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Data Science News
Medium
2w
112
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Exploring Music from Different Perspectives
- The author initially attempted to analyze MP3 files but found it challenging.
- They discovered that MIDI files were more suitable for analysis as they offer built-in features.
- The author converted a piano arrangement of Canon in D into a MIDI file for demonstration purposes.
- The MIDI file was read using the tuneR library, and the data frame obtained contained timing and note information.
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VentureBeat
2w
395
OpenAI releases hyperrealistic AI video generator Sora Turbo to the public
- OpenAI has released its hyperrealistic AI video generation software Sora Turbo to the public.
- Sora Turbo is an upgraded model of the previously shown Sora, offering video generation from text inputs or images in various resolutions and aspect ratios.
- ChatGPT Plus and Pro subscribers can access Sora Turbo, with different features and limitations based on their subscription plan.
- The release of Sora Turbo comes amidst competition from other AI video generation platforms like Runway, Luma AI, Kling, Hailuo, and Tencent.
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TechBullion
2w
43
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Mst. Zannatun Ferdus: Redefining the Future of AI, Data Science, and Cloud Innovation
- Mst. Zannatun Ferdus is a leading professional in the fields of AI, machine learning, and data science, bridging the gap between cutting-edge research and real-world industrial applications.
- She has a Ph.D. in Computer Science from the University of the Potomac, with deep expertise in machine learning, neural networks, and predictive modeling.
- Zannatun’s research, focused on areas like healthcare and financial forecasting, has led to significant contributions in fields such as cardiovascular disease prediction, and stock price forecasting.
- As a Data Scientist at Taskimpetus Inc., based in Los Angeles, Zannatun is solving complex, real-world problems with advanced AI and machine learning techniques, driving real-world impact.
- Zannatun’s technical toolkit is vast and varied, making her an expert across a range of technologies. She brings a wealth of experience to every project she tackles.
- Her vision for the future is one where technology, especially AI and cloud computing, is a powerful tool to solve global challenges and improve the quality of life for communities worldwide.
- Zannatun’s work exemplifies a forward-thinking approach to technology. She consistently anticipates the needs of industries and innovates accordingly.
- Her approach combines the technical prowess of machine learning algorithms with the practical understanding of industry needs, ensuring that her models aren’t just theoretical but are actively contributing to operational improvements across sectors.
- Beyond her technical expertise, Zannatun is committed to using technology for social good and has demonstrated her ability to integrate technology into socio-economic projects with a focus on community impact.
- Zannatun’s career is a testament to the transformative power of technology and the impact it can have when applied with expertise and vision.
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Mit
2w
143
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Citation tool offers a new approach to trustworthy AI-generated content
- MIT CSAIL researchers created ContextCite to improve trust in AI-generated content that uses external context for answering queries.
- ContextCite helps identify the sources of external context used by a model to generate any particular statement that can enhance users' trust to verify the statement.
- Researchers perform context ablations, where specific external data pieces are removed from the dataset to test the model's response, to make ContextCite possible.
- ContextCite can help improve the quality of AI's responses by identifying and pruning irrelevant context while producing more accurate responses.
- The tool can detect poisoning attacks where malicious actors insert statements that trick AI assistants into leaking personalized information.
- ContextCite reveals the exact source material being used by a model to form its response to guideline the model's approach effectively
- ContextCite can be used in industries that require high levels of accuracy, like healthcare, law, and education.
- The scientists are aware of issues of complexity of language, but they recognize the importance of further refinement to address these complexities.
- ContextCite strives to build itself as a fundamental component to achieve reliable and attributable insights generated by AI
- The researchers will present their findings at the Conference on Neural Information Processing Systems this week.
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Medium
2w
225
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How to Capture Changes in Data (CDC)?
- Log-Based CDC: This method uses the database’s transaction logs to capture changes. It’s efficient and doesn’t impact your main database performance, but it requires access to those transaction logs.
- Query-Based CDC: Here, the system runs periodic queries to compare the current data with a previous snapshot. It’s straightforward but can be resource-intensive if you have a large dataset.
- Trigger-Based CDC: This involves setting up triggers in the database that automatically flag changes. It’s precise and real-time but needs upfront setup and can add a slight performance overhead.
- CDC in the Cloud: AWS Example: AWS makes CDC easy with services like Amazon Database Migration Service (DMS). You can perform partial or full loads for seamless data replication and migrations.
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Analyticsindiamag
2w
373
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OpenAI’s Sora is So Not Dead
- OpenAI's popular text-to-video tool, Sora, has once again become the talk of the town after the leaked footage and information hinting at the video generation quality of Sora v2 surfaced.
- Sora v2 is expected to generate videos up to one minute in length, making it a significant leap from previous versions or competitors that often offer shorter clips.
- This latest development offers a flexible approach to video generation ranging from text-to-video, text+image-to-video, and text+video-to-video.
- Ashutosh Shrivastava, an AI enthusiast, took to X to express his thoughts on this.
- If the tool is not released in the ‘12 days of OpenAI’, OpenAI could lose its advantage with the tool’s popularity on the rise currently.
- Following the leak, many content creators and enthusiasts admitted they’d lost all hope of Sora ever being released to the public.
- As speculations around the Sora release rise, there is considerable excitement regarding its potential public release.
- With multiple scenes and character consistency across the video duration, there has risen significant interest and anticipation among tech enthusiasts and professionals in the field.
- With the rise and impact of other tools like Runway, Midjourney and KlingAI over the past year, it has become difficult for creators to think back to the capabilities of Sora.
- AIM had previously compared the launch of OpenAI’s Sora to a ‘ChatGPT moment in video generation’.
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VentureBeat
2w
165
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How Databricks is using synthetic data to simplify evaluation of AI agents
- Data ecosystem leader Databricks introduces synthetic data capabilities to help developers evaluate agent performance effortlessly.
- Developers can produce artificial datasets within their workflows to evaluate the performance of in-development agentic systems.
- This will save them unnecessary back-and-forth with subject matter experts and more quickly bring agents to production.
- Databricks acquired MosaicML last year to fully integrate the company’s technology and models across its Data Intelligence platform to give enterprises everything they need to build, deploy and evaluate machine learning (ML) and generative AI solutions.
- The company expanded Agent Evaluation with a new synthetic data generation API enabling developers to create high-quality evaluation datasets for preliminary assessment in a matter of minutes.
- Developers can themselves explore how permutations of the system — tuning models, changing retrieval or adding tools — alter quality.
- The move will allow developers to generate high-quality artificial datasets within their workflows to evaluate the performance of in-development agentic systems. This will save them unnecessary back-and-forth with subject matter experts and more quickly bring agents to production.
- Multiple enterprises using Databricks are taking advantage of the synthetic data API as part of a private preview and have reported a significant reduction in the time taken to improve the quality of their agents and deploy them into production.
- This development is expected to boost the adoption of Databrick’s Mosaic AI offering, further strengthening the company’s position as the go-to vendor for all things data and gen AI.
- Snowflake, a Databricks competitor, is catching up with a series of product announcements and acquisitions.
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VentureBeat
2w
182
Adobe brings generative AI and real-time personalization to AWS: Here’s what’s next
- Adobe is partnering with Amazon Web Services (AWS) to expand its Experience Platform onto AWS, signaling a major shift in how enterprises approach AI and customer data.
- This partnership allows organizations to activate customer data stored in AWS services for personalization without the complexity and latency of cross-cloud data transfers.
- The integration of generative AI capabilities through the AEP AI Assistant offers a democratization of enterprise marketing tools, allowing teams to interact with complex data through natural language prompts.
- The joint offering will be available in 2025, providing enterprises with the opportunity to leverage Adobe's suite of applications directly within their AWS environment.
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Medium
2w
17
The Foolish Quack
- A foolish quack claimed to cure goitres.
- An old woman pleaded for a cure for her goitre.
- The quack's treatment caused the woman's death.
- The people decided to punish the quack by making him dig the woman's grave.
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Dev
2w
73
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Algorithm for Normalizing Current Data Using Historical Data to Eliminate Sound Noise
- When adjusting sound effects to extreme settings, using an IIR filter can result in noise.
- Existing methods like clipping and normalization only partially reduce noise.
- An improved solution suggests introducing a global absolute maximum value (α) and normalizing based on it.
- This approach can avoid drawbacks but may slightly reduce overall volume and result in occasional volume changes.
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4 Likes
Analyticsindiamag
2w
417
Image Credit: Analyticsindiamag
Top 25 Tech Influencers In India
- Haris Ali Khan, Navin Reddy, and Jenny’s Lectures top the list of the most popular individual coding influencers on YouTube in India.
- Krish Naik excels in machine learning and AI education.
- Hitesh Choudhary empowers the tech youth by creating project-based courses that simulate real-world development scenarios.
- Kunal Kushwaha's expertise lies in cloud-native technologies and open-source contributions.
- Love Babbar's expertise is in structuring DSA learning for placement preparation.
- Gaurav Sen is helping experienced developers and tech leads level up their skills by demystifying how tech giants design their systems.
- Anuj Kumar (Anuj Bhaiya) combines technical education with practical career guidance.
- Shradha Khapra excels in bridging the gap between academic knowledge and industry requirements.
- Arpit Bhayani’s expertise lies in system design and engineering fundamentals.
- Ayush Singh started contributing to the machine-learning community at just 14 years of age.
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Analyticsindiamag
2w
387
Image Credit: Analyticsindiamag
Lenovo India Unveils AI PC with 50 TOPS
- Lenovo unveiled its new ThinkPad T14s Gen 6, powered by AMD, at the Lenovo Tech Day event in Bengaluru.
- The AI PC is the company’s first x86 ThinkPad featuring next-generation AI capabilities.
- The device delivers 50 TOPS (trillions of operations per second) of AI processing power, enabling advanced data analysis, real-time machine learning, and enhanced productivity for the modern workforce.
- According to a Gartner report, AI PC shipments are projected to reach 114 million units in 2025, a threefold increase from 2024.
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Analyticsindiamag
2w
247
Image Credit: Analyticsindiamag
Nscale Raises $155 Mn in Series A to Expand AI Ops
- UK-based Nscale secures $155 million in Series A funding to expand its AI-focused infrastructure globally.
- The funding round was led by Sandton Capital Partners and included participation from Kestrel, Bluesky Asset Management, and Florence Capital.
- Nscale designs AI-specific data centers, deploys large-scale GPU infrastructure, and offers high-performance AI cloud services.
- The company plans to launch a public cloud service in early 2025 and develop 120MW of capacity focused on large supercluster deployments.
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Analyticsindiamag
2w
217
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Will South Korea’s Political Crisis Affect the Chip Market?
- The political crisis in South Korea may disrupt the country's semiconductor supply chain, impacting the chip market.
- South Korea is a major player in the DRAM and NAND flash memory market, with companies like Samsung Electronics and SK Hynix holding a significant share.
- The country accounts for 17.7% of the global semiconductor market, but its semiconductor exports heavily rely on China, Hong Kong, Taiwan, and Vietnam.
- If the political challenges escalate further, it could disrupt operations and supply chains, affecting the production and export of semiconductors and memory chips.
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Analyticsindiamag
2w
913
Image Credit: Analyticsindiamag
2025 is the Year of AI Agents, and India is Leading the Charge
- India is emerging as a leader in AI, driven by its talent and application-focused innovation. At AIM’s MachineCon GCC Summit 2024, CP Gurnani highlighted the rise of agentic AI, envisioning personalized AI agents boosting productivity.
- Redis, led by Manvinder Singh, plays a pivotal role with innovations in vector search and semantic caching. Redis’s performance stems from its single-threaded architecture, now enhanced with multi-threading for vector search, competing with Milvus and Qdrant.
- With Redis 8 and Redis for AI, the company supports GenAI applications, offering unmatched speed, memory, and flexibility. Strategic partnerships and developer-friendly tools position Redis as a GenAI cornerstone.
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