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The Future of Music is in AI: David Guetta’s Insights

Super-producer and DJ David Guetta recently made an intriguing statement about the future of music, claiming that it lies in AI technology. While he recognizes that AI is a tool that cannot replace an artist’s taste and emotion, he believes it has the potential to define new musical styles.

Guetta compares the evolution of AI to the invention of influential musical instruments such as the TR-909 and sampler, noting that each new music style is the result of a new technology. This finding is significant because it implies that artificial intelligence can be used to push the boundaries of music and create new genres.

This statement is especially significant for marketers and copywriters because it indicates that the future of music and creativity is inextricably linked to technology. As a result, brands and businesses must keep up with emerging technological trends and incorporate them into marketing campaigns and copywriting. This not only keeps them relevant, but also ensures that their messaging and content resonate with and capture the attention of their audiences.

David Guetta’s comments about the future of music suggest that AI will be critical in defining new musical styles. This insight emphasizes the importance of incorporating emerging technological trends in marketing and copywriting in order to remain relevant and capture audiences’ attention.

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Generative AI Models Struggle to be Adopted by Businesses: Four Major Obstacles

Though business leaders have been intrigued by the public reaction and engagement to this emerging technology, it still requires the right talent, governance, maturity, and budget to succeed. The top four gaps and barriers to entry that businesses encounter when implementing generative AI models are IT governance, data gathering and quality, maturity of tech stack, and cost. This article further explains that governance models should include guiding principles, focused on privacy, data security, algorithmic transparency within AI models, and cybersecurity vulnerabilities. Data quality is the second most significant capability gap, while generative AI adoption requires a level of modernization that most non-traditional tech companies are still embracing. Cost, although not considered a capability gap, is a barrier to entry for most businesses as large models require a lot of computing power. Vendors have already started customizing generative AI models to specific business needs, making it more accessible and affordable for enterprises.

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Is AI a Threat to Architects?

ChatGPT, OpenAI’s powerful chatbot, has issued a strong warning to architects about the potential threat that AI poses to their profession. Architects who ignore AI’s potential “risk sleepwalking into oblivion,” according to the bot, with the technology set to revolutionize the industry and potentially render traditional architects obsolete. AI is progressing to the point where it can generate building designs autonomously faster and with greater accuracy than ever before, removing architects from the equation. ChatGPT encourages architects to take advantage of AI’s potential in order to avoid being left behind or forgotten. The rise of AI has become a major topic of discussion among architects and designers, with the technology expected to be a top trend in 2023. As AI evolves and becomes more advanced, it may soon be able to perform some of the functions of a human architect. Architects must pay attention to AI’s potential to revolutionize the industry or risk becoming obsolete.

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The AI Revolution and the Singularity: Insights from a Pioneer

AI is transforming computing, and the prospect of artificial general intelligence and the “singularity” – the point at which machines outperform humans in capability – is closer than we thought. Turing Award winner and former Stanford University professor John Hennessy believes that AI systems such as ChatGPT are propelling us toward these technological dreams. While AI has revolutionized computing by making speech recognition commonplace and allowing us to unlock our phones with our faces, new developments in AI such as ChatGPT and Bard are generating new text and imagery, holding conversations, and even writing programs and poetry.

The question is whether AI can match the versatility of the human brain. Despite this uncertainty, Hennessy is optimistic about AI’s ability to continue to improve. The fundamental breakthrough in AI is learning from training data, which allows computers to navigate the complexities of the real world without the use of if-this-then-that software.

One issue with generative AI is that it has the potential to mislead us. Hennessy, on the other hand, sees AI as a “amplifier” that can help us improve what we produce. Google has similar concerns, which is why they waited until ChatGPT had gained so much traction before releasing Bard. While the AI revolution is breathtaking, we must exercise caution and ensure that we do not release a system that says or creates harmful or harmful things.

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New high-speed technology 3D-prints complex objects and biological cells using holographic ultrasound

A radical new high-speed 3D printing process can print objects, solid particles, gel beads and even biological cells. The new process uses multiple acoustic holograms to generate pressure fields.

The research paves the way for creating novel 3D cell culture and for other biomedical tissue engineering, according to researchers at the Max Planck Institute for Medical Research and Heidelberg University.

With conventional additive manufacturing, objects are slowly constructed one line or layer at a time and mechanical or chemical stress is applied to biological structures.

Potential 3D printing breakthrough in biomedical engineering and rapid prototyping

The scientists have demonstrated how to form a 3D object in a single step, using shaped ultrasound (high-frequency sound waves commonly used for medical imaging tests). The process uses multiple acoustic holographic fields that drive a contactless assembly of solid micro-particles, hydrogel beads, and biological cells inside standard labware.

The process is promising for rapid prototyping, most notably biofabrication, since conventional methods are typically slow and apply mechanical or chemical stress on biological cells.

The researchers suggest that their technology is a promising method of forming cell cultures and tissues in 3D, because ultrasound is gentle and can travel deep into biological tissue. The structures can also be fixed (held in place) via gelation of the surrounding medium, assembling different classes of matter — solid particles, biological cells, and hydrogel beads — into 3D shapes in one shot.

In contrast to previous work, this approach handles matter with positive acoustic contrast and does not require opposing waves, supporting surfaces or scaffolds.

Science Advances paper (open access): Compact holographic sound fields enable rapid one-step assembly of matter in 3D

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AI, Machine Learning, and Blockchain: How the Crypto Industry is being Disrupted

The crypto industry is being significantly disrupted by the combination of AI, machine learning, and blockchain. When the three technologies are combined, they offer a huge range of applications and opportunities. One of the advantages of blockchain technology is that it provides traceable nodes and secures distributed databases, providing transparent data sources for AI applications. Developers can also use decentralized ledger technology to ensure that no single server handles all of an application’s operations, and network parties working together can develop strong privacy protection. AI-generated smart contracts aid in the prevention of potential exploitation and provide improved traceability for malicious actors attempting to breach the system by breaking its codes or contracts. The Metaverse, an innovative digital universe that combines the power of artificial intelligence with blockchain-based technologies, provides enormous opportunities in artificial intelligence by accurately assessing and forecasting user behavior. Organizations can make faster decisions based on larger data sets and optimize operational efficiency in productive ways by leveraging the speed, power, and scope of AI and blockchain.

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Revolutionizing Video Creation: Introducing Gen-1, the AI Model That Generates Videos from Text

Runway has just announced the release of its latest AI model, Gen-1. This innovative tool allows users to create AI-generated videos from text prompts or by using existing videos. With five different modes for styling videos, Gen-1 gives users the power to stylize, storyboard, mask, render and customize videos with a simple text prompt or image. The early access to Gen-1 is now open, and those interested can join the waitlist by filling out a Google Form. The company even offers the opportunity to move up the waiting list by referring the tool to friends. With this latest release, Runway continues to pave the way for the growth of generative AI, and Gen-1 is set to become the go-to tool for creating amazing AI-generated videos.

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Amazon Takes the Lead in Chatbot Advancement with Multimodal-CoT

The latest language models from Amazon are making waves in the world of chatbot technology. In a recent study, the company’s new models outperformed GPT-3.5 on the ScienceQA benchmark by a whopping 16 percentage points. This benchmark is a large set of annotated multimodal science questions with over 21,000 multimodal multiple-choice questions.

The use of Multimodal-CoT, a two-stage framework that combines visual and language representations to elicit more effective reasoning and answer inference, is critical to Amazon’s success. By utilizing a novel combination of vision and language inputs in the inference and reasoning-generating stages, this technique outperforms the previous state-of-the-art GPT-3.5 model.

Finally, the study by Amazon researchers emphasizes the significance of visual features in developing more effective rationales and contributing to more accurate answer inference. Amazon has clearly taken the lead in the race for the best chatbot solution, as other companies scramble to keep up.

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The Clean Air Revolution: Electric Cars Making California Healthier

According to a new study from the Keck School of Medicine at the University of Southern California, the increased use of electric vehicles has resulted in cleaner air in California. The study, which tracked real-world pollution levels, electric car penetration, and emergency room visits across the state from 2013 to 2019, discovered that areas with higher EV penetration had lower nitrogen dioxide concentrations in the atmosphere and fewer asthma-related emergency room visits.

Every 20 EVs per 1,000 Californians in a specific zip code was linked to a 3.2% decrease in asthma-related ER visits and a.41ppb decrease in nitrogen dioxide concentrations. During the study period, the installed base of EVs in California increased from 1.4 to 14.7 cars per 1,000 people, and even with such a small number of EVs, the benefits of cleaner air were seen.

While the benefits of cleaner air have not been distributed equally, as poorer areas have fewer EVs, the study emphasizes the importance of reducing fossil fuel pollution, which the IMF estimates costs the world $5.3 trillion in health and environmental costs each year.

However, the challenges of getting EVs into poorer areas, such as upfront costs and access to off-street parking, must be addressed. Tax credits for used EVs and improved public transportation are among the solutions that can provide disproportionate benefits to poorer communities.

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The Future of Film: Runway’s Generative AI Gen-1 Takes Video Creation to the Next Level

Stable Diffusion’s spin-off company, Runway, has released a new AI technology called Gen-1, capable of turning any video into a visually stunning masterpiece. The company has labeled this approach “video to video” and promises that it’s the next step forward in generative AI. The AI currently has five different modes, including “stylization,” “storyboard,” “mask,” “render,” and “customization,” each offering a unique way to manipulate and enhance source videos. The CEO of Runway, Cristóbal Valenzuela, states that Gen-1 is one of the first models developed with video makers in mind and has already been used in several feature films. He also predicts that in the near future, most of the content we see online will be generated by AI. Get ready to experience the magic of movie-making like never before with Runway’s revolutionary Gen-1 technology.

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