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AI News
Siliconangle
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Coralogix acquires Aporia to enhance AI and machine learning observability
- Coralogix has acquired Aporia Technologies, a machine learning observability startup.
- Aporia offers a machine-learning observability platform for monitoring and controlling defects in machine learning models.
- Coralogix aims to combine AI and software insights to provide end-to-end visibility and actionable insights.
- The acquisition includes the launch of Coralogix AI research center to focus on solving fundamental problems in AI.
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TechCrunch
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AI startups attracted 25% of Europe’s VC funding
- 25% of VC funding into Europe, approximately $13.7 billion, went to AI startups this year.
- European AI companies have doubled in value in four years, reaching $508 billion.
- 349,000 people were employed by AI companies in Europe this year, a 168% increase since 2020.
- Adoption of AI is expected to continue increasing, but the notion of a separate 'AI sector' is diminishing.
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Insider
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Image Credit: Insider
Databricks executive breaks down the AI talent wars: 'It's like looking for LeBron James'
- Recruiting top-tier AI researchers is like looking for LeBron James, says Databricks' VP of AI
- There are less than 1,000 researchers capable of building frontier models, according to Naveen Rao
- Companies are willing to pay large amounts for AI talent and infrastructure
- Top AI engineers have leverage and extravagant efforts are made to secure their services
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Medium
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Image Credit: Medium
Robots Gain Superhuman Vision: Seeing Through Walls with Radio Waves
- Radio frequency (RF) sensing or through-wall imaging technology has enabled robots to see through walls or objects.
- The technology works via emitting radio waves and analysing the signals that bounce back from walls or obstacles.
- By measuring the time it takes for the waves to return and their changes in frequency and amplitude, various components create a detailed 3D map of the environment, including hidden objects and structures.
- It offers several advantages over traditional vision-based systems: penetration and see-through capability in challenging environments; robustness and reliability in adverse conditions; ability to generate detailed 3D maps with object recognition; capability to cover large areas with a single sensor.
- The potential applications of radio wave imaging are vast and span a wide range of sectors, from security and surveillance, construction and infrastructure, manufacturing and logistics, to healthcare, archaeology and cultural heritage, and autonomous vehicles.
- Several companies and research institutions are actively developing and deploying radio wave imaging technology such as Vayyar Imaging, Walabot, MIT researchers and the University of Utah.
- While the technology holds immense promise, there are still some challenges to overcome such as cost, complexity, and regulation.
- However, ongoing research and development efforts are focused on improving resolution and increasing range, reducing cost, and developing new applications.
- As the technology continues to advance, experts predict even more exciting applications will emerge, transforming our lives in ways we can only imagine.
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Medium
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Image Credit: Medium
Building a Catalog from Book Images Using Alibaba Cloud OSS and Model Studio
- This blog covers the process of creating a catalog system that reads book cover images stored in an Alibaba Cloud OSS bucket and generates a CSV file with book details using Alibaba Cloud OSS and Model Studio.
- Alibaba Cloud Model Studio is an all-in-one platform for model development and application building.
- The blog provides steps to obtain the API key from Model Studio for interacting with the Qwen-VL-Plus model.
- To learn more about the process, please refer to the original blog published on Alibaba Cloud.
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Medium
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Image Credit: Medium
What is Proof-Of-Stake?
- - Proof-of-Stake has negative impact on the environment, is expensive to be a miner, and has scalability issues.
- - Proof-of-Stake does not have miners, but instead validators are chosen in a pseudo-random way.
- - Validators put their cryptocurrency on stake and are rewarded based on their stake.
- - Factors affecting validator selection include stake amount, length of staking, and randomization.
- - Higher stake amounts increase the chances of being selected, which some argue may lead to centralization.
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Medium
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Image Credit: Medium
Health Benefits of Papaya
- Papaya is a fruit loaded with antioxidants that can reduce inflammation and fight disease.
- The fruit originated in Central America and Southern Mexico but is now grown worldwide.
- Papaya contains papain, an enzyme that can break down tough protein chains in meat.
- Ripe papaya can be eaten raw, but unripe papaya should be cooked, especially during pregnancy.
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Medium
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Image Credit: Medium
Discover How AI Influencers Can Boost Your Brand Engagement
- AI Influencers are becoming popular in the digital marketing world as a way to enhance brand engagement and connect with audiences.
- Using AI influencers can lead to increased customer interaction and conversion rates, with brands reporting a 30% boost in engagement rates.
- Businesses leveraging AI influencers have seen revenue increases of up to $5,000 within the first month, and gained 10 or more new customers per week.
- Implementing AI influencers into marketing strategies is beneficial for businesses of all sizes and provides an innovative marketing opportunity.
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Medium
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Image Credit: Medium
What is the consensus mechanism
- Blockchain consensus mechanism is a procedure to reach an agreement in the network.
- Consensus mechanism is required in decentralized world to prevent chaos and ensure decision-making.
- Proof-of-Work is a consensus mechanism where miners solve complex puzzles to add blocks in blockchain.
- The fastest miner who solves the puzzle first gets their block added to the blockchain.
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Dev
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Image Credit: Dev
Is AGI Here? A Deep Dive into OpenAI's o3 Model and ARC-AGI Benchmarks
- ARC-AGI benchmark evaluates an AI system’s generalizing and reasoning skills.
- The Abstraction and Reasoning Corpus for Artificial General Intelligence (ARC-AGI) was introduced in 2019 to address a gap in AI research.
- The benchmark's design ensures that only systems capable of adapting to new scenarios can succeed.
- OpenAI’s o3 model achieved a record-breaking score of 87.5% on ARC-AGI, surpassing the human-level performance threshold of 85%.
- An AI system's high score on ARC-AGI does not equate to achieving AGI.
- ARC-AGI measures a crucial but narrow aspect of intelligence.
- Benchmarks like ARC-AGI help advance reasoning skills; they do not evaluate emotional intelligence or real-world adaptability.
- Benchmarks drive AI research by setting measurable goals, pushing the boundaries of what AI systems can achieve.
- Misconceptions arise from sensationalized media coverage that oversimplifies AI progress.
- True AGI requires breakthroughs in emotional intelligence, real-world adaptability, and dynamic memory recall.
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Tech Radar
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Image Credit: Tech Radar
AI educators are coming to this school – and it's part of a trend
- An Arizona charter school will use AI instead of human teachers for two hours a day on academic lessons.
- The AI will customize lessons in real-time to match each student’s needs.
- The company has only tested this idea at private schools before but claims it hugely increases student academic success.
- The rest of the day at the school will be filled with hands-on workshops in areas like financial literacy, entrepreneurship, and public speaking.
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Marktechpost
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Why Do Task Vectors Exist in Pretrained LLMs? This AI Research from MIT and Improbable AI Uncovers How Transformers Form Internal Abstractions and the Mechanisms Behind in-Context Learning (ICL)
- Recent research has highlighted how LLMs can adapt to tricky tasks without parameter updates, suggesting the formation of internal abstractions similar to human mental models.
- Researchers have proposed several theoretical frameworks to understand the mechanisms behind in-context learning in LLMs.
- Researchers from MIT and Improbable AI introduce the concept encoding-decoding mechanism, providing a compelling explanation for how transformers develop internal abstractions.
- Experimental evidence from synthetic tasks shows how LLMs develop distinct representational spaces for different concepts while simultaneously learning to apply concept-specific algorithms.
- Concept Decodability (CD) is introduced as a metric to quantify how well latent concepts can be inferred from representations, showing that higher CD scores correlate strongly with better task performance.
- The mechanism also explains why explicit modeling of latent variables doesn’t necessarily outperform implicit learning in transformers, as standard transformers naturally develop effective concept encoding capabilities.
- The research addresses the varying success rates of LLMs across different in-context learning tasks, suggesting that performance bottlenecks can occur at both the concept inference and algorithm decoding stages.
- The framework offers a theoretical foundation for understanding activation-based interventions in LLMs, suggesting that such methods work by directly influencing the encoded representations that guide the model’s generation process.
- The research provides valuable insights into several key questions about LLMs’ behavior and capabilities.
- Check out the Paper. All credit for this research goes to the researchers of this project.
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Marktechpost
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ConfliBERT: A Domain-Specific Language Model for Political Violence Event Detection and Classification
- Researchers have developed ConfliBERT, a specialized language model for processing political and violence-related texts.
- ConfliBERT outperforms general-purpose large language models such as Google's Gemma 2, Meta's Llama 3.1, and Alibaba's Qwen 2.5 in accuracy, precision, and recall.
- The model demonstrates superior performance in classifying terrorist attacks using the Global Terrorism Dataset, particularly in identifying bombing and kidnapping events.
- ConfliBERT combines domain-specific knowledge with computational techniques and shows promise in conflict research and event data processing.
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Medium
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The Evolution of Technology
- The 1990s saw the dawn of the internet age, with dial-up connections becoming a staple in homes and offices.
- Broadband technology entered the scene in the early 2000s, marking the decline of dial-up.
- Broadband provided faster speeds and introduced the concept of always-on connectivity.
- Streaming platforms, online gaming, and social media platforms like MySpace and Facebook emerged.
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Medium
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Story One: The Gathering in Alaska
- A group of friends gather in Alaska, renting a cabin near Kenai Fjords National Park.
- They reminisce about their childhood dreams and question why they let life get in the way.
- They decide to challenge themselves and pursue their passions during the trip.
- Through facing fears and embracing new experiences, they rediscover their dreams and strengthen their friendship.
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