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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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Easing the Expense Report Blues: Microsoft & Amex Tap AI for Smarter Solutions

Expense reports are a tedious and time-consuming task, but AI may change that. Microsoft and American Express have partnered to leverage Microsoft Cloud and AI technologies to improve expense report management. The solution, which is built in-house by Amex, will automate expense reporting and approvals by using machine learning and an AI-powered decision engine that understands the company’s travel and expense policy. The system will use an employee’s purchase and payment history to categorize and assign a risk score to individual transactions, which can then be automatically approved. Microsoft will be the first to test the solution and later integrate it with its own internal expense system. Although there is skepticism about the accuracy of AI-powered solutions, the technology is quickly advancing in the financial services and corporate travel industry.

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Flexible Intelligence: The Future of AI with Liquid Neural Networks

Researchers in artificial intelligence have made significant progress in creating neural networks that mimic the structure of the human brain. Traditional neural networks, on the other hand, lack the adaptability to new situations and circumstances. In 2020, MIT researchers introduced “liquid neural networks,” which were inspired by the roundworm Caenorhabditis elegans. These networks can run faster and more accurately than traditional continuous-time neural networks, and their underlying algorithms can be changed on the fly. A probabilistic process governs the strength of connections between artificial neurons in liquid networks, giving the networks built-in variability that makes them more adaptable. A liquid network was used to steer an autonomous car in an early test, and it was much more responsive than a conventional neural network. The development of liquid neural networks, which offer a more flexible and adaptable approach to machine learning, bodes well for the future of AI.

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The Power of AI in Personalized Learning: Revolutionizing Education

Andreessen Horowitz a16z looks at the introduction of AI technology such as ChatGPT that has sparked significant debate about its impact on various fields, particularly education. While some are concerned that it will lead to cheating and the replacement of human teachers, the truth is that if used correctly, AI has the potential to greatly improve students’ ability to think critically and expand their soft skills. Here are five predictions for the impact of artificial intelligence on education and learning:

  • With the help of AI, one-on-one support for services such as tutoring and therapy will become more accessible to a wider range of people.
  • With AI’s ability to adapt to students’ learning modalities, interests, and skill levels, personalized learning will become a reality.
  • The use of AI-powered virtual mentors and historical figures will help learners gain access to mentorship opportunities.
  • AI-augmented therapy will provide patients who are hesitant to seek help from a human therapist with more affordable and approachable options.
  • AI will revolutionize assessments and testing by accurately tracking knowledge and progress, as well as providing personalized feedback and content reformatting.

By investigating these predictions and applications, it is clear that AI has the potential to transform education and learning by making it more personalized, accessible, and engaging for all.

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The A.I. Wars Heat Up: Google’s $100 Billion Mistake with Bard Chatbot

The artificial intelligence market is becoming more competitive as tech companies strive to outperform one another with AI-powered products. The unveiling of Google’s upcoming AI chatbot, Bard, was marred by technical difficulties and an error in its first advertisement, resulting in a $100 billion loss in market value for Alphabet, Google’s parent company. With its fast-growing consumer app status and potential to disrupt internet searches, OpenAI’s ChatGPT, a human-like text generating chatbot, is ahead of the competition. Microsoft, Google, and Baidu are all rapidly developing their own AI products, with Google being the most advanced, having developed LaMDA, a language learning model similar to ChatGPT. Bard’s error, on the other hand, emphasizes the importance of a thorough testing process before broad release, as it joins other chatbots in providing inaccurate and biased responses.

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