminar will be led by prominent experts Prof. John Martinis (Qolab), Dr. Masoud Mohseni (HPE), and Dr. Yonatan Cohen (Quantum Machines), who will discuss the critical hurdles and opportunities in scaling quantum computing, drawing upon their latest research publication, “How to Build a Quantum Supercomputer: Scaling Challenges and Opportunities”

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Rice University researchers have revealed novel sequence-structure-property relationships for customizing engineered living materials (ELMs), enabling more precise control over their structure and how they respond to deformation forces like stretching or compression.

The study, published in a special issue of ACS Synthetic Biology, focuses on altering protein matrices, which are the networks of proteins that provide structure to ELMs. By introducing small genetic changes, the team discovered they could make a substantial difference in how these materials behaved. These findings could open doors for advancements in tissue engineering, drug delivery and even 3D printing of living devices.

“We are engineering cells to create customizable materials with unique properties,” said Caroline Ajo-Franklin, professor of biosciences and the study’s corresponding author. “While synthetic biology has given us tools to tweak these properties, the connection between genetic sequence, material structure and behavior has been largely unexplored until now.”

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What began as a demonstration of the complexity of fluid systems evolved into an art piece in the American Physical Society’s Gallery of Fluid Motion and ultimately became a puzzle that researchers have now solved.

Their new study is published in the journal Physical Review Letters

<em> Physical Review Letters (PRL)</em> is a prestigious peer-reviewed scientific journal published by the American Physical Society. Launched in 1958, it is renowned for its swift publication of short reports on significant fundamental research in all fields of physics. PRL serves as a venue for researchers to quickly share groundbreaking and innovative findings that can potentially shift or enhance understanding in areas such as particle physics, quantum mechanics, relativity, and condensed matter physics. The journal is highly regarded in the scientific community for its rigorous peer review process and its focus on high-impact papers that often provide foundational insights within the field of physics.

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In today’s AI news, Google launched its much-anticipated new flagship AI model, Gemini 2.0 Pro Experimental, on Wednesday. The announcement was part of a series of other AI model releases. The company is also making its reasoning model, Gemini 2.0 Flash Thinking, available in the Gemini app.

In other advancements, LinkedIn is testing a new job-hunting tool that uses a custom large language model to comb through huge quantities of data to help people find prospective roles. The company believes that artificial intelligence will help users unearth new roles they might have missed in the typical search process.

S Deep Research feature, which can autonomously browse the web and create research reports. ‘ + s up from hitting $50 million ARR, or the yearly value of last month s case for why they are the best positioned to take over TikTok And, in this episode, a16z Partner Marc Andrusko chats with Mastercard’s Chief AI and Data Officer Greg Ulrich about Mastercard’s long history of using AI, the opportunities (and potential risks) associated with integrating generative AI into fraud detection, determining what tech to employ based on use cases, and the best advice he’s ever gotten.

Then, power your AI transformation with an insightful keynote from Scott Guthrie, Executive Vice President, Cloud + AI Group at Microsoft, and other industry experts. Watch this keynote presentation from NYC stop on Microsoft’s AI Tour.

We close out with this insightful discussion with Malcolm Gladwell and Ric Lewis, SVP of Infrastructure at IBM. Learn how hardware capabilities enable the matrix math behind large language models and how AI is transforming industries—from banking to your local coffee shop.

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