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Jul 13, 2024

Daniel Dennett on the Mind as Computer

Posted by in categories: computing, education

King Philosophy is a global organisation dedicated to developing emotional intelligence, both through our YouTube channel and our real-life school located on 10 campuses around the world. We apply psychology, philosophy, and culture to everyday life, addressing the questions we’re never taught enough about at regular school or college: How can relationships go well? What is meaningful work? How can love last? How can one find calm? What has gone wrong (and right) with capitalism? We love the humanities, especially philosophy, psychotherapy, literature and art — always going to them in search of ideas that are thought-provoking, useful and consoling.

We’re about wisdom, emotional intelligence and self-understanding.

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Jul 13, 2024

New quantum computer smashes ‘quantum supremacy’ record by a factor of 100 — and it consumes 30,000 times less power

Posted by in categories: computing, quantum physics

The 56-qubit H2-1 computer has broken the previous record in the ‘quantum supremacy’ benchmark first set by Google in 2019.

Jul 13, 2024

Oxford Ionics Reports Chips Break Global Quantum Performance Records

Posted by in categories: computing, quantum physics

Oxford Ionics reported that the company’s newest chips can provide over twice the performance of previous records.

Jul 13, 2024

Learning to express reward prediction error-like dopaminergic activity requires plastic representations of time

Posted by in categories: computing, information science, neuroscience

One of the variables in TD algorithms is called reward prediction error (RPE), which is the difference between the discounted predicted reward at the current state and the discounted predicted reward plus the actual reward at the next state. TD learning theory gained traction in neuroscience once it was demonstrated that firing patterns of dopaminergic neurons in the ventral tegmental area (VTA) during reinforcement learning resemble RPE5,9,10.

Implementations of TD using computer algorithms are straightforward, but are more complex when they are mapped onto plausible neural machinery11,12,13. Current implementations of neural TD assume a set of temporal basis-functions13,14, which are activated by external cues. For this assumption to hold, each possible external cue must activate a separate set of basis-functions, and these basis-functions must tile all possible learnable intervals between stimulus and reward.

In this paper, we argue that these assumptions are unscalable and therefore implausible from a fundamental conceptual level, and demonstrate that some predictions of such algorithms are inconsistent with various established experimental results. Instead, we propose that temporal basis functions used by the brain are themselves learned. We call this theoretical framework: Flexibly Learned Errors in Expected Reward, or FLEX for short. We also propose a biophysically plausible implementation of FLEX, as a proof-of-concept model. We show that key predictions of this model are consistent with actual experimental results but are inconsistent with some key predictions of the TD theory.

Jul 13, 2024

Huge Problem with Modern GPUs. New Breakthrough Technology Explained

Posted by in categories: computing, innovation

https://www.youtube.com/watch?v=x21QpvUjUTQ

39,785 views • Jul 12, 2024 • #ASUSCopilotPlusPC #ASUS #Vivobook

Jul 12, 2024

Scientists create computer program that ‘paints’ the structure of molecules in the style of famous Dutch artist

Posted by in category: computing

Scientists from Trinity College Dublin have created a computer program that “paints” the structure of molecules in the style of famous Dutch artist, Piet Mondrian, whose beautiful artworks will be instantly recognizable to many.

Jul 12, 2024

Securely propagating entanglement at the push of a button

Posted by in categories: computing, quantum physics

Entanglement, Einstein’s “spooky action at a distance,” today is THE tool of quantum information science. It is the essential resource for quantum computers and used to transmit quantum information in a future quantum network. But it is highly sensitive. It is therefore an enormous challenge to entangle resting quantum bits (qubits) with flying qubits in the form of photons “at the push of a button.”

Jul 12, 2024

Game developer says Intel should recall its defective, crash-prone CPUs

Posted by in categories: computing, entertainment

Facepalm: Crashes experienced by customers owning recent high-end Intel processors aren’t just software or BIOS-related issues. Alderon Games founder Matthew Cassells says Chipzilla has made his company’s life much more complicated than it should be. The game developer has experienced considerable Intel CPU problems, including crashes, instability, and memory corruption.

The number of people and organizations forced to experience crashes and general instability on Intel’s latest CPU models keeps growing. Now, a game developer is blatantly pointing the finger at the Santa Clara corporation and its alleged “defective” products.

“Despite all released microcode, BIOS, and firmware updates, the problem remains unresolved,” Cassells said.

Jul 12, 2024

Apple Supplier TSMC Will Begin Trial Production Of 2nm Chips Next Week, Aiming To Secure A Stable Yield Before Mass Production

Posted by in categories: computing, mobile phones

Apple supplier TSMC will begin trial production of 2nm chips next week for next year’s debut on iPhone 17 lineup.

Jul 12, 2024

AMD’s Glass Substrate Chips Reportedly Launch Between 2025–2026 — Intel & Samsung Prep Mass Production Plans Post-2025

Posted by in categories: computing, materials

AMD is reportedly planning to develop Glass Substrate chips as early as 2025 as Intel & Samsung eye mass production for post-2025.

Glass Substrates Are Expected To Be The Next Big Thing For The Tech Industry, Intel & Samsung Eye Towards Establishing Their Production While AMD Aims Chip Development As Early As 2025

Glass substrates are used in packaging solutions to replace organic materials. They have numerous benefits, such as higher packaging strength, which ensures more extended durability & reliability, and a higher interconnected density since glass is usually much thinner than organic material. This allows the integration of multiple transistors into a single pack. It is said to overcome flaws associated with traditional methods and open a new wave of innovation for computing chips employing glass substrates.

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