Artificial Intelligence Has Come for Our…Beauty Pageants? – Glamour

First, artificial intelligence (AI) came for our jobs. Now, its coming for beauty standards by way of AI content creators."

Solely digital renderings and not real people, AI-generated influencers have become brand ambassadors and digital creators, amassing thousands of dollars in revenue through subscription-based content. Apparently, the natural next step was to have them compete in a beauty pageant.

Creator platform Fanvue, whose user base includes both real creators and AI ones, recently announced the Fanvue World AI Creator Awards (WAICAs): the worlds first ever beauty pageant for AI-generated influencers. According to the brand, they've seen exponential growth in AI-generated creators joining its platform since the end of 2023, with digital superstars garnering millions of followers on their platform, Instagram, and elsewhere.

It's true. Digital models Emily Pellegrini and Aitana Lopez, who are AI and not real people, have a combined 591 million followers on Instagram, real-life brand deals, and thousands of loyal subscribers who pay for exclusive content. FanVue says that Lopez earns over $10,000 monthly, and she's far from the only one: their Instagram comments are inundated with thousands of fellow AI-generated content creators promoting access to their private pages for a price.

Remarkably, it's paying off. FanVue expects the AI creator economy, which theyve helped pioneer, to exceed the $1 billion mark this year. This hasnt been possible until recently, the technology simply wasnt there, a FanVue spokesperson tells Glamour. With the help of monetization platforms such as Fanvue, theres been exponential growth in AI creators entering the space, growing their fanbases, and monetizing the connections theyre building with their audiences.

Aitana Lopez . Courtesy of FanVue.

Hence: the creation of the Miss AI pageant, in which AI-generated contestants will be judged on some of the classic aspects of pageantry and the the skill and implementation of AI tools used to create" the contestants. Also being considered is the AI creators social media clout"meaning theyre not just crowning the most beautiful" avatar, but also the most influential."

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Is artificial intelligence combat ready? – Washington Technology

Human soldiers will increasingly share the battlespace with a range of robotic, autonomous, and artificial intelligence-enabled agents. Machine intelligence has the potential to be a decisive factor in future conflicts that the U.S. may face.

The pace of change will be faster than anything seen in many decades, driven by the advances in commercial AI technology and the pressure of a near-peer with formidable technological capabilities.

But are AI and machine learning combat-ready? Or, more precisely, is our military prepared to incorporate machine intelligence into combat effectively?

Creating an AI-Ready Force

The stakes of effective collaboration between AI and combatants are profound.

Human-machine teaming has the potential to reduce casualties dramatically by substituting robots and autonomous drones for human beings in the highest-risk front-line deployments.

It can dramatically enhance situational awareness by rapidly synthesizing data streams across multiple domains to generate a unified view of the battlespace. And it can overwhelm enemy defenses with the swarming of autonomous drones.

In our work with several of the Defense Department research labs working at the cutting edge of incorporating AI and machine learning into combat environments, we have seen that this technology has the potential to be a force multiplier on par with air power.

However, several technological and institutional obstacles must be overcome before AI agents can be widely deployed into combat environments.

Safety and Reliability

The most frequent concern about AI agents and uncrewed systems is whether they can be trusted to take actions with potentially lethal consequences. AI agents have an undeniable speed advantage in processing massive amounts of data to recognize targets of interest. However, there is an inherent tension between conducting war at machine speed and retaining accountability for the use of lethal force.

It only takes one incident of AI weapons systems subjecting their human counterparts to friendly fire to undermine the confidence of warfighters in this technology. Effective human-machine teaming is only possible when machines have earned the trust of their human allies.

Adapting Military Doctrine to AI Combatants

Uncrewed systems are being rapidly developed that will augment existing forces across multiple domains. Many of these systems incorporate AI at the edge to control navigation, surveillance, targeting, and weapons systems.

However, existing military doctrine and tactics have been optimized for a primarily human force. There is a temptation to view AI-enabled weapons as a new tool to be incorporated into existing combat approaches. But doctrine will be transformed by innovations such as the swarming of hundreds or thousands of disposable, intelligent drones capable of overwhelming strategic platforms.

Force structures may need to be reconfigured on the fly to deliver drones where there is the greatest potential impact. Human-centric command and control concepts will need to be modified to accommodate machines and build warfighter trust.

As autonomous agents proliferate and become more powerful, the battlespace will become more expansive, more transparent, and move exponentially faster. The decision on how and if to incorporate AI into the operational kill chain has profound ethical consequences.

An even more significant challenge will be how to balance the pace of action on the AI-enabled battlefield with the limits of human cognition. What are the tradeoffs between ceding a first-strike advantage measured in milliseconds with the loss of human oversight? The outcome of future conflicts may hinge on such questions.

Insatiable Hunger for Data

AI systems are notoriously data-hungry. There is not, and fortunately never will be, enough live operational data from live military conflicts to adequately train AI models to the point where they could be deployed on the battlefield. For this reason, simulations are essential to develop and test AI agents, and they require thousands or even millions of iterations using modern machine learning techniques.

The DoD has existing high-fidelity simulations, such as Joint Semi-Automated Forces (JSAF), but they run essentially in real-time. To unlock the full potential of AI-enabled warfare requires developing simulations with sufficient fidelity to accurately model potential outcomes but compatible with the speed requirements of digital agents.

Integration and Training

AI-enabled mission planning has the potential to vastly expand the situational awareness of combatants and generate novel multi-domain operation alternatives to overwhelm the enemy. Just as importantly, AI can anticipate and evaluate thousands of courses of action that the enemy might employ and suggest countermeasures in real time.

One reason Americas military is so effective is a relentless focus on training. But warfighters are unlikely to embrace tactical directives emanating from an unfamiliar black box when their lives hang in the balance.

As autonomous platforms move from research labs to the field, intensive warfighter training will be essential to create a cohesive, unified human-machine team. To be effective, AI course-of-action agents must be designed to align with existing mission planning practices.

By integrating such AI agents with the training for mission planning, we can build confidence among users while refining the algorithms using the principles of warfighter-centric design.

Making Human-Machine Teaming a Reality

While underlying AI technology has grown exponentially more powerful in the past few years, addressing the challenges posed by human-machine teaming will determine how rapidly these technologies can translate into practical military advantage.

From the level of the squad all the way to the joint command, it is essential that we test the limits of this technology and establish the confidence of decision-makers in its capabilities.

There are several vital initiatives the DoD should consider to accelerate this process.

Embrace the Chaos of War

Building trust in AI agents is the most essential step to effective human-machine teaming. Warfighters will rightly have a low level of confidence in systems that have only been tested under controlled laboratory conditions. The best experiments and training exercises replicate the chaos of war, including unpredictable events, jamming of communications and positioning systems, and mid-course changes to the course of action.

Human warfighters should be encouraged to push autonomous systems and AI agents to the breaking point to see how they perform under adverse conditions. This will result in iterative design improvements and build the confidence that these agents can contribute to mission success.

A tremendous strength of the U.S. military is the flexible command structure that empowers warfighters down to the squad level to rapidly adapt to changing conditions on the ground. AI systems have the potential to provide these units with a far more comprehensive view of the battlespace and generate tactical alternatives. But to be effective in wartime conditions, AI agents must be resilient enough to function under conditions of degraded communications and understand the overall intent of the mission.

Apply AI to Defense Acquisition Process

The rapid evolution of underlying AI and autonomous technologies means that traditional procurement processes developed for large cold-war platforms are doomed to fail. As an example, swarming tactics are only effective when using hundreds or thousands of individual systems capable of intelligent, coordinated action in a dynamic battlespace.

Acquiring such devices at scale will require leveraging a broad supplier base, moving rapidly down the cost curve, and enabling frequent open standards updates. Too often, we have seen weapons vendors using incompatible, proprietary communications standards that render systems unable to share data, much less engage in coordinated, intelligent maneuvers. One solution is to apply AI to revolutionize the acquisition process.

By creating a virtual environment to test systems designs, DoD customers can verify operational concepts and interoperability before a single device is acquired. This will help to reduce waste, promote shared knowledge across the services, and create a more level playing field for the supplier base.

Build Bridges from Labs to Deployment

While a tremendous amount of important work has been done by organizations such as the Navy Research Lab, the Army Research Lab, the Air Force Research Lab, and DARPA, the success of AI-enabled warfare will ultimately be determined by moving this technology from the laboratories and out into the commands. Human-machine teaming will be critical to the success of these efforts.

Just as important, the teaching of military doctrine at the service academies needs to be continuously updated as the technology frontier advances. Incorporating intelligent agents into practical military missions requires both profound changes in doctrine and reallocation of resources.

Military commanders are unlikely to be dazzled by bright and shiny objects unless they see tangible benefits to deploying them. By starting with some easy wins, such as the enhancement of ISR capabilities and automation of logistics and maintenance, we can build early bridges that will instill confidence in the value of AI agents and autonomous systems.

Educating commands about the potential of human-machine teaming to enhance mission performance and then developing roadmaps to the highest potential applications will be essential. Commanders need to be comfortable with the parameters of human-in-the-loop and human-on-the-loop systems as they navigate how much autonomy to grant to AI-at-the-edge weapons systems. Retaining auditability as decision cycles accelerate will be critical to ensuring effective oversight of system development and evolving doctrine.

Summary

Rapid developments in AI and autonomous weapons systems have simultaneously accelerated and destabilized the ongoing quest for military superiority and effective deterrence. The United States has responded to this threat with a range of policies restricting the transfer of underlying technologies. However, the outcome of this competition will depend on the ability to convincingly transfer AI-enabled warfare from research labs to potential theaters of conflict.

Effective human-machine teaming will be critical to make the transition to a joint force that leverages the best capabilities of human warfighters and AI to ensure domination of the battlespace and deter adventurism by foreign actors.

Mike Colony leads Sercos Machine Learning Group, which has helped to support several Department of Defense clients in the area of AI and machine learning, including the Office of Naval Research, the Air Force Research Laboratory, the U.S. Marine Corps, the Electronic Warfare and Countermeasures Office, and others.

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What Nvidia Stock Investors Should Know About Recent Artificial Intelligence (AI) Updates – The Motley Fool

Japan is becoming an essential hub for developing AI advancements, which bodes well for Nvidia's hardware.

In today's video, I discuss recent updates affecting Nvidia (NVDA 3.65%) and other semiconductor companies. Check out the short video to learn more, consider subscribing, and click the special offer link below.

*Stock prices used were the after-market prices of April 22, 2024. The video was published on April 22, 2024.

Jose Najarro has positions in Nvidia and Taiwan Semiconductor Manufacturing. The Motley Fool has positions in and recommends Nvidia and Taiwan Semiconductor Manufacturing. The Motley Fool recommends Intel and recommends the following options: long January 2025 $45 calls on Intel and short May 2024 $47 calls on Intel. The Motley Fool has a disclosure policy. Jose Najarro is an affiliate of The Motley Fool and may be compensated for promoting its services. If you choose to subscribe through their link they will earn some extra money that supports their channel. Their opinions remain their own and are unaffected by The Motley Fool.

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Liberty Hill ISD introduces artificial intelligence into the classroom – Community Impact

Teachers and students in Liberty Hill ISD have been exploring new ways to learn through the use of artificial intelligence, or AI, this school year.

District teachers and staff said AI has enhanced students learning experience and prepared them for future careers as AI becomes increasingly prevalent in many industries.

We are trying to prepare students for jobs that don't even exist, LHISD instructional coach Jennifer Norris said. We don't want students to be thinking for today. We want students to be thinking for the future.

A closer look

This school year, LHISD launched a pilot program amongst a handful of teachers who have begun using AI in their classrooms, Chief of Schools Travis Motal said. Amy Rosser, an English teacher at Liberty Hill High School, has implemented AI programs to assist students in revising their essays and generating creative images, she said.

In one assignment, students were tasked with creatively rewriting the ending of "Romeo and Juliet" and producing an AI-generated image to accompany it. Students had to input their instructions into the image generator multiple times before seeing the desired results, which taught students the importance of using detailed, intentional language, Rosser said.

Norris has helped many teachers learn how to adopt AI into their instruction, she said. Some classrooms have used ChatGPT to generate poems in the voices of various historical figures and compare differences in the passages tone, Norris said.

Many Spanish teachers have taken up AI as a conversational partner for students to practice speaking Spanish with, Norris said. In social studies, students have used AI to generate images related to historical events and analyze the accuracy of the images and whether they include a bias, she said.

Khanmigo, an AI program by Khan Academy, walks students through the steps to complete math problems without solving it for them, Rosser said.

Also of note

Although some teachers have initially been hesitant to adopt AI, many programs have helped teachers work more efficiently, Rosser and Norris said. Rosser now uses AI platforms to produce rubrics and materials for students, and print out translated notes for her English-as-a-second-language students.

Teachers have used programs like Magic School AI to create different types of questions and ways to present information to their students, Norris said.

You can provide the student with the information that they still need, but in a way that's going to make it easier for them to access it, Norris said.

The takeaway

Instead of discouraging students from using popular AI platforms, such as ChatGPT, LHISD has chosen to embrace the new technology to ensure students are ready for the future ahead of them, Motal said.

We know its not going away, so how can I help teachers see what is available out there to be used as a tool, so we're not trying to catch up with the students, but we're right there alongside them leading the way, Norris said.

Before introducing AI programs to her students, Rosser said she taught a unit on how to use AI with academic integrity. From encyclopedias to the internet, teachers have long taught students how to responsibly synthesize information from new resources, and AI is next in line, she said.

I started to implement and teach them strategies of how to use [AI] as a resource and a tool, not a replacement for their thinking, Rosser said.

Rosser is continuing to explore new AI tools, including a platform that can transform pictures of notes into digital flashcards, she said.

I was thinking of all of our hours that we spent writing 3-by-5 cards, Rosser said. That AI is going to help [students] be more efficient, and they'll be more likely to study.

Whats next

At the end of this school year, the district plans to collect feedback from teachers using AI through the pilot program and may implement AI in some of its curriculum in future school years, Motal said.

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7 Artificial Intelligence Impediments & Opportunities for the Channel – Channelnomics

Channelnomics has identified seven significant challenges that will impede the adoption of artificial intelligence systems. The good news is that theyre also great opportunities for vendors and partners.

Market analyst firm IDC forecasts an impressive 55% compound annual growth rate (CAGR) for the artificial intelligence market from 2024 to 2027. However, its worth noting that this growth could be even more rapid if barriers to customer adoption and deployment werent hindering the pace of artificial intelligence uptake. This potential for accelerated growth should inspire optimism and excitement among vendors and partners alike.

Generative Pre-trained Transformer (GPT) products such as ChatGPT, Microsoft Copilot, and Google Gemini arent just tools; theyre catalysts sparking the imagination of businesses and individuals. These tools, by revolutionizing content creation, data analysis, and automated customer experiences, are making the seemingly impossible possible. However, its important to note that GPTs are just the tip of the iceberg in the artificial intelligence revolution.

In a survey by Channelnomics and channel marketplace Pax8 of end users worldwide, most businesses said they want AI tools that deliver better predictive analytics, machine learning in their automated processes, and richer communications tools. While its easy to rattle off a list of tools, making them an operational reality is much harder.

Through extensive research of vendors, channel partners, and end users, Channelnomics has pinpointed seven significant challenges currently impeding AI adoption and growth. However, these challenges, far from being roadblocks, present unique opportunities for the channel to leverage its expertise and resources, paving the way for success in the AI market. This understanding should empower vendors and partners, highlighting their potential to overcome these challenges and thrive in the AI landscape.

Lets dive into each.

Looking Forward As the artificial intelligence revolution continues to unfold, its clear that technologys transformative potential isnt without challenges. The road to widespread AI adoption is paved with obstacles, from technical hurdles to talent shortages and security concerns. However, these challenges also present a unique opportunity for the channel to step up and lead the way forward.

By leveraging their expertise and extensive resources, vendors and partners can become the driving force behind AI adoption, helping businesses navigate the complexities of this rapidly evolving landscape. Whether its through developing innovative AI solutions, providing expert guidance and support, or forming strategic partnerships, the channel has a critical role in shaping AIs future.

The AI market is poised for explosive growth as we look ahead to the coming years. But to truly harness the power of this transformative technology, vendors, partners, and customers must work together to overcome the obstacles to AI success. However, with the right strategies, partnerships, and mindset, theres no limit to what we can achieve.

Additional Resources

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The EU’s approach to artificial intelligence centres on excellence and trust – EEAS

The EUs Artificial Intelligence (AI) Act is the result of a reflection that started more than ten years ago to develop a strategy to boost AI research and industrial capacity while ensuring safety and fundamental rights. Weeks before the official publication which will mark the beginning of its applicability, the EU Delegation is hosting in London Roberto Viola, Director General of DG CONNECT for an in conversation event, moderated by Baroness Martha Lane Fox.

The aim of the EUs policies on AI is to help it enhance its competitiveness in strategic sectors and to broaden citizens access to information. One cornerstone of this two-pillar approach boosting innovation, while safeguarding human rights was the creation six years ago, on 9 March 2018, the expert group on artificial intelligence to gather expert input and rally a broad alliance of diverse stakeholders. Moreover, to boost research and industrial capacity the EU is maximising resources and coordinating investments. For example, through the Horizon Europeandthe Digital Europeprogramme, the European Commission will jointly invest in AI 1 billion per year. The European Commission will mobilise additional investments from the private sector and the Member States, bringing an annual investment volume of 20 billion over the course of the digital decade. The Recovery and Resilience Facility makes 134 billion available for digital. In addition to the necessary investments, to build trust the Commission has also committed to create a safe and innovation-friendly AI environment for developers, for those companies that embed their products and for end users. The Artificial Intelligence Act is at the core of this endeavour. It aims to protect fundamental rights, democracy, the rule of law and environmental sustainability from high-risk AI, while boosting innovation in Europe. Taking into account the degree of potential risks and level of impact, the regulation establishes obligations for AI, which are based on a proportionality approach. It flags certain areas as entailing an unacceptable risk. For these areas, the Act bans the use of certain AI applications, which pose substantial threat to citizens rights, like social scoring or emotion recognition in schools. The AI Act then goes on to impose obligations for high-risk applications, e.g. in healthcare and banking, and introduces transparency obligations for medium risk applications, like general-purpose AI systems. These provisions are complemented by regulatory sandboxes and real-world testing that will have to be established at national level and made accessible to SMEs and start-ups to develop and train innovative AI before its placement on the market.

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Gaza war: artificial intelligence is changing the speed of targeting and scale of civilian harm in unprecedented ways – The Conversation

As Israels air campaign in Gaza enters its sixth month after Hamass terrorist attacks on October 7, it has been described by experts as one of the most relentless and deadliest campaigns in recent history. It is also one of the first being coordinated, in part, by algorithms.

Artificial intelligence (AI) is being used to assist with everything from identifying and prioritising targets to assigning the weapons to be used against those targets.

Academic commentators have long focused on the potential of algorithms in war to highlight how they will increase the speed and scale of fighting. But as recent revelations show, algorithms are now being employed at a large scale and in densely populated urban contexts.

This includes the conflicts in Gaza and Ukraine, but also in Yemen, Iraq and Syria, where the US is experimenting with algorithms to target potential terrorists through Project Maven.

Amid this acceleration, it is crucial to take a careful look at what the use of AI in warfare actually means. It is important to do so, not from the perspective of those in power, but from those officers executing it, and those civilians undergoing its violent effects in Gaza.

This focus highlights the limits of keeping a human in the loop as a failsafe and central response to the use of AI in war. As AI-enabled targeting becomes increasingly computerised, the speed of targeting accelerates, human oversight diminishes and the scale of civilian harm increases.

Reports by Israeli publications +927 Magazine and Local Call give us a glimpse into the experience of 13 Israeli officials working with three AI-enabled decision-making systems in Gaza called Gospel, Lavender and Wheres Daddy?.

These systems are reportedly trained to recognise features that are believed to characterise people associated with the military arm of Hamas. These features include membership of the same WhatsApp group as a known militant, changing cell phones every few months, or changing addresses frequently.

The systems are then supposedly tasked with analysing data collected on Gazas 2.3 million residents through mass surveillance. Based on the predetermined features, the systems predict the likelihood that a person is a member of Hamas (Lavender), that a building houses such a person (Gospel), or that such a person has entered their home (Wheres Daddy?).

In the investigative reports named above, intelligence officers explained how Gospel helped them go from 50 targets per year to 100 targets in one day and that, at its peak, Lavender managed to generate 37,000 people as potential human targets. They also reflected on how using AI cuts down deliberation time: I would invest 20 seconds for each target at this stage I had zero added value as a human it saved a lot of time.

They justified this lack of human oversight in light of a manual check the Israel Defense Forces (IDF) ran on a sample of several hundred targets generated by Lavender in the first weeks of the Gaza conflict, through which a 90% accuracy rate was reportedly established. While details of this manual check are likely to remain classified, a 10% inaccuracy rate for a system used to make 37,000 life-and-death decisions will inherently result in devastatingly destructive realities.

But importantly, any accuracy rate number that sounds reasonably high makes it more likely that algorithmic targeting will be relied on as it allows trust to be delegated to the AI system. As one IDF officer told +927 magazine: Because of the scope and magnitude, the protocol was that even if you dont know for sure that the machine is right, you know that statistically its fine. So you go for it.

The IDF denied these revelations in an official statement to The Guardian. A spokesperson said that while the IDF does use information management tools [] in order to help intelligence analysts to gather and optimally analyse the intelligence, obtained from a variety of sources, it does not use an AI system that identifies terrorist operatives.

The Guardian has since, however, published a video of a senior official of the Israeli elite intelligence Unit 8200 talking last year about the use of machine learning magic powder to help identify Hamas targets in Gaza. The newspaper has also confirmed that the commander of the same unit wrote in 2021, under a pseudonym, that such AI technologies would resolve the human bottleneck for both locating the new targets and decision-making to approve the targets.

AI accelerates the speed of warfare in terms of the number of targets produced and the time to decide on them. While these systems inherently decrease the ability of humans to control the validity of computer-generated targets, they simultaneously make these decisions appear more objective and statistically correct due to the value that we generally ascribe to computer-based systems and their outcome.

This allows for the further normalisation of machine-directed killing, amounting to more violence, not less.

While media reports often focus on the number of casualties, body counts similar to computer-generated targets have the tendency to present victims as objects that can be counted. This reinforces a very sterile image of war. It glosses over the reality of more than 34,000 people dead, 766,000 injured and the destruction of or damage to 60% of Gazas buildings and the displaced persons, the lack of access to electricity, food, water and medicine.

It fails to emphasise the horrific stories of how these things tend to compound each other. For example, one civilian, Shorouk al-Rantisi, was reportedly found under the rubble after an airstrike on Jabalia refugee camp and had to wait 12 days to be operated on without painkillers and now resides in another refugee camp with no running water to tend to her wounds.

Aside from increasing the speed of targeting and therefore exacerbating the predictable patterns of civilian harm in urban warfare, algorithmic warfare is likely to compound harm in new and under-researched ways. First, as civilians flee their destroyed homes, they frequently change addresses or give their phones to loved ones.

Such survival behaviour corresponds to what the reports on Lavender say the AI system has been programmed to identify as likely association with Hamas. These civilians, thereby unknowingly, make themselves suspect for lethal targeting.

Beyond targeting, these AI-enabled systems also inform additional forms of violence. An illustrative story is that of the fleeing poet Mosab Abu Toha, who was allegedly arrested and tortured at a military checkpoint. It was ultimately reported by the New York Times that he, along with hundreds of other Palestinians, was wrongfully identified as Hamas by the IDFs use of AI facial recognition and Google photos.

Over and beyond the deaths, injuries and destruction, these are the compounding effects of algorithmic warfare. It becomes a psychic imprisonment where people know they are under constant surveillance, yet do not know which behavioural or physical features will be acted on by the machine.

From our work as analysts of the use of AI in warfare, it is apparent that our focus should not solely be on the technical prowess of AI systems or the figure of the human-in-the-loop as a failsafe. We must also consider these systems ability to alter the human-machine-human interactions, where those executing algorithmic violence are merely rubber stamping the output generated by the AI system, and those undergoing the violence are dehumanised in unprecedented ways.

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Artificial Intelligence (AI)’s Biggest Impact on the U.S. Economy – Banyan Hill Publishing

I called it

The market is experiencing an inevitable pullback.

This comes after one of the strongest six-month rallies in the S&P 500 within the last 30 years.

Like I said last week, this pullback is due to a combination of geopolitical concerns in the Middle East, and fears that the Federal Reserve will take longer than expected to cut interest rates, thanks to inflation.

But think of this as a bull market correction, rather than a world-ending market event.

Im looking at the longer-term investing opportunities of artificial intelligence (AI), cryptocurrency, biotech and other massive mega trends that will bring us higher returns by the end of this decade.

So today, Amber and I are taking a closer look at the tech markets potential impact on the U.S. economy, an update on bitcoin (BTC) after its fourth halving and the biggest highlights from the eMerge Tech Expo, a conference I attended on Friday.

This expo not only showcased some of the most cutting-edge developments for ChatGPT and robotics

But also one of the biggest promises of AI, and its impact on the workforce

(Or read the transcript here.)

By the way

If youre interested in investing in artificial intelligence (AI), but you dont know where to start, subscribers of my Strategic Fortunes service have invested in my No. 1 AI stock for 2024.

Its a California-based chipmaking juggernaut that develops computer processors and related technologies for both businesses and consumer markets.

Its production of AI applications (and other parts of its business) has put this company at the center of some of the most innovative technologies being developed today.

Go here to learn more about this company.

Until next time,

Ian King Editor,Strategic Fortunes

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Unlocking the Power of Artificial Intelligence in Food Virtual Workshop – Food Industry Executive

Register for the webinar here

From IFT:

This interactive workshop will provide the science of food community with a deep understanding of artificial intelligence through hands-on exercises, industry use cases, and insights from Artificial Intelligence thought leaders. Partnered with Sidecar, this virtual workshop will equip attendees with the knowledge, skills, and confidence to harness the power of AI within their own organizations and roles. In order to provide the most immersive and hands-on experience during this workshop, Sidecar will set up a dedicated instance of Betty, a personalized IFT AI assistant, tailored to IFTs content. This will offer a real-world experience of AI applications, allowing attendees to see the immediate value of integrating such technology into their daily routines.

Participants will learn:

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Jennifer Lopez’s Mecha Movie Is All About Learning to Love Artificial Intelligence – Gizmodo

Everyones a little freaked out about AI right nowthe ramifications of unregulated tech bro start up culture smashing into industries across the board, from journalism, to science, to entertainment, being turned upside down by the hot new trend. But together, Jennifer Lopez and Netflix boldly ask in Atlas the primordial question: what if learning to love AI got us a Titanfall movie with the names filed off?

The Best Things You Didnt Know Your Switch Could Do

This morning Netflix dropped a more in depth look at the frankly absurd combination of words that is the Jennifer Lopez mecha movie, Atlas. While the first trailer played up Lopezs character, the titular Atlasnot to be confused with the recently revived Boston Dynamics robot of the same nameand her abject horror at being plummeted onto an alien world via giant robot cockpits, the second lifts a few more layers around the film... which makes it feel less like a story about a first time mecha pilot, and more about how Jennifer Lopez should realize the concept of Not All Artificial Intelligences.

This look introduces us to Simu Lius baddy, an AI robot named Harlan designed to aid humanity but (shock, horror) turned against his organic masters. Now deeply distrustful of any artificial intelligence after her hunt for Harlan, Atlas finds herself forced to make compromises when she is forced to get into a giant mech suit on a mission gone wrongworking with its onboard intelligence, Smith, to learn the ways of beating the crap out of people with a giant robot.

As fun as it is to see Jennifer Lopez at the center of a movie that feels very inspired by the likes of Respawns beloved shooter seriesTitanfall in its mech design, the whole youve just gotta learn to love your Siri-adjacent robot friend! buddy cop vibe definitely feels a little weirdly timed as were on the crest of a general air of skepticism about the use of rudimentary image generators and LLMs in creative fields. But hey, maybe Jennifer Lopezs giant robot will punch things good enough this Memorial Day for us to put those concerns aside for a couple hours.

Atlas begins streaming on Netflix May 24.

Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, whats next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who.

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All Arlecchino Ascension and Talent materials in Genshin Impact – Destructoid

If youve pulled Arlecchino, another 5-star banner added in Genshin Impact 4.6, youll want to Ascend her to max level as soon as possible to cash in on that Wish investment. The latest Pyro character will lead you on a hunt for Fatui-themed upgrades to make the most of her levels and Talent.

To perfect her build, heres every Ascension material youll need for Arlecchino and where to find it that includes requirements for her Talent boosts, too.

Arlecchino uses Fragments of a Golden Melody, which drop from the Legatus Golem world boss. You can find this world boss in the lost kingdom of Remuria, which you can access by following the World Quest that starts in the Fontanian island village of Petrichor.

Youll need 46 Fragments in total, which will take an average of 18 boss runs or about 720 Resin at World Level 8.

Arlecchino require Rainbow Roses, which grow around Fontaine. If you collect them with the Seed Dispensary gadget equipped, you can gather seeds to grow additional Rainbow Roses in your teapot.

You will need 168 Rainbow Roses to fully Ascend Arlecchino. Like other local specialties, Rainbow Roses respawn 48 hours after collecting them. There are only 81 Rainbow Roses in the overworld, so you may need to ask a friend if you can take theirs.

As a member of the Fatui, Arlecchino uses Fatui insignias to ascend. These drop from most Fatui enemies, including Cicin Mages, Pyro Agents, and all Skirmishers.

For maximum character levels, Arlecchino will need 18 Recruits Insignia, 30 Sergeants Insignia, and 36 Lieutenants Insignia. This doesnt include insignias needed for Talents.

Like other Pyro characters, Arlecchino uses red Agnidus Agates to Ascend. These do drop from her boss, the Legatus Golem, but they will come mixed with Geo gems. If youre short on Pyro gems, use Dust of Azoth to convert some from a different element.

Arlecchino will need 1 Agnidus Agate Sliver, 9 Fragments, 9 Chunks, and 6 Gemstones to fully Ascend.

Despite her Snezhnayan affiliation, Arlecchino uses Order Talent books from Fontaine. You can farm these from the Fontaine Talent domain on Wednesdays, Saturdays, and Sundays.

To level her Talents to 10/10/10, Arlecchino will need 9 brown books, 63 silver books, and 114 gold books. This translates to about 2,480 Resin, depending on your drop luck.

Fatui enemies can be found all over Teyvat. My favorite farming spots are the north side of Dragonspine and the northwest side of Seirai Island.

Fully leveling Arlecchinos Talents requires 18 Recruits Insignia, 66 Sergeants Insignia, and 93 Lieutenants Insignia. This doesnt include insignias needed for character Ascension.

Fading Candles drop from the new weekly boss in 4.6, The Knave. You can unlock this boss domain by completing Arlecchinos Story Quest, or you can quick-start the challenge from your Adventurers Handbook.

Arlecchino will need 18 Candles to fully level her Talents. This means around 8 weeks of farming, depending on your luck.

Continued here:

All Arlecchino Ascension and Talent materials in Genshin Impact - Destructoid

Former Ascension Parish Deputy Assessor arrested, accused of changing tax values for his property – WBRZ

GONZALES - The former deputy of the Ascension Parish Assessor's Office was arrested Tuesday after he allegedly changed tax values for his personal property.

Jail records said 44-year-old Justin Champlin was booked for two counts of computer tampering, two counts of injuring public records and one count malfeasance in office.

The Gonzales Police Department said Champlin has been working at the assessor's office since 2012 and the issue happened while he was working as the deputy assessor.

The case is being turned over to the District Attorney's office.

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Former Ascension Parish Deputy Assessor arrested, accused of changing tax values for his property - WBRZ

Ascension Sacred Heart proposes to develop new medical office building – Pensacola News Journal

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Ascension Sacred Heart proposes to develop new medical office building - Pensacola News Journal

Ascension Chief Deputy Assessor arrested, accused of changing his own property assessment – Unfiltered with Kiran

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Former Ascension Parish deputy assessor arrested on malfeasance, computer tampering charges: Gonzales Police … – Weekly Citizen

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St. Amant, Ascension Catholic reach softball state tournament – Weekly Citizen

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St. Amant, Ascension Catholic reach softball state tournament - Weekly Citizen

All Arlecchino Ascension Materials in Genshin Impact – The Escapist

After an incredibly powerful short movie and a ton of different promotional materials, The Knave is finally coming as playable in Genshin Impact. But before Arlecchino can display her true potential, youll need to farm for certain ascension materials first.

As a 5-star Pyro Polearm character, Arlecchino is far from being the first in this specific role. However, she brings some unique gameplay with her scythe-like attacks that sacrifice a portion of her HP. According to the official Genshin Impact Progression Calculator, this is what you need to level up her fully.

Arlecchino shares a lot of materials with her fellow Pyro Fatui and son Lyney. They even share the Rainbow Rose specialty for their ascension. The Insignia drops can all be obtained from various Fatui enemies across the map, so use the Adventurers Handbook to get their locations if you havent enough of these with you. However, her assigned World Boss is the Statue of Marble and Brass world boss, a new addition to the 4.6 version.

Related: Genshin Impacts New Metroidvania Web Event is Scratching My Hollow Knight Silksong Itch

More Fatui-related items here, so double down on farming those. Arlecchino uses the Order books from the Rhyming Rhythm domain in Fontaine to level up her talents, as well as the new items from her own Weekly Boss, The Knave. Sometimes you are your worst enemy, I guess. As of 4.1, players no longer need to advance through Story Quests to farm for bosses, so you can challenge her boss version from the get-go.

The hardest part is, without a doubt, getting enough Roses and Talent items, as these will take you most of your time/resin to accomplish. Not to mention the artifact grind for her build which is always a struggle, but very worth it in the end.

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All Arlecchino Ascension Materials in Genshin Impact - The Escapist

Ascension health care system retracts nationwidebut not in Indy Indianapolis Business Journal – Indianapolis Business Journal

The six-story Women & Childrens Tower under construction on the hospitals West 86th Street campus will feature both private neonatal intensive care unit rooms and pediatric intensive care unit rooms. (IBJ photo/Eric Learned)

In the past five years, the nations largest Catholic health system, Ascension, has unloaded more than a dozen hospitals across the country, from New York to Alabama, as it restructures amid a growing tide of red ink.

In Indiana alone, it shut a critical-access hospital in Bedford, closed 11 immediate-care walk-in centers in central Indiana and shut down or repurposed five small neighborhood hospitals.

And theres no sign the sell-off is over.

Ascension continues selling spree, said a headline last month in Beckers Hospital Review, a trade news site, which added that the St. Louis-based system has more deals in the pipeline.

Ascension hastens exit out of Michigan, said a headline in Crains Detroit this month, after the health care system sold three hospitals in the northern part of the state to a large health system affiliated with the University of Michigan and set up a joint venture with another large system in the Detroit area.

Ascension, trying to dig itself out from a $3billion operating loss in fiscal year 2023, has not limited its sell-off to hospitals. It has also sold its interest in laboratory operations and a health insurance group.

So does Ascension plan to close or sell more Indiana assets?

In an unusual move for a national hospital system amid a major restructuring, Ascension disclosed part of its plans. It is not considering offloading or closing any more Indiana operations, an Ascension corporate spokeswoman told IBJ in an email.

The changes to our footprint in other parts of our national ministry are designed to ensure sustainable and favorable options for those communities, the email said. There are no plans to make any such changes to our Indiana ministry.

Several health care consultants said they would be shocked if Ascension sold a large number of properties in Indiana or exited the state altogether, as it has done elsewhere.

I wouldnt just be surprised. I would be totally aghast, said Ed Abel, retired director of health care practice at Indianapolis-based Blue & Co., an accounting and consulting firm. I would just say its never going to happen.

Thats because Indiana is one of the systems most profitable operations, delivering $192million in net income for the system for the fiscal year ending June 30, 2022, the most recent Indiana figures available. The same year, the system as a whole lost $879million from operations.

Translation: Indiana is a moneymaker for Ascension, helping it to fund a huge system that otherwise would be posting much larger losses.

So any further cost-cutting in Indiana would be relatively minor, some experts say.

In general, large health systems are constantly tweaking their portfolios, said David Blish, director of health care consulting for Katz Sapper & Miller, an Indianapolis-based accounting and consulting firm. I doubt Indiana Ascension will contract at a significant scale.

Ascension pointed to its flagship campus on West 86th Street, where construction continues on $325million worth of improvements, including a new brain and spine center, a new womens and childrens tower, and a new parking garage.

The company said the investments will help the companys operations here, known as Ascension St. Vincent Indiana, a premier destination for care in the Midwest.

Separately, Ascension St. Vincent this week issued invitations for a public celebration marking the 50th anniversary of the companys West 86th Street hospital. It said the event will take place 2-4 p.m. April 28 on top of the parking garage at the corner of Harcourt Drive and Katie Knox Drive.

The 50th anniversary of our 86th Street location gives us the opportunity to honor all of those who contributed to making the hospital what it is today as well as look forward to the future of health care, the invitation said.

The event will mark the 1974 move, when staff of St. Vincent and the U.S. Army Reserves transferred 102 patients from the hospitals Fall Creek campus (now part of Ivy Tech Community College) to a new campus on the northwest side of Indianapolis, which was then largely fields and forest.

Twenty-five years later, in 1999, Ascension bought St. Vincent for an undisclosed amount.

That marked the end of more than a century of independent ownership, since four nuns from the Daughters of Charity religious order arrived in Indianapolis in 1881 at the invitation of Catholic Bishop Francis Chatard and set up St. Vincent Infirmary in a house near Vermont and East streets.

Within a few years, the infirmary grew to 50 beds and changed its named to St. Vincent Hospital. It relocated twice before the move to West 86th Street. After decades of expansion, that campus now fills the better part of 20 square blocks between West 86th and West 79th streets.

Ascension said the six-story Women & Childrens Tower going up on the south side of the campus is designed to address the high level of maternal and infant mortality in Indianapolis. It will feature 109 private neonatal intensive care unit rooms along with an expanded pediatric intensive care unit. The tower is scheduled to be completed this year.

The four-story Brain and Spine Hospital is rising at the front of the campus and will include operating rooms, an intensive care unit, an intensive care step-down unit, and a residency training program. Ascension said it expects construction to be completed early next year.

The new projects, announced in 2021, represent one of the largest capital investments in decades for Ascension Indiana. It also gave the strong suggestion that the corporate parent was committed to the Indianapolis flagship, a major anchor on the busy West 86th Street commercial corridor.

So why is Ascension building here while unloading hospitals elsewhere and exiting some states altogether?

In many cases, the answer seems to be that Ascension is leaving where it cannot take advantage of a wide system of community hospitals in coordination with a top-tier hospital to handle complex cases.

In modern health care, hospital systems increasingly want a network of hospitals that can act as feeders for the major hospital in a large metropolitan area. And if they are a small player in a market that is dominated by a huge competitor, they have less chance to fill beds, negotiate favorable insurance plans and make money.

In Minnesota, the world-famous Mayo Clinic dominates the market with net patient revenue of $3.32billion in 2022far ahead of second place University of Minnesota Medical Center, which pulled in $1.68billion.

Who is ever going to beat the Mayo Clinic there? Abel said. Yes, theres a lot of competition up there. But theres a lot that have dropped out and said, Were never going to be as good as those guys.

Central Indiana has no single dominant player. Instead, there are four or five large players and a few dozen small players, mostly in the suburbs. And each system has a different claim to fame.

In the nine-county metropolitan area, Ascension St. Vincent has the most staffed beds, with 1,995, ahead of Indiana University Health (1,514), Community Health Network (1,124), Franciscan Health Network (563) and Eskenazi Health (333), according to IBJ research. (Those figures are from 2022, the most recent year available.)

Yet in the same year, Indiana University Health pulled in far more revenue across its statewide system, $8.1billion, than Ascension St. Vincent ($3.7billion) and Community Health ($3.1billion).

Statewide, Ascension owns 19 hospitals from Anderson to Brazil, including facilities in Carmel, Fishers, Indianapolis, Anderson and Kokomo.

In addition to being a large player, Ascension St. Vincent is performing well financially in central Indiana and has no reason to start offloading assets, Abel said.

Indiana is what I would call an aircraft carrier for Ascension, he said. They have a huge presence here, and theyre proud of it.

And Ascensions corporate leadership clearly has a soft spot for Indiana. The companys CEO, Joseph Impicciche, was raised in Crawfordsville and earned his bachelors at Wabash College. He went on to earn a law degree and a master of health administration degree from Indiana University. He practiced for more than a decade at Indianapolis law firm Hall Render Killian Heath & Lyman, which specializes in health care law.

Ascension declined to make Impicciche or any other senior leader available for an interview with IBJ.

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Ascension health care system retracts nationwidebut not in Indy Indianapolis Business Journal - Indianapolis Business Journal

A small factor makes a big impact on genome editing – EurekAlert

image:

Although the specificity of CRISPR-based gene-editing is highly accurate and versatile, the efficiency of installing those edits has been low. In this paper, the Adamson lab describes a more efficient prime editor. Illustration by Caitlin Sedwick for Princeton University.

Credit: Caitlin Sedwick for Princeton University

By Caitlin Sedwick for the Princeton University Department of Molecular Biology

Through years of engineering gene-editing systems, researchers have developed a suite of tools that enable the modification of genomes in living cells, akin to genome surgery. These tools, including ones based on a natural system known as CRISPR/Cas9, offer enormous potential for addressing unmet clinical needs, underscored by the recent FDA approval of the first CRISPR/Cas9-based therapy. A relatively new approach called prime editing enables gene-editing with exceptional accuracy and high versatility, but has a critical tradeoff: variable and often low efficiency of edit installation. In other words, while prime edits can be made with high precision and few unwanted byproducts, the approach also often fails to make those edits at reasonable frequencies. In a paper that appeared in print in the journal Nature on April 18th, 2024, Princeton scientists Jun Yan and Britt Adamson, along with several colleagues, describe a more efficient prime editor.

Prime editing systems minimally consist of two components: a modified version of the protein element of CRISPR/Cas9 and a ribonucleic acid (RNA) molecule called a pegRNA. These components work together in several coordinated steps: First, the pegRNA binds the protein and guides the resulting complex to a desired location in the genome. There, the protein nicks the DNA and, using a template sequence encoded on the pegRNA, reverse transcribes an edit into the genome nearby. In this way, prime editors write exact sequences into targeted DNA.

"Prime editing is such an incredibly powerful genome editing tool because it gives us more control over exactly how genomic sequences are changed, Adamson said.

At the outset of their study, Adamson and Yan, a graduate student in Adamsons research group and the Department of Molecular Biology, reasoned that unknown cellular processes may aid or hinder prime editing. To identify such processes, Yan laid out a conceptually simple plan: First, he would engineer a cell line that would emit green fluorescence when certain prime edits were installed. Then, he would systematically block expression of proteins normally expressed within those cells and measure editing-induced fluorescence to determine which of those proteins impact prime editing. By executing this plan, the team identified 36 cellular determinants of prime editing, only one of whichthe small RNA-binding protein Lapromoted editing.

Although promoting prime editing is obviously not a normal function of the La protein, our experiments showed that it can strongly facilitate the process, Yan said.

Within cells, La is known to bind specific sequences often found at the ends of nascent small RNA molecules and it protects those RNAs from degradation. The Princeton team recognized right away that the pegRNAs deployed in Yans first experiments likely contained those exact sequences, called polyuridine tracts, as they are a typical but often overlooked byproduct of pegRNA expression in cells. Subsequent experiments suggested that such pegRNAs inadvertently harness Las end-binding activity for protection and to promote prime editing.

Motivated by their results, the team asked if fusing the part of La that binds polyuridine tracts to a standard prime editing protein could boost prime editing efficiencies. They were thrilled to find that the resulting protein, which they call PE7, substantially enhanced intended prime editing efficiencies across conditions and, when using some prime editing systems, left the frequencies of unwanted byproducts very low. Their results quickly drew the attention of colleagues interested in using prime editing in primary human cells, including Daniel Bauer at Boston Childrens Hospital and Harvard Medical School and Alexander Marson at the University of California, San Francisco. Together with scientists from these labs, the team of researchers went on to demonstrate that PE7 can also enhance prime editing efficiencies in therapeutically relevant cell types, offering expanded promise for future clinical applications.

"This work is a beautiful example of how deeply probing the inner workings of cells can lead to unexpected insights that may yield near-term biomedical impact, Bauer noted.

Citation: Jun Yan, Paul Oyler-Castrillo, Purnima Ravisankar, Carl C. Ward, Sbastien Levesque, Yangwode Jing, Danny Simpson, Anqi Zhao, Hui Li, Weihao Yan, Laine Goudy, Ralf Schmidt, Sabrina C. Solley, Luke A. Gilbert, Michelle M. Chan, Daniel E. Bauer, Alexander Marson, Lance R. Parsons & Britt Adamson.Improving prime editing with an endogenous small RNA-binding protein.Nature. 2024. DOI: https://doi.org/10.1038/s41586-024-07259-6

Funding for this work was provided by the National Institutes of Health (NIH) (R35GM138167, RM1HG009490, T32HG003284, DP2CA239597, UM1HG012660 [Princeton QCB training grant; NHGRI],and [T32GM007388 Princeton MOL training grant; NIGMS]); the Searle Scholars Program; thePrinceton Catalysis Initiative; CHDI Foundation; Princeton University; the Parker Institute for Cancer Immunotherapy (PICI); the Lloyd J. Old STAR award from the Cancer Research Institute (CRI); the Simons Foundation; the CRISPR Cures for Cancer Initiative; the Arc Institute; CRUK/NIH (OT2CA278665 and CGCATF-2021/100006); Pew-Stewart Scholars for Cancer Research award; the Doris Duke Foundation; the St Jude Childrens Research Hospital Collaborative Research Consortium; NHLBI (R01HL150669); the Fred Hutch Cooperative Center of Excellence in Hematology (U54 DK106829); the China Scholarship Council (CSC), based on the April 2015 Memorandum of Understanding between the CSC and Princeton University; the NCI (K00CA245718); and the Princeton University Flow Cytometry Resource Facility (NCI-CCSG P30CA072720-5921).

Experimental study

Improving prime editing with an endogenous small RNA-binding protein

3-Apr-2024

B.A. is an advisory board member with options for Arbor Biotechnologies and Tessera Therapeutics. B.A. holds equity in Celsius Therapeutics. L.A.G has filed patents on CRISPR tools and CRISPR functional genomics and is a co-founder of Chroma Medicine. A.M. is a co-founder of Arsenal Biosciences, Site Tx, Spotlight Therapeutics, and Survey Genomics, serves on the boards of directors at Site Tx, Spotlight Therapeutics and Survey Genomics, is a member of the scientific advisory boards of Arsenal Biosciences, Site Tx, Spotlight Therapeutics, Survey Genomics, NewLimit, Amgen, Tenaya, and Lightcast, owns stock in Arsenal Biosciences, Site Tx, Spotlight Therapeutics, NewLimit, Survey Genomics, PACT Pharma, Tenaya, and Lightcast, and has received fees from Arsenal Biosciences, Spotlight Therapeutics, Site Tx NewLimit, Survey Genomics, Gilead, 23andMe, PACT Pharma, Juno Therapeutics, Tenaya, Lightcast, Trizell, Vertex, Merck, Amgen, Genentech, AlphaSights, Rupert Case Management, Bernstein, GLG, ClearView Healthcare Partners, and ALDA. A.M. is an investor in and informal advisor to Offline Ventures and a client of EPIQ. The Marson Laboratory has received research support from Juno Therapeutics, Epinomics, Sanofi, GlaxoSmithKline, Gilead, and Anthem. C.C.W. and R.S. are co-founders of Site Tx. J.Y. and B.A. have filed a patent application on aspects of this work through Princeton University, and B.A. has previously filed other patents on CRISPR-based technologies. The remaining authors declare no competing interests.

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

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DNA Synthesis Market to hit USD 20.5 Bn by 2032, says Global Market Insights Inc. – GlobeNewswire

Selbyville, Delaware, April 22, 2024 (GLOBE NEWSWIRE) -- DNA Synthesis Market size is expected to reach a remuneration of USD 20.5 billion by 2032. Rising advancements in biotechnology and genetic engineering across various research, diagnostic, and therapeutic applications will augment the industry growth.

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With the rise of precision medicine and personalized healthcare, there is a growing need for custom-designed DNA sequences tailored to specific research objectives or patient requirements. For instance, in March 2024, global genomics solutions provider Integrated DNA Technologies (IDT) expanded its gene synthesis offerings by introducing a new custom vector onboarding tool. The advancing fields of synthetic biology and gene editing techniques, such as CRISPR-Cas9 have further propelled the demand for DNA synthesis, as researchers seek to engineer novel organisms and develop innovative therapies for various diseases.

Collaborations between academic institutions, biotechnology companies, and pharmaceutical firms are also facilitating the development of cutting-edge technologies and streamlined workflows in DNA synthesis. These partnerships foster innovation and knowledge exchange, driving advancements in the methodologies while expanding the repertoire of available synthetic DNA products. Furthermore, the increasing affordability and accessibility of DNA synthesis services, coupled with improvements in synthesis throughput and scalability are democratizing access to synthesized DNA for researchers worldwide.

Rising usage for diagnostics

DNA synthesis market share from the therapeutic application segment is slated to gain momentum through 2024-2032. This is driven by the increasing adoption of molecular diagnostics for disease detection and personalized treatment approaches. Custom-designed DNA sequences help in the development of molecular diagnostic tests, enabling precise detection of genetic mutations and biomarkers associated with various diseases. The advent of targeted therapies and gene editing technologies has also fueled the demand for synthesized DNA in therapeutic applications.

CRO segment to gain traction

The DNA synthesis market from the contract research organization (CRO) segment is expected to expand exponentially up to 2032. This is driven by specialized expertise and infrastructure for DNA synthesis services for catering to the diverse needs of pharmaceutical, biotechnology, and academic research institutions. These organizations possess state-of-the-art facilities equipped with high-throughput synthesis platforms and experienced scientific teams capable of delivering custom-designed DNA sequences with precision and efficiency. CROs also provide end-to-end solutions, including gene synthesis, cloning, and sequence verification, allowing clients to focus on their core research objectives while entrusting the synthesis process to specialized professionals.

Asia Pacific to emerge as a prominent industry

Asia Pacific DNA synthesis market is estimated to record significant valuation by 2032, attributed to the increasing investment in genomics research and biotechnology initiatives by governments and private enterprises across countries like China, Japan, and India. The rising prevalence of genetic disorders and infectious diseases in the region has spurred the demand for customized DNA sequences for diagnostic and therapeutic applications. Advancements in healthcare infrastructure and the growing adoption of precision medicine will further stimulate the regional industry growth.

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DNA Synthesis Industry Players

Some of the prominent DNA synthesis market players include Thermo Fisher Scientific, Inc., ELISA experts, Twist Bioscience, BOSTER antibody, Bioneer Corporation, ProteoGenix, Eton Bioscience, BIOMATIK, LGC Biosearch Technologies, ProMab Biotechnologies, IBA GmbH, Eurogentec, Eurofins Scientific, Quintara Biosciences OriGene Technologies, Inc., Integrated DNA Technologies, Inc.and GenScript Biotech Corporation.

These firms are focusing on partnership ventures and innovations to proliferate their product portfolio and customer base. To cite an instance, in August 2023, Genscript Biotech formed a strategic collaboration agreement with T-MAXIMUM Biotech to develop CAR-T cell therapy.

Partial Table of Contents (ToC) of the report:

Chapter 2Executive Summary

2.1 Global DNA synthesis market 360 synopsis, 2018 2032 2.1.1 Business trends 2.1.2 Regional trends 2.1.3 Service trends 2.1.4 Method trends 2.1.5 Application trends 2.1.6 End-use trends Chapter 3DNA Synthesis Industry Insights 3.1 Industry ecosystem analysis 3.2 Industry impact forces 3.2.1 Growth drivers 3.2.1.1Growing prevalence of diseases globally 3.2.1.2Rapid technology advancements in the field of synthetic biology 3.2.1.3Rising investments towards research and development(R&D) activities 3.2.2 Industry pitfalls & challenges 3.2.2.1Stringent government regulations and guidelines 3.2.2.2High cost, potential biosafety,biosecurity and ethical issues 3.3 Growth potential analysis 3.3.1 By service 3.3.2 By method 3.3.3 By application 3.3.4 By end use 3.4 COVID- 19 impact analysis 3.5 Regulatory landscape 3.5.1 U.S. 3.5.2 Europe 3.6 Porter's analysis 3.7 PESTEL analysis

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About Global Market Insights

Global Market Insights Inc., headquartered in Delaware, U.S., is a global market research and consulting service provider, offering syndicated and custom research reports along with growth consulting services. Our business intelligence and industry research reports offer clients with penetrative insights and actionable market data specially designed and presented to aid strategic decision making. These exhaustive reports are designed via a proprietary research methodology and are available for key industries such as chemicals, advanced materials, technology, renewable energy, and biotechnology.

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DNA Synthesis Market to hit USD 20.5 Bn by 2032, says Global Market Insights Inc. - GlobeNewswire