Connect with us

Technology

Johann Sebastian Bach’s birth anniversary: The present Google AI-powered Doodle demonstrates that a bot can’t top Bach

Published

on

Individuals, as well, can make like Bach. Or on the other hand rather, artificial intelligence can make like Bach. Or possibly, that is the reason of Thursday’s superb Google Doodle, which guarantees to take any two-bar song individuals type in and transform it into a Bach, or Bachlike, chorale in four sections, played by enchanting little music-box figures of bewigged eighteenth century musicians.

It might just add to the doodle’s appeal that what it really demonstrates is the opposite it embarks to do. It’s not possible for anyone to create like Bach. Particularly not a machine. Individuals definitely realized that. In any case, individuals can have a great deal of fun en route to discovering it out.

Music and math, as indicated by stereotype, will in general gathering together in individuals’ minds. This doodle is a case of the constraints of that premise. It was surely an innovative accomplishment that required an entire group of engineers. Three hundred and six Bach chorales were encouraged into a machine-learning model, called Coconet, which utilized the information to inform the generation of its own harmonizations. (Coconet can even make starting with no outside help, as the group of developers clarifies in a noteworthy blog post, which incorporates sound samples that are extensively more persuading than the pieces created by the Google Doodle.)

Yet, what happens when individuals really type a tune into the doodle is, well, similar to the majority of the random-generator programs online that enable to all to make poems or stripper names or other diversions. In case individuals are not certain about writing themselves, the doodle offers two familiar tunes, “Mary Had a Little Lamb” and “Twinkle, Twinkle, Little Star,” on which it executes a scope of varieties, each time unique, and some of them out and out awful. Concerning Bach’s style, the harmonies may have explicit inspirations of explicit Bach works, yet they don’t sound especially like Bach by any stretch of the imagination — notwithstanding when individuals type in one of Bach’s own tunes as a beginning point.

Musicians and musicologists on Twitter had a great deal of fun playing with the thing throughout the day.

“Throw in a chromatic melody and pump up the tempo to 100 beats per minute and you get a reasonable facsimile of Hindemith,” composed a client named ninedragonspot.

The topic of how far music and melodic style are quantifiable is a progressing issue in artificial intelligence. Gerhard Widmer, a researcher in Austria, has been working for a considerable length of time trying different things with instructing PCs to separate components of style in execution, in ventures with names, for example, “Computational music performance research.” As long prior as 2003, he and his group gave a PC 13 recordings of Mozart piano sonatas and had the PC produce an exhibition of an alternate sonata, played in a similar style as the pianist. It won a prize at a challenge for PC piano execution rendering. In any case, that doesn’t respond to the topic of whether it was really satisfying to the ear.

This isn’t to tease the doodle, which outstandingly satisfied its motivation of getting individuals to discussion and consider creation when all is said in done, and Bach specifically, a couple of days before his 334th birthday celebration. The goal, as per Leon Hong, an individual from the Google Doodle group, in the going with video Google released about the project, is “combining art with technology and allowing people to create things they couldn’t create before.” Asking whether the thing in this way made is advantageous is maybe beside the point.

Technology

Qualcomm Broadens Snapdragon X Series for AI-Powered PCs

Published

on

A well-known chip manufacturer worldwide, Qualcomm has announced plans to increase the range of its Snapdragon X Series products. According to the details, the new expansion will bring a new platform that will benefit more Windows PCs by offering better performance, longer battery life, and on-device AI capabilities.

Beginning in the middle of 2024, original equipment manufacturers (OEMs) plan to release PCs with Snapdragon X Plus and Snapdragon X Elite technology together.

The company released a statement describing the Snapdragon X Plus’s “Qualcomm Oryon CPU,” a specially integrated processor that offers up to 37% faster performance than rival models while using up to 54% less power.

“With radical new AI experiences emerging in this period of rapid development and deployment, Snapdragon X Plus will power AI-supercharged PCs that enable even more users to excel,” stated Kedar Kondap, SVP and general manager of Qualcomm Technologies’ compute and gaming division.

Kondap continued, “We are once again pushing the boundaries of what is possible in mobile computing by delivering leading CPU performance, AI capabilities, and power efficiency.”

The Qualcomm Hexagon NPU, which can process 45 TOPS (tera operations per second), powers the chip, which is said to be the fastest laptop NPU in the world. It is made to meet the demands of on-device AI-driven applications.

The Snapdragon 7+ Gen 3 chipset, the newest member of the Snapdragon 7-series lineup, is released by Qualcomm. With major improvements to both performance and features, it is positioned as the most sophisticated mid-range chipset to date. Its compatibility with on-device generative AI models, including Baichuan-7B, Llama 2, and Gemini Nano, is one noteworthy improvement. With this chipset, CPU performance is improved by up to 15% and GPU performance is impressively improved by 45% over its predecessors.

Photography enthusiasts will find the Snapdragon 7+ Gen 3 chipset ideal as one of its notable features is support for taking 200-megapixel high-resolution photos. To ensure faster and more dependable wireless connectivity, it also has advanced connectivity options like Wi-Fi 7. Users can also enjoy lightning-fast 5G speeds because it is compatible with both Sub6 and mmWave 5G networks.

Continue Reading

Technology

Neura AI Blockchain Opens Public Testnet for Mainnet Development

Published

on

The “Road to Mainnet” campaign by Neura AI Blockchain lays out a complex roadmap that is expected to propel the mainnet to success. With its smooth integration of AI, Web3, and Cloud computing, this much anticipated Layer-1 blockchain offers state-of-the-art Web3 solutions.

Neura has started a new collection on Galxe to commemorate this accomplishment and give users the chance to win a unique Neura NFT.

Neura’s strategy plan outlines how to get the Neura Network in front of development teams that are excited to explore the potential of blockchain technology. Neura AI Blockchain solves issues faced by many Web3 startups with features like an Initial Model Offering (IMO) framework and a decentralized GPU marketplace.

Web3 developers are invited to participate in the AI Innovators campaign, which Neura has launched to demonstrate its capabilities, in exchange for tempting prizes.

This developer competition aims to showcase Neura Blockchain’s AI and platform capabilities, supporting its ecosystem on the Road to Mainnet, rather than just be a competitive event.

Neura Blockchain is at the forefront of utilizing blockchain and artificial intelligence in a world where these technologies are rapidly developing. Because of its custom features that unlock the best AI features in the Web3 space, its launch in 2024 is something to look forward to.

The Road to Mainnet public testnet competition, according to Neura, will highlight important Web3 features like improving the effectiveness of deploying and running AI models, encouraging user participation, and creating a positive network effect among these overlapping technologies.

Continue Reading

Technology

Microsoft Introduces Phi-3 Mini, its Tiniest AI Model to date

Published

on

The Phi-3 Mini, the first of three lightweight models from Microsoft, is the company’s smallest AI model to date.

Microsoft is exploring models that are trained on smaller-than-usual datasets as an increasing number of AI models enter the market. According to The Verge, Phi-3 Mini is now available on Hugging Face, Ollama, and Azure. It has 3.8 billion parameters, or the number of complex instructions a model can understand. Two more models are planned for release. Phi-3 Medium and Phi-3 Small measure 14 billion parameters and seven bullion parameters, respectively. It is estimated that ChatGPT 4 contains more than a trillion parameters, to put things into perspective.

Released in December 2023, Microsoft’s Phi-2 model has 2.7 billion parameters and can achieve performance levels comparable to some larger models. According to the company, Phi-3 can now perform better than its predecessor, providing responses that are comparable to those that are ten times larger.

Benefits of the Phi-3 Mini

Generally speaking, smaller AI models are less expensive to develop and operate. Because of their compact design, they work well on personal computers and phones, which facilitates their adaptation and mass market introduction.

Microsoft has a group devoted to creating more manageable AI models, each with a specific focus. For instance, as its name would imply, Orca-Math is primarily concerned with solving math problems. T.

There are other companies that are focusing on this field as well. For example, Google has Gemma 2B and 7B that are focused on language and chatbots, Anthropic has Claude 3 Haiku that is meant to read and summarize long research papers (just like Microsoft’s CoPilot), and Meta has Llama 3 8B that is prepared to help with coding.

Although smaller AI models are more suitable for personal use, businesses may also find use for them. These AI models are ideal for internal use since internal datasets from businesses are typically smaller, they can be installed more quickly, are less expensive, and easier to use.

Continue Reading

Trending

error: Content is protected !!