Latest news with #DALL-E
Observer
2 days ago
- Observer
Rethinking design collaboration in the age of AI
Artificial Intelligence (AI) is rapidly redefining how interior designers think, work and imagine spaces. No longer a niche innovation, AI has become a vital tool that complements and enhances human creativity in architectural and spatial design. Through the integration of technologies like generative design algorithms, machine learning and predictive modelling, designers can now explore a wider range of possibilities, assess functional scenarios and visualise environments in real-time. This shift marks a transition from tool-based design thinking to collaborative intelligence, where the designer and the digital system work in tandem to generate high-performing, user-centric interiors. Interior designers have always navigated a complex intersection of art, psychology and function. However, with the advent of AI, their role has evolved into one that requires strategic digital literacy. The modern designer must understand not only how to create beautiful spaces but also how to curate data, interpret algorithms and frame intelligent queries that prompt meaningful design outputs from AI systems. AI-driven tools such as parametric modelling platforms and automated layout systems empower designers to explore iterations at unprecedented speed. Still, the ability to extract cultural meaning, ensure emotional resonance and respond to human values remains a uniquely human strength — beyond the reach of even the most sophisticated machines. AI's ability to generate visual interpretations based on written or conceptual prompts — seen in systems like MIDJOURNEY or DALL-E — has sparked both excitement and debate in the creative industries. Designers can now produce complex visual compositions in minutes, rapidly testing ideas without the need for extensive manual input. Yet, what these images often lack is semantic depth — the embedded cultural, psychological and experiential context that informs truly human design. This highlights a critical distinction: AI can produce images, but only designers can assign them meaning. While AI offers combinatorial creativity — reconfiguring what already exists — it does not originate ideas rooted in human memory, history, or place. A significant challenge facing interior design education today is the disconnect between academia and industry practice. While professional environments increasingly rely on data-rich design tools and AI-integrated workflows, many academic programmes continue to focus on conventional drafting, limited software training and analogue ideation processes. To prepare future designers, universities must revise their curricula to include cross-disciplinary modules in digital ethics, coding basics, environmental analytics and interactive systems. A comprehensive understanding of these tools, coupled with a critical approach to their use, ensures that graduates enter the profession with both technical skills and a grounded design philosophy. As AI becomes more embedded in the design process, it raises important ethical considerations. The question of authorship becomes complex when a designer uses AI tools that rely on massive data sets composed of pre-existing imagery. Who owns the creative output — the user or the machine's developers? Similarly, where does originality lie in a design generated through algorithmic processes? Another concern is the risk of cultural erasure. AI systems trained on dominant aesthetic traditions may unintentionally reinforce homogenised, global design trends, marginalising local styles, languages and user experiences. Designers must therefore actively critique the systems they use and advocate for inclusive databases that respect cultural nuance. The next generation of designers will need to move beyond merely mastering digital tools. They must cultivate a post-digital mindset, where technology is seamlessly integrated into design thinking rather than treated as an external device. This means understanding when and how to engage with AI; and when to rely on instinct, empathy, or lived experience instead. Such a mindset enables designers to navigate complex ethical terrains, manage hybrid creative processes and apply digital outputs within socially and environmentally responsible frameworks. In essence, the future designer is not just a maker of objects but a mediator between systems, communities and ideas. Despite fears surrounding automation, the evidence suggests that AI is far more likely to enhance than replace the designer's role. It can increase speed, reduce error and expand imaginative possibilities — but it cannot replicate human intuition, moral judgement or emotional intelligence. Designers remain responsible for defining intent, evaluating spatial impact and ensuring that every design outcome aligns with user needs and cultural contexts. AI supports these goals by providing data-enhanced visualisation, performance forecasting and interactive scenario planning — but only the designer can translate these tools into holistic spatial narratives. What this evolution demands is not simply new technical skills, but a new design discourse — one that acknowledges the role of AI while reinforcing the value of the human voice. Moving from a binary view of "machine versus maker" to a more nuanced understanding of "machine with maker" empowers designers to claim agency within this digital transformation. Ultimately, the success of AI in interior design depends on our ability to use it with purpose, reflection and care. It is not the tool that creates meaningful design, but the values, intentions and interpretations that the designer brings to it. Dr Dina Mohamed Aboushall Dr Dina is an Assistant Professor in Interior Design at Al Zahraa College for Women, Muscat, Oman
Yahoo
3 days ago
- Business
- Yahoo
Generative AI and Its Economic Revolution: What's Next?
"Generative AI is transforming global markets by creating innovative solutions across industries, from automating content creation to designing products. This technology is driving economic growth, reshaping jobs, and opening new opportunities worldwide." BOSTON, May 29, 2025 /PRNewswire/ -- According to the latest study from BCC Research, the demand for Generative AI: Global Markets was valued at $15.4 billion in 2023 and is projected to grow from $20.8 billion in 2024 to $94.4 billion by the end of 2029, at a compound annual growth rate (CAGR) of 35.3% from 2024 through 2029. This report provides a comprehensive analysis of the global generative AI market, covering trends, challenges, and key players. It includes data from 2023 to 2029, examining market segments like offerings (software, hardware, services), data types (text, audio, images), applications, industries, and regions. Additionally, it highlights innovations, regulations, ESG developments, patents, funding, and competitive strategies in the generative AI landscape. Interesting facts Advances in deep learning, transformers, and neural networks like GPT and DALL-E have boosted generative AI, enabling AI systems to create human-like text, images, and code. Global AI adoption rose from 50% in 2022 to 55% in 2023. Personalization is key for customer retention, with 89% of business leaders seeing it as critical for success in the next three years. Short-video content is on the rise, with a 10% increase in demand as more users embrace video, driven by social media platforms and startups. Factors contributing to the growth include: Rising demand for personalized content and experiences: The growing demand for personalized content and experiences reflects consumer preference for tailored interactions that enhance satisfaction and brand loyalty. Advancements in artificial intelligence (AI) and machine learning (ML): Advancements in AI and ML are enabling smarter systems, improved automation, and data-driven decision-making across industries. Proliferation of cloud computing and AI-as-a-service (AIaaS): The proliferation of cloud computing and AI-as-a-Service (AIaaS) is making advanced AI tools more accessible, scalable, and cost-effective for businesses worldwide. Growing demand for automation across industries: The growing demand for automation across industries is streamlining operations, reducing costs, and increasing productivity through advanced technologies. Request a Sample Copy of the Report Generative AI: Global Markets Report Synopsis Report Metric Details Base year considered 2023 Forecast period considered 2024-2029 Base year market size $15.4 billion Market size forecast $94.4 billion Growth rate CAGR of 35.3% from 2024 to 2029 Segments overed Offering, Data Type, Application, End-User Industry, and Region Regions covered North America, Europe, Asia-Pacific, Rest of the World Countries covered U.S., Canada, Mexico, Germany, the U.K., France, Japan, China and India Market drivers • Rising demand for personalized content and experiences. • Advancements in AI and ML. • Proliferation of cloud computing and AI-as-a-service (AIaaS). • Growing demand for automation across industries. This report addresses the following questions: What is the projected market size and growth rate?The global generative AI market was valued at $15.4 billion in 2023 and will reach $94.4 billion by the end of 2029, at a CAGR of 35.3% during the forecast period. What factors are driving the growth of the market?The global generative AI market is driven by rising demand for personalized content, advances in AI and machine learning (ML), and growth in video and audio content creation. In addition, the proliferation of cloud computing and AI-as-a-Service (AIaaS) will also make generative AI accessible to smaller businesses, accelerating market expansion. Which data type will be dominant over the forecast period?Textual data types will dominate the market, driven by its widespread application in various industries, including content creation, customer service, and data analysis. The text segment is expected to maintain its dominance throughout the forecast period, driven by ongoing advances in NLP technologies and the increasing demand for AI-generated content. Which region has the largest market share?In 2023, North America had the largest market share in the global generative AI market. The region is expected to maintain its dominance throughout the forecast period due to the rising adoption of technologies and significant investments in digital transformation across industries. Market leaders include: Accenture Adobe Alibaba Group Holding Ltd. Alphabet Inc. (Google) Inc. Anthropic PBC Capgemini IBM Lumen5 Meta Microsoft Nvidia Corp. OpenAI Persado Simplified (TLDR Technologies Inc.) Related reports include: Global Artificial Intelligence (AI) Market: Investments vs. Potential: Investments in the global AI market are aimed at unlocking its immense potential in areas like automation, healthcare, and finance. Despite growing funding, the full scope of AI's capabilities is still unfolding, offering vast opportunities for innovation and growth. Artificial Intelligence (AI) in Life Sciences Market: AI in the life sciences market is revolutionizing healthcare by accelerating drug discovery, improving diagnostics, and enabling personalized treatment plans. Its applications are enhancing research, clinical trials, and patient care, driving innovation and efficiency in the life sciences industry. Navigate Uncertainty with Confidence In times of rapid change and uncertainty, having the right insights can make all the difference. At BCC Research, we're here to support innovation and help you stay ahead. Our custom research reports provide a comprehensive, 360-degree view of your market landscape—giving you the clarity you need to make informed decisions. We believe that timely, expert market intelligence should be accessible to all. That's why, for a limited time, we're offering 30% off the price of any BCC Research report to help more organizations gain access to our latest data and insights. Purchase a copy of the report direct from BCC Research. For further information on these reports or to purchase one, contact info@ About BCC Research BCC Research market research reports provide objective, unbiased measurement and assessment of market opportunities. Our experienced industry analysts' goal is to help readers make informed business decisions, free of noise and hype. Contact Us Corporate HQ: 50 Milk St., Ste. 16, Boston, MA 02109, USA Email: info@ Phone: +1 781-489-7301 For media inquiries, email press@ or visit our media page for access to our market research library. Any data and analysis extracted from this press release must be accompanied by a statement identifying BCC Research LLC as the source and publisher. Logo - View original content to download multimedia: SOURCE BCC Research LLC Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
&w=3840&q=100)
First Post
19-05-2025
- Business
- First Post
Op Sindoor effect? Defence stocks at new record, 50% spike since February low
India's listed defence companies have reached a record market capitalisation of Rs 11.23 lakh crore, driven by renewed investor appetite, geopolitical concerns, and sustained policy focus on domestic defence manufacturing read more The value of Indian defence stocks has surged in recent weeks. AI-generated image via DALL-E India's listed defence companies have reached a record market capitalisation of Rs 11.23 lakh crore, driven by renewed investor appetite, geopolitical concerns, and sustained policy focus on domestic defence manufacturing. The rally, captured in the continued strength of the Nifty India Defence Index, marks a sharp turnaround for the sector after a prolonged correction. The index has climbed 9 per cent so far in May, extending gains of 11.5 per cent in April and 24.6% in March. This surge follows a 33 per cent slump between July 2024 and February 2025. Since bottoming out in February, the benchmark has staged a cumulative recovery of over 50 per cent. The current valuation is significantly higher than the previous peak of Rs 10.09 lakh crore seen in July last year and up nearly 62 per cent from the February low of Rs 6.95 lakh crore, Moneycontrol reported. STORY CONTINUES BELOW THIS AD Despite the broad gains, only six of the 18 stocks within the index have surpassed their earlier record highs. The rest remain below previous peaks, pointing to a rally concentrated in select names. Shares of firms such as DCX Systems, MTAR Technologies, Dynamatic Technologies, Cyient DLM, Unimech Aerospace and Manufacturing, Data Patterns, Mishra Dhatu Nigam, Astra Microwave Products, Hindustan Aeronautics, and BEML have surged between 55 per cent and 112 per cent from their 52-week lows hit in March and April. Eight other defence stocks that touched their lows earlier in 2024 have also rebounded, delivering returns ranging from 58 per cent to 200 per cent. These include Cochin Shipyard, Bharat Dynamics, Mazagon Dock Shipbuilders, Zen Technologies, Bharat Electronics, Solar Industries India, Paras Defence and Space Technologies, and Garden Reach Shipbuilders. The rally gained momentum after tensions flared between India and Pakistan in early spring, followed by a wave of investor optimism as the market corrected and rebounded. Prime Minister Narendra Modi's renewed focus on boosting indigenous defence production under the Make in India initiative has also strengthened sentiment. His call for advancing modern military capabilities and promoting local manufacturing has reinforced expectations that government support for the sector will continue. Interest from more than a dozen countries in acquiring India's BrahMos missile system following its deployment during Operation Sindoor has added to investor confidence in the export potential of Indian defence technologies. STORY CONTINUES BELOW THIS AD Institutional buying has picked up as well. Mutual funds increased their exposure to 11 of the 18 listed defence firms in April. Hindustan Aeronautics saw inflows of Rs 505 crore, raising mutual fund holdings to Rs 13,480 crore. Solar Industries India attracted Rs 119 crore, taking the total to Rs 15,510 crore. Mazagon Dock Shipbuilders received Rs 78 crore in fresh investments, bringing its mutual fund holdings to Rs 1,727 crore. Other companies that drew institutional interest include Zen Technologies, BEML, Data Patterns, Garden Reach Shipbuilders, Mishra Dhatu Nigam, and Dynamatic Technologies, with inflows ranging from Rs 2 crore to Rs 60 crore. On the other hand, Bharat Electronics recorded the largest outflow, with mutual fund holdings dropping by Rs 893 crore to Rs 33,619 crore. Smaller reductions were also seen in Cochin Shipyard, Astra Microwave Products, Unimech Aerospace, and MTAR Technologies. Sandeep Bagla of Trust Mutual Fund said rising regional tensions are likely to drive continued increases in defence budgets, making the sector an attractive long-term investment opportunity. STORY CONTINUES BELOW THIS AD Anil Rego, chief executive at Right Horizons PMS, called defence both a structural and tactical play. He cited the government's consistent push for modernization, a growing export pipeline, and ongoing reforms under the Atmanirbhar Bharat program as key factors supporting the sector's long-term potential.
&w=3840&q=100)
Business Standard
14-05-2025
- Science
- Business Standard
Apple previews AI model that builds 3D scenes using images: How it works
Apple has published a new research paper detailing an artificial intelligence (AI) model called Matrix3D. Developed in collaboration with researchers from Nanjing University and The Hong Kong University of Science and Technology, Matrix3D enables the reconstruction of detailed 3D scenes and objects using only a few 2D images. This marks a significant shift in how photogrammetry – an established technique for reconstructing 3D structures from photos – is approached. What is photogrammetry In its research paper, Apple noted that photogrammetry is a process of using 2D photographs to measure and recreate 3D structures or environments. Traditionally, this process has required hundreds of images taken from various angles and involves a multi-step pipeline using different algorithms for tasks like camera pose estimation (figuring out where each camera was when the photo was taken), depth prediction, and 3D model construction. How Matrix3D streamline photogrammetry process Apple's Matrix3D addresses two major challenges in traditional photogrammetry: the need for a large number of images from multiple angles, and the use of separate models for each stage of reconstruction. Matrix3D solves both problems by unifying the entire process into a single model. It can estimate camera positions, generate depth maps, and even synthesize novel views — all from just a few input images. How Matrix3D works At the heart of Matrix3D is a generative AI system based on diffusion transformers, similar to the models powering tools like OpenAI's DALL-E and ChatGPT. During training, the model uses a technique called masked learning, where parts of the input are deliberately hidden so the model learns to predict the missing data. This approach helps Matrix3D effectively handle sparse or incomplete input and significantly expands the range of usable training samples. As a result, Matrix3D can reconstruct detailed 3D objects or entire scenes using just two or three images. Availability and use case The researchers have published their work on arXiv and released the source code on GitHub. A companion website also features demo videos and interactive 3D reconstructions. While there's no official word yet, Matrix3D could eventually be integrated into Apple's Vision Pro headset, allowing users to transform regular 2D photos into immersive 3D experiences.
&w=3840&q=100)
First Post
13-05-2025
- Business
- First Post
Sensex crashes by 1,000 points, Nifty too slumps day after sharp surges
A day after a surge in the wake of the India-Pakistan ceasefire, the Sensex fell by more than 1,000 points and Nifty 50 fell by over 250 points read more Bears mauled the Indian stock market on Tuesday (May 13). Image courtesy: AI-generated image via DALL-E The markets fell on Tuesday after registering a major surge the previous day in the wake of the India-Pakistan ceasefire. The BSE Sensex was down 1,013 points and Nifty 50 was down 259 points at 10:30 pm, according to CNN-News 18. (This is a developing story. It will be updated.)
