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Paige Announces Collaboration with Microsoft to Build the World’s Largest Image-Based AI Model to Fight Cancer

NEW YORK—()— Paige, a technology disruptor in healthcare, has joined forces with Microsoft in the fight against cancer, making headway in their collaboration to transform cancer diagnosis and patient care by building the world’s largest image-based artificial intelligence (AI) models for digital pathology and oncology.

“Unleashing the power of AI is a game changer in advancing healthcare to improve lives.” Tweet this

Paige, a global leader in end-to-end digital pathology solutions and clinical AI, developed the first Large Foundation Model using over one billion images from half a million pathology slides across multiple cancer types. Paige is developing with Microsoft a new AI model that is orders-of-magnitude larger than any other image-based AI model existing today, configured with billions of parameters. This model assists in capturing the subtle complexities of cancer and serves as the cornerstone for the next generation of clinical applications and computational biomarkers that push the boundaries of oncology and pathology.

AI and the New Digital Cold War

Globalization is not dead, but it is changing. The United States and China are creating two separate spheres for technology, and artificial intelligence is on the front lines of this new “Digital Cold War.” If democracies want to succeed in this new era of “re-globalization” they will need to coordinate across governments and between the private and public sectors. AI is coming, whether we like it or not. We are at a fork in the road and all segments of society will need to pitch in to build AI systems that contribute to a just and democratic future where humans can thrive.

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Companies and countries need to prioritize collaboration and transformation over competition and disruption.

China iPhone Ban: Government Seeks to Add State Agencies, Firms

China plans to broaden a ban on the use of iPhones in sensitive departments to state companies and government-backed agencies. Tom Mackenzie reports on Bloomberg Television.
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AI builds momentum for smarter health care

The pharmaceutical industry operates under one of the highest failure rates of any business sector. The success rate for drug candidates entering capital Phase 1 trials—the earliest type of clinical testing, which can take 6 to 7 years —is anywhere between 9% and 12%, depending on the year, with costs to bring a drug from discovery to market ranging from $1.5 billion to $2.5 billion, according to Science.

We’re All Programmers Now

Generative AI and other easy-to-use software tools can help employees with no coding background become adept programmers, or what the authors call citizen developers. By simply describing what they want in a prompt, citizen developers can collaborate with these tools to build entire applications—a process that until recently would have required advanced programming fluency.

Information technology has historically involved builders (IT professionals) and users (all other employees), with users being relatively powerless operators of the technology. That way of working often means IT professionals struggle to meet demand in a timely fashion, and communication problems arise among technical experts, business leaders, and application users.

Citizen development raises a critical question about the ultimate fate of IT organizations. How will they facilitate and safeguard the process without placing too many obstacles in its path? To reject its benefits is impractical, but to manage it carelessly may be worse. In this article the authors share a road map for successfully introducing citizen development to your employees.

North Korean hackers have allegedly stolen hundreds of millions in crypto to fund nuclear programs

North Korea-linked hackers have stolen hundreds of millions of crypto to fund the regime’s nuclear weapons programs, research shows.

So far this year, from January to Aug. 18, North Korea-affiliated hackers stole $200 million worth of crypto — accounting for over 20% of all stolen crypto this year, according to blockchain intelligence firm TRM Labs.

“In recent years, there has been a marked rise in the size and scale of cyber attacks against cryptocurrency-related businesses by North Korea. This has coincided with an apparent acceleration in the country’s nuclear and ballistic missile programs,” said TRM Labs in a June discussion with North Korea experts.

Huawei Teardown Reveals China Chip Breakthrough

Huawei and China’s top chipmaker have built an advanced 7-nanometer processor to power its latest smartphone, a sign Beijing is making early progress in a nationwide push to circumvent US efforts to contain its ascent. Peter Elstrom reports on Bloomberg Television.
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Legal Liability for Insecure Software Might Work, but It’s Dangerous

Ensuring security in the software market is undeniably crucial, but it is important to strike a balance that avoids excessive government regulation and the burdens associated with government-mandated legal responsibility, also called a liability regime. While there’s no question the market is broken with regards to security, and intervention is necessary, there is a less intrusive approach that enables the market to find the right level of security while minimizing the need for heavy-handed government involvement.

Imposing a liability regime on software companies may go too far and create unintended consequences. The downsides of liability, such as increased costs, potential legal battles, and disincentives to innovation, can hinder the development of secure software without necessarily guaranteeing improved security outcomes. A liability regime could also burden smaller companies disproportionately and stifle the diversity and innovation present in the software industry.

Instead, a more effective approach involves influencing the software market through measures that encourage transparency and informed decision-making. By requiring companies to be fully transparent about their security practices, consumers and businesses can make informed choices based on their risk preferences. Transparency allows the market to drive the demand for secure software, enabling companies with robust security measures to potentially gain a competitive edge.

A ‘people-first’ view of the AI economy

Today marks nine months since ChatGPT was released, and six weeks since we announced our AI Start seed fund. Based on our conversations with scores of inception and early-stage AI founders, and hundreds of leading CXOs (chief experience officers), I can attest that we are definitely in exuberant times.

In the span of less than a year, AI investments have become de rigueur in any portfolio, new private company unicorns are being created every week, and the idea that AI will drive a stock market rebound is taking root. People outside of tech are becoming familiar with new vocabulary.

Large language models. ChatGPT. Deep-learning algorithms. Neural networks. Reasoning engines. Inference. Prompt engineering. CoPilots. Leading strategists and thinkers are sharing their view on how it will transform business, how it will unlock potential, and how it will contribute to human flourishing.