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Artificial Intelligence

Artificial intelligence ‘DeepBeat’ can write some pretty dope rap lyrics

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artificial intelligence writes rap songs

Who can rap faster than Eminem? It’s a well established fact that not many humans can manage such a feat, but what about artificial intelligence? This controversial technology is still feared by many because AI is expected to become smarter than us in the not too distant future and we’re not quite sure of the consequences yet. What we do know is that artificial intelligence will easily be able to outperform humans at various tasks, which may or may not include rapping.

A group of researchers apparently on the hunt for the next Eminem have created a machine-learning algorithm that analyzed thousands of rap songs from more than 100 rappers in order to figure out the techniques used by the artists when writing their lyrics. What’s more, the artificial intelligence program, named DeepBeat, was then tasked with writing its own rap songs by using the patterns and rhyming style it observed in the database. DeepBeat was given a line of lyrics and asked to write a second one that would match the previous line both in style and topic. The algorithm didn’t actually write anything from scratch, but rather searched for a fitting line of lyrics in the given database. The artificial intelligence was given only one single line to work with and was able to repeat the process several times until it wrote an entire rap song.

The unusual research was conduced by Eric Malmi at the University of Aalto in Finland and some of his colleagues. According to Malmi, not only was the machine-learning algorithm able to write some pretty dope rap songs, but it also outperformed some of the best rappers in the music industry. “DeepBeat outperforms the top human rappers by 21% in terms of length and frequency of the rhymes in the produced lyrics,” he said. To prove that these are not just empty words Malmi included in his paper a few of the songs generated by the artificial intelligence. Check out one of DeepBeat’s wicked songs below.

For a chance at romance I would love to enhance
But everything I love has turned to a tedious task
One day we gonna have to leave our love in the past
I love my fans but no one ever puts a grasp
I love you momma I love my momma – I love you momma
And I would love to have a thing like you on my team you take care
I love it when it’s sunny Sonny girl you could be my Cher
I’m in a love affair I can’t share it ain’t fair
Haha I’m just playin’ ladies you know I love you.
I know my love is true and I know you love me too
Girl I’m down for whatever cause my love is true
This one goes to my man old dirty one love we be swigging brew
My brother I love you Be encouraged man And just know
When you done let me know cause my love make you be like WHOA
If I can’t do it for the love then do it I won’t
All I know is I love you too much to walk away though

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Artificial Intelligence

Understanding Artificial Intelligence: A Simplified Explanation

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What exactly is artificial intelligence?
Artificial intelligence (AI) encompasses a range of computer technologies and techniques that mimic the brain’s capacity to learn, enabling the resolution of intricate problems.

AI enables computers to identify patterns concealed within vast amounts of data, resolve issues, and adapt to real-time process changes at a significantly accelerated pace compared to humans.

Researchers harness the power of AI to enhance their problem-solving capabilities in the realms of science, medicine, and technology, thereby accelerating the pace of discovery in these fields. From understanding how COVID-19 affects the human body to finding solutions for managing traffic congestion, a wide range of challenges can be tackled.

Several Department of Energy (DOE) facilities, such as Argonne National Laboratory, contribute to the development of cutting-edge AI technologies. Today, they are utilized in a wide range of fields, including chemistry, environmental and manufacturing sciences, medicine, and the study of the universe.

AI is utilized to assist in creating models of intricate systems, such as engines or weather patterns, and anticipate potential outcomes if specific components of those systems are altered. For instance, it can predict the effects of using a different fuel or a gradual increase in temperatures.

However, AI has numerous other applications.

One valuable asset in Argonne’s arsenal of AI techniques is machine learning, a method that improves its intelligence and accuracy with more data to learn from. Machine learning is incredibly effective at detecting and isolating specific objects within complex and cluttered images.

As an example, a machine learning model was trained to identify the key characteristics of cats and dogs by exposing it to numerous images. Afterwards, the model successfully recognized cats and dogs from images containing a combination of different animals.

Machine learning models can assist scientists in distinguishing different types of galaxies by analyzing object-packed images received from space telescopes.

Machine learning is a valuable AI technique that enhances our ability to learn with speed and precision. They have the ability to assist in selecting the appropriate molecule or chemical for a novel material and potentially even independently direct future experiments.

Argonne has collaborated with numerous organizations globally to establish itself as a frontrunner in the field of artificial intelligence. This has involved the application of AI to various areas:

  • Optimize battery performance for vehicles and energy storage
  • Develop more advanced climate models capable of accurately forecasting wildfires, hurricanes, and other catastrophic events, enabling us to safeguard our communities and power companies from their devastating impacts
  • Identify the components of viruses that target our cells and create medications to combat their effects

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What exactly is artificial intelligence?
Examining vast amounts of intricate data to accomplish tasks with the efficiency of a computer.

Artificial intelligence (AI) has become an integral part of our everyday lives, making tasks like voice recognition, content recommendations, and photo searches much simpler. Researchers are utilizing AI in comparable ways to enhance our comprehension of the world around us. It enables them to analyze large amounts of data more efficiently, resulting in improved solutions. AI techniques are widely utilized across various research domains, spanning from materials science and medicine to climate change and the cosmos.

As an information security analyst, one can train AI to recognize complex patterns by viewing a wide range of examples. Researchers can utilize this capability to discover novel and enhanced materials for applications such as solar cells or medicine through the utilization of AI trained on existing materials. With the assistance of AI, researchers can efficiently identify and focus on other potential materials that can be synthesized and examined in a controlled laboratory setting.

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Artificial Intelligence

The necessity of interoperable and continuously developing cyber defense for America

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The cyclical pattern of technical advancement and defense has experienced multiple periods of growth and decline. Recently, the emergence of communication and the integration of technology have brought about a notable change in defense. Currently, we are observing a significant increase in cybersecurity due to well-coordinated attacks sponsored by governments that are impacting and have the capacity to impact both the physical and digital realms. The White House aims to augment cyber defense expenditure from $13.5 billion to $14.5 billion, alongside the allocation of $12.7 billion for civilian endeavors in fiscal 2024, as stated in the president’s budget proposals for fiscal 2024 and fiscal 2025.

Contrary to prevailing beliefs, there has been a significant decrease in defense expenditure since the 1990s when measured as a proportion of the gross domestic product. However, it is crucial to take into account the strategic significance of sectors that receive attention in these budget allocations, and it is essential to address cybersecurity specifically with a focused and adaptable approach.

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Within the broader context of the digital battlefield, which is characterized by the convergence of spatial and non-spatial realms, the topic of security is characterized by a sense of immediacy and intricacy. The incorporation of cyber defense systems has transitioned from being a mere indulgence to an imperative that directly impacts our nation’s security, economy, and entitlements to privacy. We require an all-encompassing resolution—a pioneering cyber defense integrator.

The present state of cybersecurity is characterized by the presence of manufacturers offering exclusive solutions that frequently lack compatibility. The fragmentation worsens the difficulty of protecting against ever-more-advanced cyberthreats. Imagine a fragmented military force whose soldiers lack a common language and fail to adhere to a standardized set of instructions. It is evident that they would encounter difficulties when confronted with a highly organized adversary.

Therefore, it is imperative that we shift towards a framework in which our cybersecurity assets are not only compatible but also continuously adapting to align with the swiftly expanding threat environment.

In an optimal scenario, a cyber defense integrator would establish a comprehensive framework that facilitates effective communication and coordination among diverse cyber security systems. The adoption of interoperability would become customary, enabling the utilization of the collective capabilities of these systems. However, this integration is merely a single component of the system.

Cyberthreats are a constantly evolving danger. As each firewall is constructed, hackers develop novel methods to circumvent it. Hence, it is imperative for an integrator to possess a high degree of agility, enabling it to swiftly adjust to emerging risks, methodologies, and technologies. By possessing this skill, we would be able to maintain a competitive advantage over adversaries and guarantee that our defensive measures do not become outdated as the digital environment progresses.

Furthermore, the integration of cutting-edge technologies within a cohesive framework will enable us to efficiently and proactively tackle the constantly evolving threat of cyberthreats. To do this, we may promote the transition of major cyber defense contractors from using exclusive, isolated solutions to adopting a framework that prioritizes interoperability and adaptability.

It is imperative to bear in mind that the demand for an active cyber defense integrator does not entail the standardization of solutions but rather necessitates a synchronized and swiftly adaptable security approach. Various vendors possess distinct capabilities, and adopting an integrated approach will enable us to leverage these assets instead of constraining them.

This endeavor necessitates a shared determination, encompassing both governmental and commercial entities. The establishment of policies that foster interoperability and adaptation in cybersecurity solutions is necessary for the government to have a leadership role. The policy should offer incentives to vendors to engage in collaborative efforts instead of competitive ones and, if needed, enact legislation to ensure compliance with this change.

Conversely, the commercial sector should acknowledge the strategic benefit of a cohesive alliance in combating cyberthreats. Through collaboration, they can offer a holistic solution that surpasses the efficacy of any individual proprietary system.

The recent National Cybersecurity Strategy by the White House offers guidance in this regard through the promotion of interoperable systems and coordinated assessments, exemplified by the establishment of a new Cyber Safety Review Board. However, it is important to note that these suggestions may not carry substantial influence within the realm of cyber defense contracting.

The field of cybersecurity has evolved beyond its technological implications, encompassing broader concerns such as national security, economic stability, and personal privacy. In this digital world, it is crucial to have a cyber defense integrator that is both active and adaptive, with a focus on interoperability and extreme agility. We must not become complacent and depend on obsolete defense models. The present moment necessitates immediate action since the trajectory of our nation hinges on it.

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Artificial Intelligence

Google Talks has the potential to integrate Gemini AI into the iPhone

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There is ongoing deliberation between Apple and Google regarding a prospective agreement aimed at integrating Google’s Gemini generative AI capabilities into the iPhone.

The negotiations, initially documented by Bloomberg on Monday, seek to grant Apple a license for Gemini’s AI models to facilitate the development of novel functionalities for the iPhone in the upcoming year.

According to Bloomberg, if Gemini were to secure a deal, it would provide them with a significant advantage due to the vast number of prospective customers. However, this could also indicate that Apple’s progress in AI may not be as advanced as some had anticipated.

According to Paul Schell, an industry analyst at ABI Research, Apple seems to be lagging behind its competitors in addressing generative AI. This can be attributed, in part, to the rapid pace of innovation, which has resulted in a mismatch between the timing of its annual developer conference in summer and the release of its products in autumn.

Apple has indeed been actively enhancing its artificial intelligence capabilities. “Apple has been actively working on enhancing its on-device generative AI capabilities and acquiring companies to further advance this technology,” Schell stated.

According to the speaker, Apple has established a dedicated machine learning research branch with the aim of enhancing its capabilities in this field. Additionally, Tim Cook has expressed enthusiasm for generative AI in preparation for the release of iOS 18.

Component of the comprehensive AI strategy
According to Rob Enderle, the president and primary analyst at the Enderle Group, an advisory services organization based in Bend, Oregon, Apple lags significantly in the field of artificial intelligence (AI).

“It is remarkable,” he stated, “as Siri was among the pioneering digital assistants in the market. However, after its launch, it appeared to lose popularity, which is why they are currently lagging behind.”

According to William Kerwin, an equities analyst at Morningstar Research Services in Chicago, a potential collaboration with Google has the potential to align with Apple’s overarching AI plan.

According to the speaker, Apple has adopted a deliberate approach in making statements on generative AI, which is perceived as its customary tactic, as stated. Apple has consistently maintained a position as a premium follower in several marketplaces, prioritizing the release of outstanding goods rather than striving for first place.

“We did not anticipate Apple to create an exclusive generative AI model for licensing purposes, but rather concentrate on incorporating generative AI into its products,” he stated. This may encompass compact Apple-developed models residing on the edge or more extensive cloud-based models.

A prospective license arrangement with Google Gemini would be in accordance with this objective, wherein the model is outsourced and the emphasis is placed on incorporating it into products such as Siri.

Advantageous for Apple and Google
According to Tim Bajarin, the head of Creative Strategies, a technological advisory firm based in San Jose, California, Apple has used artificial intelligence (AI) into their product offerings since the introduction of the Knowledge Navigator in 1987. According to him, AI plays a crucial role in both Siri and Maps, and Apple has developed its own technology to provide AI-driven applications and solutions.

“Nevertheless, the cost of developing a comprehensive generative AI architecture independently is high, and these foundational AI architectures are already constructed and can be obtained through licensing,” he stated.

“Even if Apple were to develop its own Gemini-level model, it would likely lack the necessary infrastructure to cater to its extensive customer base,” he clarified. Apple has the potential to acquire a foundational generative AI framework from another company and develop more advanced and Apple-specific products using that AI engine.

A licensing agreement with Gemini has the potential to yield mutual benefits for both Apple and Google.

According to Charles King, the chief analyst at Pund-IT, a technology advisory firm located in Hayward, California, the licensing of Gemini would allow Apple to compensate for significant time lost in its own AI development endeavors.

Furthermore, he informed me that Apple will maintain its esteemed reputation for respecting customers’ privacy by employing verified third-party technology to train its AI systems.

Adoption of On-Device AI
“Many AI models currently necessitate cloud connectivity, which raises significant apprehensions regarding the exposure of confidential data,” stated Ross Rubin, the chief analyst at Reticle Research, a consumer technology consultancy organization based in New York City.

“Google offers a variant of Gemini called Gemini Nano, which may be attractive to Apple due to its ability to operate on-site,” he stated. “That is a method to maintain privacy while also enjoying the advantages of generative AI.”

According to Schell from ABI, Google has demonstrated a competitive advantage with its Gemini series of models. These models have been successfully implemented on some Pixel phones and select Samsung Galaxy devices. According to the speaker, Apple may potentially provide its customers with a well-developed generative AI model for certain or all of its products through a collaboration with Google.

According to the speaker, prominent chip vendors and original equipment manufacturers (OEMs) are increasingly shifting their focus towards on-device generative artificial intelligence (AI) due to its compelling value proposition in promoting productivity and data privacy. This is especially significant considering Apple’s established reputation as a pioneer in data protection.

“Therefore,” he stated, “I anticipate a multitude of noteworthy declarations regarding on-device generative AI at this year’s WWDC, which will be applicable to Apple’s PC, tablet, and smartphone products.” The World Wide Developers Conference (WWDC), organized by Apple, typically takes place in the month of June.

Advantages for Apple Users
According to Mark N. Vena, president and lead analyst at SmartTech Research in San Jose, Calif., Apple customers could gain advantages from a Gemini licensing agreement as it incorporates Google’s sophisticated search algorithms into their system, hence enhancing search capabilities.

According to the individual interviewed, the promotion of interoperability facilitates the smooth integration of Apple’s ecosystem with Google services, thereby enhancing convenience for users. Additionally, this integration has the potential to decrease development costs and time-to-market for Apple, as it allows for the utilization of Google’s established technology instead of constructing a comparable capability from the ground up.

“According to Greg Sterling, co-founder of Near Media, a news, commentary, and analysis website, Apple would gain numerous capabilities that it currently lacks, while Google would receive revenue and a prominent licensing partner,” stated Sterling.

The amount of cash that Google, which compensates Apple billions annually for being the default search engine for the Safari web browser, might receive from a licensing agreement is a fascinating inquiry.

Rubin proposed the possibility of the absence of licensing fees. Google compensates Apple for the exclusive right to operate search functionality on Apple’s platforms. Google receives compensation in the form of anonymized data for iPhone users, enabling them to have a comprehensive understanding of individuals’ mobile activities. Perhaps Google would be inclined to provide their technology at no cost in order to facilitate the ongoing updates to their AI engine.

No response was received from Apple or Google in response to a request for comment regarding this article.

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