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The Physics of Time | Deep Dive AI Podcast

This Deep Dive AI podcast discusses my book The Physics of Time: D-Theory of Time & Temporal Mechanics, an insightful exploration into one of the most profound mysteries of existence: the nature of time. As part of the Science and Philosophy of Information series, this book presents a radical reinterpretation of time grounded in modern physics and digital philosophy. It questions whether time is a fundamental aspect of reality or an emergent property of consciousness and information processing. Drawing on quantum physics, cosmology, and consciousness studies, this work invites readers (and listeners) to reimagine time not as a linear, absolute entity, but as a dynamic, editable dimension intertwined with the fabric of reality itself. It challenges traditional views, blending scientific inquiry with metaphysical insights, aimed at both the curious mind and the philosophical seeker.

#PhysicofTime #TemporalMechanics #DTheory #consciousness #DigitalPresentism #TimeFlow #EmergentTime #TimeTravel #ArrowofTime #SyntellectHypothesis

In this episode, we dive deep into The Physics of Time: D-Theory of Time & Temporal Mechanics by futurist-philosopher Alex M. Vikoulov. Explore the profound questions at the intersection of consciousness, quantum and digital physics, and the true nature of time. Is time fundamental or emergent? Can we travel through it? What is Digital Presentism?

The Physics of Time: D-Theory of Time & Temporal Mechanics by Alex M. Vikoulov is an insightful exploration into one of the most profound mysteries of existence: the nature of time. As part of the Science and Philosophy of Information series, this book presents a radical reinterpretation of time grounded in modern physics and digital philosophy. It questions whether time is a fundamental aspect of reality or an emergent property of consciousness and information processing.

The book introduces the D-Theory of Time, or Digital Presentism, which suggests that all moments exist as discrete, informational states, and that our perception of time’s flow is a mental construct. Vikoulov explores theoretical models of time travel, the feasibility of manipulating time, and the concept of the Temporal Singularity, a proposed point where temporal mechanics may reach a transformative threshold.

Continue reading “The Physics of Time | Deep Dive AI Podcast” | >

AI model analyzes brain scans to predict relapse risk in pediatric brain cancer

Artificial intelligence (AI) shows tremendous promise for analyzing vast medical imaging datasets and identifying patterns that may be missed by human observers. AI-assisted interpretation of brain scans may help improve care for children with brain tumors called gliomas, which are typically treatable but vary in risk of recurrence.

Investigators from Mass General Brigham and collaborators at Boston Children’s Hospital and Dana-Farber/Boston Children’s Cancer and Blood Disorders Center trained deep learning algorithms to analyze sequential, post-treatment brain scans and flag patients at risk of cancer recurrence.

Their results are published in NEJM AI.

New ferroelectric device performs calculations within memory

In a new Nature Communications study, researchers have developed an in-memory ferroelectric differentiator capable of performing calculations directly in the memory without requiring a separate processor.

The proposed differentiator promises energy efficiency, especially for edge devices like smartphones, autonomous vehicles, and security cameras.

Traditional approaches to tasks like image processing and motion detection involve multi-step energy-intensive processes. This begins with recording data, which is transmitted to a , which further transmits the data to a microcontroller unit to perform differential operations.

The US ‘must win’ the AI race with China, Andreessen Horowitz exec says

Andreessen Horowitz’s Anjney Midha argues that the US has no choice in terms of how it approaches the artificial intelligence race with China: “We must win.”

Speaking with Semafor’s Reed Albergotti at Semafor’s World Economy Summit on Wednesday, Midha, who is a general partner at the Silicon Valley venture capital firm, said that US AI companies should double down on driving growth rather than stifle innovation over concerns of potentially harmful use cases. People all over the world will choose to use American AI tools, so long as they’re the best available.

“This is why a billion people in India still use WhatsApp. It was invented in Silicon Valley,” Midha said.

Touch meets tech: AI brings tactile textures to 3D-printed objects

Essential for many industries ranging from Hollywood computer-generated imagery to product design, 3D modeling tools often use text or image prompts to dictate different aspects of visual appearance, like color and form. As much as this makes sense as a first point of contact, these systems are still limited in their realism due to their neglect of something central to the human experience: touch.

Fundamental to the uniqueness of physical objects are their tactile properties, such as roughness, bumpiness, or the feel of materials like wood or stone. Existing modeling methods often require advanced computer-aided design expertise and rarely support tactile feedback that can be crucial for how we perceive and interact with the physical world.

With that in mind, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have created a new system for stylizing 3D models using image prompts, effectively replicating both visual appearance and tactile properties. Their research is published on the arXiv preprint server.

Android Spyware Disguised as Alpine Quest App Targets Russian Military Devices

Cybersecurity researchers have revealed that Russian military personnel are the target of a new malicious campaign that distributes Android spyware under the guise of the Alpine Quest mapping software.

“The attackers hide this trojan inside modified Alpine Quest mapping software and distribute it in various ways, including through one of the Russian Android app catalogs,” Doctor Web said in an analysis.

The trojan has been found embedded in older versions of the software and propagated as a freely available variant of Alpine Quest Pro, a paid offering that removes advertising and analytics features.

Generative AI masters the art of scent creation

Addressing the challenges of fragrance design, researchers at the Institute of Science Tokyo (Science Tokyo) have developed an AI model that can automate the creation of new fragrances based on user-defined scent descriptors. The model uses mass spectrometry profiles of essential oils and corresponding odor descriptors to generate essential oil blends for new scents.

This advance could be a game-changer for the fragrance industry, moving beyond trial-and-error to enable rapid and scalable fragrance production. The findings are published in IEEE Access.

Designing new fragrances is crucial in industries like perfumery, food, and home products, where scent significantly influences the overall experience of these products. However, traditional fragrance creation can be time-consuming and often depends on the skill and expertise of specialized perfumers. The process is typically challenging and labor-intensive, requiring numerous trial-and-error attempts to achieve the desired scent.

‘Periodic table of machine learning’ framework unifies AI models to accelerate innovation

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected. The new framework sheds light on how scientists could fuse strategies from different methods to improve existing AI models or come up with new ones.

For instance, the researchers used their framework to combine elements of two different algorithms to create a new image-classification that performed 8% better than current state-of-the-art approaches.

The periodic table stems from one key idea: All these algorithms learn a specific kind of relationship between data points. While each algorithm may accomplish that in a slightly different way, the core mathematics behind each approach is the same.

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