Viral News

5 Transformative Ways AI is Driving the Open Finance Revolution
25 May

5 Transformative Ways AI is Driving the Open Finance Revolution

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The finance sector has often struggled in the 21st Century to fully embrace digital transformation. However, the ongoing generative AI boom has all the necessary components to deliver an Open Finance revolution that can bring widespread modernization to industry processes. Although it's been relatively slow in the uptake of digital transformation, the impressive growth of Open Banking has shown that there's plenty of room for innovation throughout finance. While Open Banking refers to the exchange of services and data across financial institutions, Open Finance represents the next step in digital transformation and empowers trusted third parties to utilize customer data…
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Introducing the Databricks AI Fund
25 May

Introducing the Databricks AI Fund

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We launched Databricks Ventures in December 2021 as our strategic investment arm for funding innovative startups across the data, analytics and AI landscape — companies that shared our view on the importance of open platforms and ecosystems. Since then, via the inaugural Lakehouse Fund, we’ve invested in more than 25 amazing companies that are building on or extending the Databricks Data Intelligence Platform. The result has been a stronger ecosystem, with our portfolio companies delivering best-in-class product experiences for our joint customers.Today, we’re excited to announce the Databricks AI Fund, the second fund at Databricks Ventures. Just as software ate…
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Improving Face Keypoint Detection
25 May

Improving Face Keypoint Detection

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In this article, we will make additional improvements to our previous custom robust keypoint detection model. In addition to a faster face detection model, we will optimize the face keypoint regressor model, as well as the inference pipeline. All in all, this article is all about improving the face keypoint detection model and pipeline. Figure 1. Improved face keypoint detection pipeline output. We will cover the following topics in this article We will start with a discussion of the issues with our previous approach to face keypoint detection.Then we will move to the discussion of the changes that we will…
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Onehouse Breaks Data Catalog Lock-In with More Openness
25 May

Onehouse Breaks Data Catalog Lock-In with More Openness

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(Majcot/Shutterstock) Onehouse, the Apache Hudi-backer that bills itself as the most open data platform in the world, further opened up its platform today with the launch of a data catalog synchronization feature that streamlines user access to data residing in major cloud platforms. The feature complements the company’s investment in developing XTable, an open-source offering that delivers read-write interoperability among Hudi, Delta, and Apache Iceberg table formats. The advent of open table formats like Hudi, Delta, and Iceberg revolutionized data openness by enabling multiple query engines access the same piece of data without fear of data corruption. As the key…
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Data Machina #246
25 May

Data Machina #246

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New Trends in Vision-Language Models (VLMs.) The evolution of VLMs in recent months has been pretty impressive. Today VLMs exhibit some amazing capabilities. See the two links below on what VLMs can do and how they work:But still VLMs are facing some challenges for example in terms of: multimodal training datasets, resolution, long-form modality, vision-language integration, and concept understanding. Somewhat along those lines, I see 5 trends happening in VLMs: 1) VLMs run on local environment 2) Emerging VLM videoagents 3) Unified structure learning for VLMs 4) Personalisation of VLMs and 5) Fixing the VLM resolution curse. Let’s see…VLMs on…
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AI vs. Humanity: Who Will Come Out on Top?
25 May

AI vs. Humanity: Who Will Come Out on Top?

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The below is a summary of my recent article on superintelligence. Elon Musk predicts that Artificial Superintelligence (ASI) will emerge by 2025, much earlier than his previous estimates. While Musk's track record with predictions is mixed, this one sparks serious contemplation about the future. The moment AI surpasses human cognitive abilities, known as the singularity, will usher in a new era with both unprecedented possibilities and profound perils. As we edge closer to this event horizon, it's essential to ask if we are prepared to navigate the uncertainties and harness the potential of AI responsibly. The journey towards ASI has…
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Delta Sharing: Secure End-to-End Data Sharing Solution
25 May

Delta Sharing: Secure End-to-End Data Sharing Solution

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In today's digital landscape, secure data sharing is critical to operational efficiency and innovation. Databricks and the Linux Foundation developed Delta Sharing as the first open source approach to data sharing across data, analytics and AI.  Databricks provides secure data exchange, facilitating seamless sharing across platforms, clouds and regions. Enterprises of all sizes trust Delta Sharing, which supports a broad spectrum of applications and diverse data formats. This flexibility makes it a reliable tool for organizations seeking to harness the full potential of their data assets.In this blog, we will review Delta Sharing's security architecture through three different sharing scenarios—…
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Multiscale Vision Transformer for Video Recognition
25 May

Multiscale Vision Transformer for Video Recognition

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Vision transformers are already good at multiple tasks like image recognition, object detection, and semantic segmentation. However, we can also apply them to data with temporal information like videos. One such use case is using Vision Transformers for video classification. To this end, in this article, we will go over the important parts of the Multiscale Vision Transformer (MViT) paper and also carry out inference using the pretraining model. Figure 1. An example output after passing a bowling video through the Multiscale Vision Transformer model. Although there are several models for this, the Multiscale Vision Transformer model stands out for…
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Snowflake Looks to AI to Bolster Growth
25 May

Snowflake Looks to AI to Bolster Growth

stp2y0 CommentsViral News
(Michael Vi/Shutterstock) Investors in Snowflake breathed a sigh of relief this week when the cloud data warehouser reported solid revenue growth for its first quarter and raised its guidance for the rest of the year. But questions still remain over its long-term growth, which the company is hoping that artificial intelligence will power. The company’s acquisition this week of assets of TruEra fits that mold. Snowflake on Wednesday reported $829 million in total GAAP revenues for the quarter ended April 30, 2024, representing a 33% increase over the same period last year. It reported 14 cents per share, which was…
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Data Machina #247
25 May

Data Machina #247

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The New Breed of Open Mixture-of-Experts (MoE) Models. In a push to beat the closed-box AI models from the AI Titans, many startups and research orgs have embarked in releasing open MoE-based models. These new breed of MoE-based models introduce many clever architectural tricks, and seek to balance training cost efficiency, output quality, inference performance and much more. For an excellent introduction to MoEs, checkout this long post by the Hugging Face team: Mixture of Experts ExplainedWe’re starting to see several open MoE-based models achieving near-SOTA or SOTA performance as compared to e.g. OpenAI GPT-4 and Google Gemini 1.5 Pro.…
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