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33908 Posts
Can consciousness exist in a computer simulation?

Can consciousness exist in a computer simulation?

Would it be desirable for artificial intelligence to develop consciousness? Not really, for a variety of reasons, according to Dr. Wanja Wiese from the Institute of Philosophy II at Ruhr University Bochum, Germany. In an essay, he examines the conditions that must be met for consciousness to exist and compares brains with computers. He has identified significant differences between humans and machines, most notably in the organization of brain areas as well as memory and computing units. "The causal structure might be a difference that's relevant to consciousness," he argues. The essay was published on June 26, 2024 in the…
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The Week’s 10 Biggest Funding Rounds: Cardurion Pharmaceuticals And Human Interest Nab Largest Raises

The Week’s 10 Biggest Funding Rounds: Cardurion Pharmaceuticals And Human Interest Nab Largest Raises

Want to keep track of the largest startup funding deals in 2024 with our curated list of $100 million-plus venture deals to U.S.-based companies? Check out The Crunchbase Megadeals Board. This is a weekly feature that runs down the week’s top 10 announced funding rounds in the U.S. Check out last week’s biggest funding rounds here. Eight startups raised $100 million or more this week as a biotech and financial services company led the way. In fact, the big rounds came from everywhere, including automotive, fintech and IT software. Notice anything missing? Yep, no huge AI raise. 1. Cardurion Pharmaceuticals,…
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PQCache: Product Quantization-based KVCache for Long Context LLM Inference

PQCache: Product Quantization-based KVCache for Long Context LLM Inference

arXiv:2407.12820v1 Announce Type: new Abstract: As the field of Large Language Models (LLMs) continues to evolve, the context length in inference is steadily growing. Key-Value Cache (KVCache), a crucial component in LLM inference, has now become the primary memory bottleneck due to limited GPU memory. Current methods selectively determine suitable keys and values for self-attention computation in LLMs to address the issue. However, they either fall short in maintaining model quality or result in high serving latency. Drawing inspiration from advanced embedding retrieval techniques used in the database community, we consider the storage and searching of KVCache as a typical…
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Microsoft’s New AI System Promises to Revolutionize Spreadsheet Use

Microsoft’s New AI System Promises to Revolutionize Spreadsheet Use

As AI continues to reshape every corner of the digital landscape, Microsoft is now turning its attention to a critical yet often overlooked domain of office work: the spreadsheet.  The tech giant has introduced an experimental AI model called SpreadsheetLLM to enhance the functionality of spreadsheets. The new model, detailed in a research paper by Microsoft, aims to solve the challenge of harnessing the power of AI with the structured data found in spreadsheets.  While the Microsoft researchers emphasized the importance of spreadsheets in business, they also highlighted their limitations. Traditional spreadsheets struggle to understand and reason over the contents…
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New Camera Inside Cars Detects If You’ve Been Drinking

New Camera Inside Cars Detects If You’ve Been Drinking

But is it a solution that we actually need?Eye See YouA team of Australian scientists have cooked up a new AI-driven camera system that can detect whether you are too drunk to drive a vehicle.But the project isn't quite ready for wide use with only 75 percent accuracy, according to the researchers out of Edith Cowan University in Western Australia, who had presented this camera project at a computer vision conference earlier this year.The research, flagged by TechSpot, might still have ways to go in terms of accuracy, but the scientists say the technology is promising for preventing alcohol-driven accidents."This…
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Democratic group to air commercial calling on Biden to drop out during his favorite show

Democratic group to air commercial calling on Biden to drop out during his favorite show

A Democratic group, Pass the Torch, is doing all it can to ensure that President Joe Biden hears their pleas that he drop his reelection bid. Starting Monday, the group will air an advertisement pushing him to drop out on "Morning Joe," the president's talkshow of choice, NBC reported.The 30-second advertisement includes Democratic voters from Pennsylvania, a crucial swing state. They stand in front of leafy trees and brick houses, speaking directly to the camera — and the president."President Biden, you saved democracy in 2020," one says."Now, you have a chance to do it again," continues another. The voters urge…
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Samsung is freezing Galaxy Buds 3 Pro shipments amid quality control issues

Samsung is freezing Galaxy Buds 3 Pro shipments amid quality control issues

Samsung has temporarily shut down Galaxy Buds 3 Pro shipments. With memories of its flaming hot (and not in a good way) Galaxy Note fiasco eight years ago, the company is halting the earbuds’ launch while “urgently assessing and enhancing” the product’s quality control, according to Android Authority, which first published the news.Some users who received the Galaxy Buds 3 Pro before their July 24 launch reported that their ear tips tore easily. Considering how often they may need to remove and replace tips to find their ideal fit, material prone to ripping could have led to atrocious PR and…
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Supercharging LLMs: RoT Fuses Language Models with Decision Tree Search to Boost Reasoning Power

Supercharging LLMs: RoT Fuses Language Models with Decision Tree Search to Boost Reasoning Power

This is a Plain English Papers summary of a research paper called Supercharging LLMs: RoT Fuses Language Models with Decision Tree Search to Boost Reasoning Power. If you like these kinds of analysis, you should join AImodels.fyi or follow me on Twitter. Overview This paper explores a novel approach called "Reflection on Search Trees" (RoT) to enhance the capabilities of large language models (LLMs). RoT involves integrating tree search methods with LLMs to improve their reasoning and decision-making abilities. The paper presents the design and evaluation of the RoT system, demonstrating its effectiveness in outperforming traditional LLMs on various tasks.…
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A Framework for testing Federated Learning algorithms using an edge-like environment

A Framework for testing Federated Learning algorithms using an edge-like environment

[Submitted on 17 Jul 2024] View a PDF of the paper titled A Framework for testing Federated Learning algorithms using an edge-like environment, by Felipe Machado Schwanck and Marcos Tomazzoli Leipnitz and Joel Lu'is Carbonera and Juliano Araujo Wickboldt View PDF HTML (experimental) Abstract:Federated Learning (FL) is a machine learning paradigm in which many clients cooperatively train a single centralized model while keeping their data private and decentralized. FL is commonly used in edge computing, which involves placing computer workloads (both hardware and software) as close as possible to the edge, where the data is being created and where actions…
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