A naukri.com initiative
Data Science News
Dev
1w
387
Image Credit: Dev
Converting Recursion to Iteration Using a Stack: A Practical Guide
- Recursion is a powerful technique in computer science, often used for tasks like tree traversal, depth-first search, and backtracking algorithms. However, recursion can be less efficient in terms of both time and space due to the overhead of function calls and maintaining the call stack. In some cases, it’s beneficial to convert recursion to an iterative approach using an explicit stack to simulate the recursive calls.
- There are several reasons why you might want to convert recursion to iteration:
- When converting a recursive function to an iterative one using a stack, the general approach remains similar across different types of algorithms (like tree traversals, backtracking problems, or graph traversal). Below is a flexible template that can be adapted to various scenarios.
- The stack should be initialized with the starting state, which could be the initial arguments or the first node in a traversal.
- In recursion, the base condition checks if further recursion is necessary. In the iterative approach, you can perform the same check inside the loop. You may use continue to skip further processing when the base condition is met.
- Process the state of the current iteration (equivalent to the processing that would occur at the current recursive call).
- This iterative version uses the stack to store the current state of the permutation. The backtracking is handled by pushing and popping the states from the stack.
- Converting recursion to iteration using a stack is a valuable technique for many algorithms, especially those involving backtracking or tree/graph traversal. By using an explicit stack, we can avoid deep recursion, manage function states manually, and ensure that we have better control over the algorithm’s execution. These examples should serve as a guide to help you tackle similar problems in your own code.
Read Full Article
23 Likes
Medium
1w
39
Computer Vision in Healthcare: Transforming Patient Outcomes in 2024
- AI has achieved up to a 99% accuracy rate in detecting certain types of cancer, such as breast and lung cancer.
- Automated image segmentation helps pinpoint anomalies like tumors, fractures, and brain bleeds in seconds, dramatically reducing diagnostic time.
- AI-powered robotic surgery systems integrate computer vision to enhance precision, reducing patient recovery time by 20%-30% and improving surgical outcomes with augmented reality overlays.
- Computer vision-powered tools are advancing telemedicine by automating diagnostics in remote areas, detecting diseases like diabetic retinopathy and making diagnostic capabilities accessible in rural settings.
Read Full Article
2 Likes
Medium
1w
387
Image Credit: Medium
Future-Proof Your Business with AI Agents
- AI agents are transforming businesses by automating tasks, enhancing customer service, and driving data-powered decisions.
- Implementing AI agents can bring cost challenges, but the benefits in efficiency and customer engagement are worth it.
- AI agents are no longer limited to big tech companies and are becoming essential for businesses of all sizes.
- Entrepreneurs are seeing the potential of AI agents to revolutionize their operations and drive innovation.
Read Full Article
23 Likes
Analyticsindiamag
1w
183
Image Credit: Analyticsindiamag
OpenAI’s ‘Elon’gated Saga Has a New Twist
- OpenAI has released documents and email exchanges between co-founders Sam Altman, Ilya Sutskever, Greg Brockman, and Elon Musk regarding the operational structure of the company.
- The documents reveal Musk's view that OpenAI should adopt a for-profit model, which subsequently led to his lawsuit against the company.
- OpenAI has been facing attacks from Tech giant Alphabet and Elons's company xAI as well.
- In 2024, OpenAI proposed restructuring into a public benefit corporation to secure more substantial funding for its AI research and development.
- OpenAI raised $6.6 billion in funds, led by Thrive Captial, NVIDIA, Microsoft and Softbank Group.
- A preliminary court hearing between Musk and OpenAI is scheduled for January 14, 2025.
- Another report suggests that Meta is insisting the California attorney general block OpenAI's conversion to a for-profit company—jumping on board Elon Musk's team.
- OpenAI announced in 2019 that it had adopted a capped-profit model to attract investment.
- Musk withdrew his case in June 2024 but renewed it again in August and expanded the lawsuit by including Microsoft in November.
- OpenAI said that their goal is to make the future good and avoid an AGI dictatorship, and they did not feel that Musk aligned with this mission.
Read Full Article
11 Likes
Dev
1w
358
Image Credit: Dev
RAPTOR: A Novel Tree-Based Retrieval System for Enhancing Language Models – Research Summary
- RAPTOR is a tree-based retrieval system designed to enhance search capabilities for language models.
- It clusters text chunks and recursively generates summaries to build a tree structure, allowing for efficient retrieval of information at different levels of granularity.
- RAPTOR outperforms traditional retrieval methods in question-answering tasks, particularly in complex reasoning and multi-hop questions.
- When combined with GPT-4, RAPTOR achieves state-of-the-art results, improving accuracy on the QuALITY benchmark by 20%.
Read Full Article
21 Likes
Analyticsindiamag
1w
4
Image Credit: Analyticsindiamag
Google Makes Multiverse a Reality, Really?
- Google launched Willow with a claim of exponential error reduction but critics have questioned the quantum computing chip's bold claims and possibility of parallel universes/multiverses.
- German physicist Sabine Hossenfelder said the tech giant’s claims were not true as stage-managed results might not be as impactful as projected.
- The quantum chipset Willow with 105-cubit has the potential for practical applications in areas such as drug discovery, battery designs, and fusion energy.
- Scientific experts have pointed out the grand claims in the quantum computing field may lose their lustre when conventional computing algorithms are discovered to achieve similar results.
- Multiple tech giants like Google and Microsoft are developing the lethal blend of AI and quantum to drive the next wave of AI revolution.
- China recently launched its advanced 504-qubit superconducting quantum computer Tianyan-504, which crosses the 500-qubit threshold and competes with international platforms like IBM.
- IBM has made significant progress in becoming a leader in quantum computing and AI in the quantum race.
- India is also planning for the quantum revolution and has developed the country's largest quantum computer, with 6-7 superconducting qubits, in collaboration with DRDO and TCS.
- LTIMindtree has announced a strategic collaboration with IBM to advance the quantum innovation ecosystem and create a strong industry-academia ecosystem.
- While Google's announcement was impressive, its practical implications are currently limited as applications with everyday relevance need a million qubits, and we remain far from that benchmark.
Read Full Article
Like
Medium
1w
213
The Health Benefits of Groundnuts
- Groundnuts are a rich source of proteins, good fats, vitamins, and minerals.
- They contain monounsaturated and polyunsaturated fats that promote heart health.
- Groundnuts are also a good source of vitamins E, niacin, and folate, as well as minerals like magnesium, phosphorus, and potassium.
- They are an excellent plant-based protein source, beneficial for vegetarians and those looking to reduce animal protein intake.
Read Full Article
12 Likes
Medium
1w
128
Image Credit: Medium
How artificial intelligence could automate genomics research
- Large language models (LLMs) like GPT-4 can assist in functional genomics research
- LLMs could significantly reduce the time and effort required for analyzing gene sets
- AI tools like GPT-4 could bridge gaps in research and accelerate advancements in personalized healthcare
- Researchers have created a web portal to help researchers adopt LLMs in their genomics workflows
Read Full Article
7 Likes
Analyticsindiamag
1w
302
Image Credit: Analyticsindiamag
When Bengaluru Put Diapers on the Map
- Kimberly-Clark has established its global digital and technology centre in Bangalore due to the city's access to highly-skilled talent and technological innovation in India.
- The team has built an AI-enabled solution called Maestro, which has saved the company almost $250m on an annual basis.
- Core technologies for enhancing marketing and e-commerce strategies are being developed in Bangalore with Microsoft Azure and OpenAI.
- Products displayed on platforms like Flipkart and Amazon are being optimised using AI-generated product pages that tailor language and keywords.
- The GCC (Global Digital Technology Centre) carries out engineering solution design, deployment, and support to enhance Kimberly-Clark's marketing and e-commerce strategies in its markets worldwide.
- Kimberly-Clark is building its own AI solutions in Bangalore, and its Global AI Center of Excellence in the city supports projects like KC-GPT, a custom version of ChatGPT enriched with the company’s own data.
- The Bengaluru team is also looking to streamline employee queries and data gathering with Club IQ, which is a single interface that automatically directs user questions to the right AI tool or database.
- The investment in the Bengaluru GCC has grown eight times over in the last five and a half years in terms of revenue and almost 20 times in team size.
- GCCs can offer greater and faster cycles of innovation and iterations, resulting in stronger stickiness and engagement compared to IT service providers or system integrator partners.
Read Full Article
18 Likes
Medium
1w
123
Image Credit: Medium
Using Data Science to Predict Climate Change Trends
- Data science uses massive, complex datasets to predict climate change trends.
- Machine learning models can forecast extreme events and long-term climate trends.
- Data science helps monitor carbon emissions, identify emission reduction targets, and predict the impact of policies and technologies.
- Tools like satellite imagery and geospatial analysis track deforestation and habitat loss, while data from satellites and ice core samples inform predictions on melting glaciers and rising sea levels.
Read Full Article
7 Likes
Hackernoon
1w
34
Image Credit: Hackernoon
PagedAttention: An Attention Algorithm Inspired By the Classical Virtual Memory in Operating Systems
- vLLM, an LLM serving system that achieves (1) near-zero waste in KV cache memory and (2) flexible sharing of KV cache within and across requests to further reduce memory usage.
- PagedAttention is an attention algorithm inspired by the classical virtual memory and paging techniques in operating systems.
- PagedAttention divides the request’s KV cache into blocks and allows for flexible memory management and memory sharing in a way akin to virtual memory and paging.
- Existing LLM serving systems suffer from internal and external memory fragmentation, and cannot exploit opportunities for memory sharing efficiently.
- vLLM uses block-level memory management and preemptive request scheduling, co-designed with PagedAttention, to achieve high-throughput distributed LLM serving.
- On various models and workloads, vLLM improves LLM serving throughput by 2-4× compared to state-of-the-art systems, such as FasterTransformer and Orca.
- The improvements are more pronounced with longer sequences, larger models, and more complex decoding algorithms.
- This paper identifies the challenges in memory allocation in serving LLMs and proposes a solution that includes the PagedAttention algorithm and vLLM serving engine.
- The proposed system is evaluated on a variety of scenarios and significantly outperforms previous state-of-the-art solutions.
- The source code for vLLM is publicly available on GitHub.
Read Full Article
2 Likes
Medium
1w
132
Ayham Aloulabi: How Klarna’s AI Revolution Is Shaping the Future of Business Efficiency
- Companies like Klarna showcase how integrating AI doesn’t just reduce costs — it creates opportunities to reinvest in the workforce.
- Communication strategies can highlight the benefits of AI integration to both employees and stakeholders.
- AI adoption should align with the company's values and reflect a vision for growth and sustainability.
- Thoughtful communication and expert guidance are crucial for managing the transition to AI in businesses.
Read Full Article
7 Likes
Medium
1w
281
Image Credit: Medium
Attention Economy and Artificial Intelligence: The Digital Atomic Bomb That’s About to Explode”
- The Attention Economy is the concept of human attention becoming a valuable currency in the digital marketplace.
- Artificial Intelligence (AI) plays a crucial role in capturing and manipulating our attention through personalized content and ads.
- The convergence of the Attention Economy and AI can lead to a society where our perception of reality is distorted and our attention is constantly exploited.
- To prevent the negative consequences, clear regulations and education about these technologies are crucial, along with the development of alternative solutions for digital well-being.
Read Full Article
16 Likes
VentureBeat
1w
42
Image Credit: VentureBeat
Cohere’s smallest, fastest R-series model excels at RAG, reasoning in 23 languages
- AI startup Cohere has released Command R7B, the smallest and fastest model in its R series.
- Command R7B uses retrieval-augmented generation (RAG) and supports 23 languages.
- The model outperforms competitors in tasks such as math, coding, and translation.
- Command R7B is capable of handling conversational tasks and excels at retrieving and manipulating numerical information.
Read Full Article
2 Likes
Medium
1w
384
Image Credit: Medium
How to Use Blaze to Automate Your Daily Tasks and Save Hours
- Blaze AI is a next-gen productivity tool that combines speed, usability, and AI to automate daily tasks.
- Tasks like task management, email automation, calendar management, data entry, social media management, collaboration, customer support, and personal life organization can be automated using Blaze.
- Blaze plays nicely with other tools, ensuring it becomes the ultimate productivity hub.
- Blaze AI is suitable for beginners and advanced users who want to save time and boost productivity.
Read Full Article
23 Likes
For uninterrupted reading, download the app