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Data Science News
Medium
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176
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OpenAI Develops an AI Device Inspired by the Movie “Her”
- OpenAI has developed an AI device inspired by the movie 'Her'. The device's full functionality with real-time video recognition was demonstrated during a presentation.
- OpenAI is collaborating with Jony Ive, the former chief designer at Apple, for the device's design. The company is also recruiting experts, like Caitlin Kalinowski, to integrate AI into physical devices.
- OpenAI plans to create an ecosystem of physical AI solutions beyond traditional software. The first device is expected to be impactful, intuitive, and user-friendly, like the AI companion from the movie 'Her'.
- The development of personal AI technologies could change the interaction between human and artificial intelligence.
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Analyticsindiamag
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AI is Fueling the Passion Economy Revolution
- AI tools such as ChatGPT, Copilot and Claude, are enabling individuals to scale their passion businesses and ideas without large teams or capital.
- The concept of the 'one-person billion-dollar startup' empowered by AI is not new, and shifts like this will empower individuals to cater to niche markets and scale passions globally.
- The goal is that humans can do more things only humans can do, as AI automates and founders deliver more value to the world.
- The World Economic Forum predicts that by 2030, 85% of new jobs will be in the passion economy, highlighting its potential in reshaping the future of work.
- Systemic changes such as Universal Basic Income (UBI) and Universal Basic Compute (UBC) will be the foundation for this new reality, where GDP will grow because of AI and not extra work hours.
- UBC is suggested as a long-term and sustainable alternative to UBI, depending on the power of compute, where owning part of the productivity is possible and sustainable computation is increasing in importance in scaling AI.
- The global market for autonomous AI and agents is expected to hit $28.5 billion by 2028, necessitating the need for UBI.
- AI's full impact isn't yet widely felt, as it approaches a tipping point and governments and businesses must collaborate to support change.
- As GDP becomes less relevant, progress must be measured by well-being and quality of life, not just work.
- AI can contribute to a more fulfilling and purpose-driven society by enabling people to focus on passions and interests rather than just facing a crisis of meaning rather than money.
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Analyticsindiamag
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2.5k
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What the AI is Danish Sait Doing at AWS re:Invent 2024?
- Comedian and content creator Danish Sait attended AWS re:Invent 2024 in Las Vegas, raising eyebrows among tech enthusiasts.
- Sait embraced the experience despite the contrast in his field and expressed curiosity about the conference.
- He admitted that he currently doesn't use AI in his work but hopes to explore its potential after attending the event.
- Sait believes in the importance of human interpretation and personal touch in the creative process.
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TechBullion
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The Role of AI and Data Science in Transforming the Finance Industry
- The finance industry is seeing extensive transformation due to advancements in AI and Data Science. The technologies are reshaping traditional banking models and enabling more informed decision-making processes. AI and Data Science are essential components of modern financial services.
- AI technologies are used in various financial domains, including fraud detection, algorithmic trading, credit scoring, and customer services. More than 70% of financial services firms have already implemented AI applications.
- AI-driven systems analyze large amounts of transactional data in real-time to detect fraudulent activities, leading to a reduction in fraud-related losses by up to 40%, according to a PwC report. HSBC and JPMorgan Chase use AI for real-time scenario analysis, stress testing, and anti-money laundering compliance.
- Goldman Sachs has integrated AI-driven models to analyze vast amounts of market data in real-time, enabling optimal trades execution and improving trading strategies. Algorithmic trading has grown rapidly and now accounts for 60-70% of the total trading volume in U.S. equity markets.
- AI-powered chatbots are now handling 85% of customer interactions in financial institutions, according to Zipdo's report. Bank of America has developed Erica, an AI-powered virtual assistant that helps manage finances, provides personalized financial advice, and alerts customers to potential savings opportunities.
- TMA Solutions, one of the leading fintech companies, has developed an AI-driven call center assistant tailored for financial institutions. The solution uses real-time speech recognition and an AI-powered knowledge base to elevate customer service, improving efficiency and reducing workload and operational costs.
- As the finance industry continues to embrace AI and Data Science, the potential for further advancements is limitless, promising a future where AI and Data Science are central to every facet of financial operations.
- The use of AI and Data Science is necessary for the finance industry's evolution. These technologies offer unprecedented capabilities, making them indispensable for financial institutions seeking to stay competitive in an increasingly digital world.
- AI and Data Science allow financial institutions to make data-driven decisions and deliver exceptional customer experiences leading to industries' efficiency and competitiveness.
- The finance industry will continue to evolve with these innovations, promising a future where AI and Data Science are central to every operation's facet.
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Analyticsindiamag
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386
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Amazon Takes On Microsoft and OpenAI with Nova
- Amazon Nova is a new family of foundational models launched by Amazon at the AWS re:Invent conference.
- The models are cost-effective, offering up to 75% less cost compared to other leading models.
- They are deeply integrated with Bedrock knowledge bases and can perform tasks like text summarization, translation, and document processing.
- Amazon Nova also includes models for creative content generation, allowing users to generate high-quality images and videos.
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Analyticsindiamag
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88
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AIM Predictions 2025
- Agentic AI is expected to continue to grow massively in 2025.
- AI in Healthcare will witness an increasing adoption, where medical copilots can assist healthcare practitioners with analysing and summarising reports, discovery and protein research are also seeing huge growth.
- Personal Use of Humanoids and their integration in people’s homes might become a reality in 2025.
- Generative AI in 3D modelling is another area that promises to explode in the coming year.
- Edge computing is becoming more critical than ever before for running LLMs on phones.
- China is consolidating the world's top AI talent and is expected to lead the AI race.
- Gartner named agentic AI ‘the emerging trend for the year 2025', indicating that autonomously operating agents would have a significant impact across enterprises.
- AI innovation follows a predictable path and by 2025, breakthroughs in 3D modelling is expected to reshape industries from gaming to design via world models.
- Unlike generating images or videos from text, using generative AI to convert images to 3D models is considered highly complex.
- Tech giants like Oracle, Microsoft, Google, and Salesforce have launched their agentic suite of products, addressing verticals such as HR, finance, operations, supply and more in the second half of this year.
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Analyticsindiamag
3w
818
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Apple Intelligence is Nothing without AWS
- Apple has been utilizing Amazon Web Services (AWS) to power its AI and machine learning features.
- The partnership between Apple and AWS has been crucial in scaling Apple's ML and AI capabilities.
- Apple leverages AWS's solutions, including Graviton and Inferentia chips, to boost efficiency and performance.
- Apple Intelligence, which integrates AI-driven features, is powered by Apple's own large language models and is developed with a focus on user privacy.
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Mit
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17
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A new way to create realistic 3D shapes using generative AI
- MIT researchers have developed a new technique called Score Distillation to generate realistic 3D shapes for virtual reality, filmmaking and engineering design applications.
- The Score Distillation activities allow the creation of 3D shapes by using 2D image generation models that appear more lifelike and more realistic.
- MIT researchers have achieved high-quality 3D shapes using Score Distillation without additional training or complex post-processing.
- The researchers identify a mismatch between a formula that forms part of the SDS process and its counterpart in 2D diffusion models as the root cause of low-quality 3D models.
- Rather than randomly sampling the noise term, the approximation technique infers it from the current 3D shape rendering to generate sharp and realistic 3D shapes.
- The method relies on a pre-trained diffusion model and inherits the biases and shortcomings, making it prone to hallucinations and other failures.
- Future work can help facilitate the process of creating more realistic 3D shapes by improving the mathematical understanding of Score Distillation and other related techniques.
- This work is funded by the Toyota Research Institute, the US National Science Foundation, and various other organizations.
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Dev
3w
251
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Mull It Over
- In Part 1, the author uses regex to find all instances of mul(N,N) and performs the appropriate extraction and math for each match.
- For Part 2, the author uses regex to match do() and don't() occurrences and then isolates each stretch of valid statements to check for mul statements to parse.
- The author implements an algorithm to handle various conditions, finds the start and end indices for each substring, and calculates the muls in the substrings.
- The code generates the correct answer for both the example input and the author's puzzle input.
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Dev
3w
145
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Demystifying Algorithms: The Hourglass Sum Problem
- The hourglass sum problem involves finding the maximum "hourglass" sum in a 2D matrix.
- The goal is to calculate the sum of all elements in every possible hourglass and return the maximum sum.
- This problem is often used to test proficiency in array manipulation, nested loops, and problem-solving skills in coding interviews.
- The algorithm iterates through all valid hourglass positions, calculates the sum, and keeps track of the maximum sum encountered.
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Dev
3w
361
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Demystifying Algorithms: Binary Representation
- Binary representation is the method of expressing numbers in the base-2 numeral system, which uses only two digits: 0 and 1.
- This post explains how to manually compute the binary representation of a number in C#.
- It also discusses a practical problem of finding the maximum number of consecutive 1s in the binary representation.
- Binary representation is critical for storing and manipulating binary data in computers and optimizing algorithms.
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Medium
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39
The Cost of Education Injustice
- Inequities in access to quality education result in a workforce that lacks the skills needed for innovation and productivity.
- Marginalized communities often have underfunded schools with limited resources, leading to difficulties in competing in the job market.
- Nations with greater education inequality experience slower economic growth.
- Education injustice widens societal gaps, leading to social unrest and lack of trust in institutions.
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Medium
3w
163
Life of a Maid: The warrior lady!!!
- A maid's life is defined by hard work and dedication.
- She shoulders the responsibility of managing her own household and caring for others.
- Her work is a means of survival and support for her family.
- She faces invisible struggles, such as poverty, and constantly stretches her earnings.
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Medium
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414
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AI and Data Ethics: Navigating the Complexities of the Digital Age:
- Data Ethics refers to the moral obligations and considerations related to the collection, storage, and use of data in the digital age.
- AI and data science have the potential to bring significant benefits, but also carry risks and conflicts, such as bias and unethical outcomes.
- Examples like the Cambridge Analytica scandal and the need for ethical healthcare data use highlight the consequences of unethical data practices.
- Balancing innovation with privacy and establishing universal ethical standards are key challenges in data ethics as technology evolves.
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Medium
3w
119
Image Credit: Medium
How to Make Peace With Your Face
- Estimations around our appearance are often charged and we struggle to accept them.
- Our perception of how we look in a mirror or photo may not align with how others see us.
- Sometimes, seeing ourselves as a stranger can make us realize that we don't recognize our own reflections.
- A woman named Helen experienced this when she saw an elderly woman approaching in a reflection, only to realize it was herself at 80 years old.
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