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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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Collaboration can be a beautiful thing, especially when people work together to create something new. Take, for example, a longstanding collaboration between Arka Majumdar, a University of Washington (UW) professor of electrical and computer engineering and physics, and Felix Heide, an assistant professor of computer science at Princeton University.

Together, they and their students have produced some eye-popping research, including shrinking a camera down to the size of a grain of salt while still capturing crisp, clear images.

Now, the pair is building on this work, publishing a paper in Science Advances that describes a new kind of compact camera engineered for computer vision—a type of artificial intelligence that allows computers to recognize objects in images and video.

Optical information encoded in holograms is transferred by means of ultrashort laser filaments propagating in highly nonlinear and turbulent media. After propagation, the initial optical information is completely scrambled and cannot be retrieved by any experimental or physical modeling system. Yet, we demonstrate that neural networks trained on experimental data provide a robust way to fully recover the original hologram images. Remarkably, our approach demonstrates the ability to decode intricate spatial information, marking a significant advancement in information retrieval from chaotic media, with applications in secure free-space optical communications and cryptography.

A few prospective studies have suggested that AI use in mammography screening increases cancer detection. However, cancer detection supported with AI should not predominately identify indolent cancers or occur at the expense of more false positives; instead, AI usage should increase the detection of clinically relevant cancers.

About the study

In the present study, researchers assessed the performance of cancer screening measures in the MASAI trial. The trial was designed to compare AI-supported mammography screening with standard double-reading.

The concept of computational consciousness and its potential impact on humanity is a topic of ongoing debate and speculation. While Artificial Intelligence (AI) has made significant advancements in recent years, we have not yet achieved a true computational consciousness capable of replicating the complexities of the human mind.

AI technologies are becoming increasingly sophisticated, performing tasks that were once exclusive to human intelligence. However, fundamental differences remain between AI and human consciousness. Human cognition is not purely computational; it encompasses emotions, subjective experiences, self-awareness, and other dimensions that machines have yet to replicate.

The rise of advanced AI systems will undoubtedly transform society, reshaping how we work, communicate, and interact with the digital world. AI enhances human capabilities, offering powerful tools for solving complex problems across diverse fields, from scientific research to healthcare. However, the ethical implications and potential risks associated with AI development must be carefully considered. Responsible AI deployment, emphasizing fairness, transparency, and accountability, is crucial.

In this evolving landscape, ETER9 introduces an avant-garde and experimental approach to AI-driven social networking. It redefines digital presence by allowing users to engage with AI entities known as ‘noids’ — autonomous digital counterparts designed to extend human presence beyond time and availability. Unlike traditional virtual assistants, noids act as independent extensions of their users, continuously learning from interactions to replicate communication styles and behaviors. These AI-driven entities engage with others, generate content, and maintain a user’s online presence, ensuring a persistent digital identity.

ETER9’s noids are not passive simulations; they dynamically evolve, fostering meaningful interactions and expanding the boundaries of virtual existence. Through advanced machine learning algorithms, they analyze user input, adapt to personal preferences, and refine their responses over time, creating an AI representation that closely mirrors its human counterpart. This unique integration of AI and social networking enables users to sustain an active online presence, even when they are not physically engaged.

The advent of autonomous digital counterparts in platforms like ETER9 raises profound questions about identity and authenticity in the digital age. While noids do not possess true consciousness, they provide a novel way for individuals to explore their own thoughts, behaviors, and social interactions. Acting as digital mirrors, they offer insights that encourage self-reflection and deeper understanding of one’s digital footprint.

As this frontier advances, it is essential to approach the development and interaction with digital counterparts thoughtfully. Issues such as privacy, data security, and ethical AI usage must be at the forefront. ETER9 is committed to ensuring user privacy and maintaining high ethical standards in the creation and functionality of its noids.

ETER9’s vision represents a paradigm shift in human-AI relationships. By bridging the gap between physical and virtual existence, it provides new avenues for creativity, collaboration, and self-expression. As we continue to explore the potential of AI-driven digital counterparts, it is crucial to embrace these innovations with mindful intent, recognizing that while AI can enhance and extend our digital presence, it is our humanity that remains the core of our existence.

As ETER9 pushes the boundaries of AI and virtual presence, one question lingers:

— Could these autonomous digital counterparts unlock deeper insights into human consciousness and the nature of our identity in the digital era?

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