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Artificial Intelligence in Healthcare: A Regulatory Overhaul – Medriva

Artificial Intelligence in Healthcare: A Regulatory Overhaul

In 2024, the U.S. government is expected to reshape the regulations surrounding the use of artificial intelligence (AI) in healthcare, a significant move that holds the potential to impact the future of healthcare services and patient care. This move has been triggered by President Joe Bidens crackdown on AI by federal health agencies and a promise from Congress members to increase oversight and pass new legislation. This regulatory transformation is driven by the urgent need for standards for AI in healthcare, motivated by the rapid advancements of generative AI tools.

Manufacturers of predictive models may soon be required to explain how their systems were developed and tested, and to demonstrate that they are safe, reliable, and fair. This significant step towards transparency and accountability in AI application will ensure that these technologies are held to high standards, thus safeguarding patients health and personal information.

The U.S. government and Congress have increased their focus on AI and its implications for healthcare and life sciences. The Senate and House have held hearings and forums to explore AIs impact on healthcare, and to establish strong governance over the potential dual-use risks of AI in biosecurity.

The Department of Health and Human Services (HHS) has advanced its initiatives to implement President Bidens AI executive order. These include developing a strategic plan for responsible deployment of AI, finalizing rules for algorithm transparency and information sharing, and outlining specific objectives to establish policies, advance quality and safety, leverage funding, and deploy AI capabilities across HHS.

Building on the momentum from 2023, the U.S. government is expected to continue implementing AI regulations in 2024. This includes increased transparency and new standards, focusing on best practices and a nuanced approach to regulating different sectors of the economy. The National Institute of Standards and Technology has proposed a framework for grading types and uses of AI by risk; a strategy similar to the EUs AI Act.

These changes are expected to influence the global conversation on AI regulation, with the upcoming U.S. presidential election playing a significant role. Companies developing high-risk AI systems will need to adhere to the law, thus encouraging more thoughtful system development and requiring detailed documentation for auditing purposes.

Decisions made in 2024 could potentially reshape the landscape of healthcare, particularly in areas like telehealth and remote prescribing. Flexibilities in reimbursement for telehealth services, a result of the COVID-19 pandemic, are set to expire, and the fate of these policies hangs in the balance. Regulations that could alter everything from AI and telehealth reimbursement to remote prescribing are under consideration.

However, its worth noting that major legislation regulating AI in healthcare is not expected to become law in 2024. Industry insiders deem the current regulatory framework adequate, suggesting that changes will be more about refining existing regulations rather than implementing entirely new ones. Despite this, the conversation and actions surrounding AI in healthcare in the coming year will undoubtedly set the stage for the future of the industry.

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Tech Titans: 2 Top Artificial Intelligence (AI) Stocks to Watch Heading Into 2024 – The Motley Fool

It isn't a stretch to say that artificial intelligence (AI) helped to propel the market to terrific gains in 2023. Before the release of ChatGPT and the rush to invest in generative AI, Wall Street was buzzing with worry over inflation, interest rates, and a recession that hasn't materialized. The tone changed quickly, and markets are near record highs.

How much will companies invest in AI in 2024? Nvidia (NVDA 2.29%) and Amazon (AMZN 0.46%) will be excellent barometers. Here's why.

At the heart of Nvidia's recent success is its high-performance graphic processing units (GPUs) and data-accelerating software. These products are crucial for generative AI and other machine learning (ML) applications that require tons of data to be processed in the blink of an eye. This is why Nvidia's quarterly data-center sales have risen 450% since the fourth quarter of fiscal 2022 to $14.5 billion in fiscal Q3 2024, ended Oct. 29, 2023.

The infographic below helps illustrate the story.

The two areas that illustrate the most about AI demand are data-center revenue and operating income.

Data centers provide the infrastructure needed for AI software to function. When Nvidia's data-center revenue is skyrocketing, investors know that companies are investing heavily. The $14.5 billion produced in fiscal Q3 2024 is nearly as much as the $15 billion produced in the entire fiscal 2023 year.

Nvidia generated $10.4 billion in operating income last quarter, a 57% operating margin. This is an astronomical increase over its 16% operating margin in fiscal 2023 and 37% in fiscal 2022. This means that the demand for Nvidia's products is so strong that Nvidia can set the price in the market.

If these metrics persist, you will know that companies are opening their checkbooks to invest in AI.

Nvidia stock rose nearly 240% in 2023 on the back of these results. The stock trades near its all-time high and with a forward price-to-earnings (P/E) ratio of 40 (compared to Microsoft'sforward P/E of 34, for instance). The valuation is steep; however, it can come down quickly if the company continues on its current trajectory.

Amazon stock also had a terrific 2023, posting gains of about 80%. However, one concern investors voiced was the significant slowdown in growth for Amazon Web Services (AWS).

As depicted below, AWS revenue growth peaked in 2021 at 37% and fell to just 10% over the trailing 12 months as of Q3.

Data source: Amazon. Chart by the author.

AWS makes money like a power or gas company -- customers pay for what they use. Many companies cut their data usage budgets for 2023 in preparation for a recession. Because of this, Amazon needed to work with customers to lower their costs. Amazon did this, sacrificing sales in 2023 but developing customer loyalty for the long haul.

Companies may begin to spend more on data as they develop AI and ML software. AWS growth may increase, which will be a boon for Amazon's shareholders.

As shown below, Amazon's stock remains historically undervalued on a price-to-sales (P/S) and price-to-operating-cash-flow basis despite its tremendous run in 2023.

AMZN PS Ratio data by YCharts

The valuation and strong chance that AWS growth will accelerate make Amazon a compelling stock for long-term investors.

AI exploded onto the scene in the past year, and there are many things investors need to consider. For a start, tech investors should closely monitor the results of these two tech titans.

John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool's board of directors. Bradley Guichard has positions in Amazon and Nvidia and has the following options: long September 2024 $630 calls on Nvidia. The Motley Fool has positions in and recommends Amazon, Microsoft, and Nvidia. The Motley Fool has a disclosure policy.

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IdriveAI, a leader in artificial intelligence in the automotive space, announces collaboration with BlackBerry and … – Collision Repair Mag

SANTA BARBARA, Calif.(BUSINESS WIRE)

This technology will be demonstrated at CES 2024 in the BlackBerry booth, #4224. The technology will include Driver Identification using Facial Recognition, and will analyze Distracted and Drowsy Driving in real-time watching the drivers behavior for head orientation, eyelid closure frequency and use of cellphone, to alert the driver in potentially dangerous situations.

IdriveAI has several other ongoing programs with BlackBerry to provide synthetic sensors to other IVY collaborators to create a unique in-cab, end user experience with unmatched power and integration. With over 15 years of experience in Automotive Electronics, Video, Object Recognition and Artificial Intelligence, IdriveAI is excited to bring its technology to the masses.

This fulfills an essential part of our mission statement, making roads safer and saving lives, stated Calin Mihalascu, IdriveAIs Chief Revenue Officer, Combining forces with BlackBerry and bringing these safety features to the IVY platform is a huge step in this direction.

More on the use of the tech:

Insights gained from identifying the driver, for subscribers of automotive software sub-systems, allows personalization on all levels, from in-vehicle electric and mechanical systems, including positioning of the driver, mirrors and steering wheel, to custom infotainment settings such as playlists, sound settings, etc.

Insights from driver attention status is vital for state-of-the-art automotive safety standards. Using the synthetic sensor, a vehicle dedicated safety software can warn the driver of pending issues or make safety decisions like automated braking, speed limitation, etc., in more extreme cases.

About IdriveAI:

Idrive Global, Inc., is a global leader in Video Telematics and Artificial Intelligence based services for the transportation industry. With over 10 years in the industry and one of the worlds biggest repositories of labeled and verified video data, idrives intelligent systems are enhanced by over 11 billion miles of driving data, deep learning and industry insights to produce a leading product that has saved hundreds of lives by preventing collisions through improved driving behavior. Idrive engineers, designs and manufactures all products and technology in-house. For all the latest idrive news follow us: Facebook and Twitter @idriveGlobal and LinkedIn http://www.linkedin.com/company/idriveglobal/ or visit our news page at http://www.idriveglobal.com/blog/

Related Links http://www.idriveglobal.com

Contacts

Kelli ONeil

Idrive Global, Inc.

(805) 308-6094

info@idriveglobal.com

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The top 7 people in AI defense tech – Business Insider

Angle down icon An icon in the shape of an angle pointing down. Shyam Sankar, the CTO of Palantir. Getty Images

Developments in AI defense tech are moving forward quickly as global tensions escalate, and Silicon Valley leaders hope that innovations in the field could help deter future conflicts.

Business Insider has identified the top 100 people who make AI intelligent. Here are our picks for defense tech.

Bedingfield became the CEO of Epirus in late 2022 after serving as the company's CFO and COO. Bedingfield was previously the CFO and chief accounting officer at the defense giant Northrop Grumman. Epirus is developing a system that uses high-power microwaves to knock out drone swarms. It recently won a Navy research grant with the University of Oklahoma's Advanced Radar Research Center to use AI modeling and other techniques to extend the range of these systems.

Boyd is a Marine veteran and a former Army officer. He was also the director of AI-enabled warfighting-capability development at the Pentagon's Joint Artificial Intelligence Center. As a visiting fellow at the Hoover Institution, he studies the rise of automation and autonomy in military systems and how the adoption of emerging technology affects military, economic, and social stability.

Fisher leads the Defense Advanced Research Project Agency's Information Innovation Office and oversees most of the agency's AI research and development, including the AI Forward Initiative, which conducts AI research for national-security missions. DARPA has dedicated over $2 billion to AI research since 2018 to create new national-security capabilities and mitigate threats AI systems could pose. Fisher is also an adjunct computer-science professor at Tufts University and was previously the department's chair. She has conducted research on the theory and practice of programming languages and preventing generative-AI security risks.

As an intelligence officer, Hamrick, the president of Vannevar Labs, spent seven years working on counterterrorism missions, including embedding with the US military overseas. She saw intelligence officers manually sifting through masses of information, often in other languages or in hard-to-access formats. Vannevar's Decrypt service uses machine learning, computer vision, and other AI technologies to automate and speed up data collection and analysis. The startup focuses on national security and strategic competition with nation-states. "Decrypt collects overseas information that would otherwise be hard for military teams to access directly in areas around the world that are increasingly contested," she said in a recent interview.

Rinderer is the chief technology officer of the cybersecurity startup Shift5. Rinderer previously led the federal technology business at the cybersecurity startup Tanium and was one of its earliest employees. He has also worked for Intel and the US Navy. Shift5 builds cybersecurity software for military weapons systems, aviation, and trains and can collect and analyze data for operations, maintenance, and cybersecurity. It then uses machine learning to detect anomalies, hunt threats, and identify suspicious behaviors. Shift5 has raised over $105 million in funding, including an $83 million round this year that Insight Partners and Moore Strategic Ventures.

Sankar joined Palantir in 2006 as one of the company's early employees. Before that, he worked at the money-transfer startup Xoom. He's also been a director at Ginkgo Bioworks and recently became the chair of that biotech company. At Palantir, Sankar was the COO for 16 years and took on the CTO role in January. The company is deploying large language models and other AI for defense customers with strict data-access and control requirements.

Serafini is the CEO of HawkEye 360, a startup that develops satellites and technology for space-based radio-frequency collection, mapping, and analytics. He's also a venture partner at Shield Capital, which invests in early-stage tech companies supporting national security. Previously, Serafini served in the US Army and has been a leader at companies including Percipient Networks and Allied Minds. HawkEye 360 is investing in AI and machine learning to better analyze the radio-frequency data it collects for communication, navigation, and threat identification. It has raised over $360 million from backers including BlackRock, Insight Partners, and Alumni Ventures.

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Artificial intelligence to the front in Swedens National Technology Strategy – ComputerWeekly.com

Sweden has launched a more far-reaching National Technology Strategy (NTS) that is front-loaded by an artificial intelligence (AI)-focused long-term investment plan to bolster the international competitiveness of indigenous companies large and small.

The NTS represents the most ambitious technology project to be rolled out by prime minister Ulf Kristerssons centre-right coalition since it took office in 2022.

The development of AI products and services is at the core of the NTSs capital investment plan. To further elevate state-funded investment and research and development (R&D) activity, the Swedish government has established an AI Commission (AIC) to contribute to AI policy formation. The AIC is chaired by Carl-Henric Svanberg, the former CEO of Ericsson and the present chairman of heavy vehicle maker Volvo.

The AICs key mission is to strengthen Swedens competitiveness as a global force in international trade, said Erik Slottner, the public administration minister in the Kristersson government responsible for digital and AI policy. Used correctly, AI can contribute to increased innovation capacity, stronger competitiveness, improved welfare and a more efficient public administration. We want to ensure that Sweden takes advantage of the opportunities while managing the risks to fully realise the potential of AI, said Slottner.

The AIC is tasked with providing concrete proposals to help the Swedish government shape policies that deliver optimum conditions to ensure the competitive, secure and ethical development of AI in Sweden, both in the public and private sectors. The AIC is tasked with conducting a comprehensive analysis of prevailing conditions in Sweden that will examine key areas such as higher education and legislation to determine if existing educational and legislative structures are sufficient to meet the future needs for AI use and development.

Moreover, a significant element in the AICs review will focus on providing proposals that identify how Sweden can attract international venture capital to enhance value in AI projects run by state or private organisations, and intended to improve the competitiveness of public administration and propel efficiencies in business and industry generally.

The NTCs expansive mission will include producing a framework under which the government can more effectively promote and increase state support to public-private partnerships, particularly in the area of advanced AI and digitisation initiatives.

Additional funding is being provided by the Ministry of Finance (MoF) to the National Advanced Digitisation (NAD) project run by a consortium that includes leading corporations Ericsson, ABB Group, Saab, Teknikfretagen and state-owned innovation agency Vinnova.

The role of Teknikfretagen in the NAD is regarded as pivotal given that it functions as the central organisation for employers and companies in Sweden s increasingly global-minded engineering and industrial manufacturing sector.

Sweden s march towards a more forceful technology-based economy, and one that employs the utilisation of advanced AI and digital tools to drive economic growth, is taking place against the backdrop of ongoing developments in the European Union (EU) to establish a common regulation for AI.

The EUs regulation focus is on areas of use for AI systems that, although may be either considered prohibited domains or high-risk, can be used if operated correctly under a tighter degree of transparency and oversight rules.

That the EU can produce common rules for AI products is important for Sweden, said Slottner . It makes no sense to have 27 separate pieces of legislation for such an important technology as artificial intelligence. A common approach, and common regulation, is positive for both Swedish and European innovation and competitiveness.

Swedens AIC review will both analyse and identify how the Nordic country can best promote a competitive and safe AI environment in the EU and globally. The AIC is organised into specialist lead and sub-groups to examine key areas such as AI advances, global social policy, digitisation, sensitive information security and related legislation.

Statista, the Hamburg-headquartered research organisation, has forecast that the market size of Swedens AI sector is expected to reach over US$3bn in 2023, and show an expected growth rate of over 18.2% over the next decade, to reach a market volume of US$10.6bn by 2030.

Healthcare, public administration, defence, engineering and financial services are regarded as the primary areas for capital investments in AI development and use in Sweden . The Kristersson government views Sweden as one of the best-positioned states in the EU to initiate projects that seek to integrate AI with other technologies, including blockchain and the internet of things (IoT).

As part of its mission, the AIC will liaise with AI-Rd (AI Board), a consultative group formed by Sweden s 12 municipal regions in August. The municipalities have drafted a series of recommendations for new initiatives that are intended to enhance the ability of Sweden s municipalities to gain from AI usage. All 12 municipalities are represented on the AI-Rds governing board.

Our aim is to achieve a common direction for strategic work within AI at local government level in Sweden, said Katarina Lagerqvist , Kristinehamn Municipalitys chief digital officer. The goal is to create opportunities for all municipalities, large and small. It is important that we find ways to fully harness the possibilities of AI as a municipal group.

A 2020 report by DIGG, the Swedish governments agency for digital administration established in 2018, estimated the potential value AI could create in Swedens public sector to be in excess of 140 billion kronor (12.5bn) annually. The report noted that municipalities are primed to become a major beneficiary of AI on the cost and efficiency side of their operations.

The government has assigned Innova, the state innovation agency, to support AI projects run for and by municipalities. Innova, which is currently investigating the conditions for optimum gains from the use of AI across all 12 municipalities, instigated the Joint Initiative for AI in Municipalities and Civil Society (Kraftsamling fr AI i Kommuner och Civilsamhlle) project in August to help municipalities embrace AI.

There is a great need for more municipalities to seriously engage in AI usage and to do so in a way that creates conditions where they share information and learn from each other to jointly address important issues, said Fredrik Weisner, Innovas area manager for digital transformation.

The development of Sweden s national AI strategy has triggered relevant and important changes to legislation. The governments new Foreign Direct Investment Act (FDIA), which passed in to law on 13 September 2023, included for the first time comprehensive sections covering the use of AI and protections for AI technologies.

The updated FDIA more strictly controls foreign investments, direct and indirect, in Swedish companies regulated under Swedish data protection laws.

Overall, the FDIA deals with emerging technologies and strategic protected technologies such as AI, quantum computers and other technology that may have future or current significance for essential societal services. The legislation also provides for stricter regulations to protect sensitive personal data and location data as defined under General Data Protection Regulation laws.

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2 Artificial Intelligence (AI) Stocks That Could Make You a Millionaire – The Motley Fool

The rapid adoption of artificial intelligence (AI) is expected to give the global economy a big boost in the long run, with PricewaterhouseCoopers (PwC) estimating that this technology could contribute a whopping $15.7 trillion, or 14%, to the global gross domestic product (GDP) by 2030.

PwC points out that AI-focused economic gains will be driven by an improvement in productivity, as well as new products that are likely to boost consumer demand. Not surprisingly, investors have been buying AI stocks hand over fist over the past year to take advantage of this huge end-market opportunity.

More importantly, the massive economic potential of AI suggests that buying and holding solid AI stocks for a really long time could give investors impressive returns, as they will be able to benefit from the power of compounding while capitalizing on a rapidly growing market.

That's why if you have investible cash of $200,000 after paying your bills, clearing high-interest loans, and saving enough for bad times, it may be a good idea to put that money into shares of both Nvidia (NVDA 2.29%) and Snowflake (SNOW 2.94%). These stocks could help you become a millionaire, or at least get close to that milestone, as part of a diversified portfolio. Let's see how.

Nvidia has seen a big surge in demand for its graphics processing units (GPUs) thanks to AI, leading to eye-popping growth in the company's revenue and earnings in recent quarters. The market has rewarded Nvidia's impressive growth with solid gains, which explains how the stock would have turned a $200,000 investment into $659,000 in the past year.

NVDA data by YCharts

However, a closer look at Nvidia's AI-related opportunity indicates that the company is just getting started. Market research provider IDTechEx estimates that the market for AI chips could generate $258 billion in annual revenue in 2033, growing at an annual rate of 24% over the next decade.

Nvidia's market share of more than 80% in AI chips means that it is in a prime position to make the most of this multibillion-dollar market opportunity. The company's revenue tripled year over year in the last reported quarter to $18.1 billion as its data center revenue shot up 279% to $14.5 billion.

Nvidia is taking steps to ensure that it maintains its dominant position in this market by accelerating its product roadmap and increasing chip supply, which could help ensure robust growth in the years to come.

Assuming Nvidia manages to control even 50% of the AI chip market in a decade, its data center revenue could jump to almost $130 billion based on IDTechEx's estimate of the size of this market in 2033. That would be a huge jump over the $15 billion revenue Nvidia's data center business generated in fiscal 2023.

There are also other catalysts that could send the company's top and bottom lines soaring in the long run, such as the AI-enabled personal computer (PC) market, cloud gaming, digital twins, and automotive. This explains why Nvidia's earnings are expected to clock annual growth of 102% over the next five years, up significantly from the 48% annual earnings growth it clocked in the last five years.

A $200,000 investment made in Nvidia stock five years ago would now be worth almost $2.9 million. Given that the company is expected to deliver even faster earnings growth over the next five years, there is a chance that it may be able to replicate its sizzling rally, deliver outstanding returns to investors, and even help them become millionaires.

Snowflake provides a cloud-based data platform that gives customers access to multiple functions such as data warehousing, data lakes, data science, data engineering, and secure sharing on a single interface. You may be wondering how Snowflake is going to benefit from the AI boom, but the cloud-based services that Snowflake provides could witness a jump in adoption thanks to AI.

That's because training large language models (LLMs) requires access to massive amounts of data. For example, the amount of data needed to train ChatGPT and GPT-4 LLMs reportedly exceeded 45 terabytes (TB). As a result, having access to high-quality data for training LLMs is crucial. This is where Snowflake steps in.

In June 2023, Nvidia announced that it was partnering with Snowflake to allow businesses to "create customized generative AI applications using their own proprietary data, all securely within the Snowflake Data Cloud." The ability of enterprises to create custom LLMs using their own data to speed up their business processes in a secure environment could open up a new growth opportunity for Snowflake.

A survey of more than 300 businesses and AI experts by enterprise AI company Expert.AI in April 2023 revealed that almost 40% of the respondents were planning to build custom enterprise LLMs. This illustrates why demand for Snowflake's data platform could increase, especially considering that it has taken steps to help enterprises build LLMs in a cost-effective manner with the Snowflake Cortex platform.

Snowflake customers who stored their data on the company's platform can use Cortex, a fully managed offering, to extract information from unstructured data, translate text, summarize documents, and build custom applications quickly. Enterprises are getting access to this facility without having to invest in expensive hardware, which is all the more reason why the demand for Snowflake's offerings could increase.

Not surprisingly, Snowflake expects its addressable market to increase rapidly in the long run. The company was sitting on a total addressable market (TAM) worth $140 billion in 2022. It expects this market to more than double to $290 billion in 2027. It is worth noting that Snowflake has generated $2.6 billion in revenue over the trailing 12 months, so it is scratching the surface of a huge opportunity.

The company is expected to finish the current fiscal year with $2.8 billion in revenue, up 35% from the prior year. Snowflake's earnings are forecast to more than triple in fiscal 2024 to $0.80 per share. As the following chart shows, Snowflake's top and bottom lines could keep heading higher in the next couple of fiscal years as well.

SNOW Revenue Estimates for Next Fiscal Year data by YCharts

What's more, analysts are forecasting Snowflake's earnings to increase at an annual rate of 66% over the next five years. At this pace, the company's earnings could hit $10 per share in fiscal 2029. Multiplying the projected earnings with the Nasdaq-100 index's (which is used as a proxy for tech stocks) price-to-earnings ratio of 30 points toward a stock price of $300, which would be a 58% jump from current levels.

However, Snowflake is trading at 175 times forward earnings right now. It could maintain a premium valuation in five years thanks to its impressive growth and a new catalyst in the form of AI. Investors aiming at becoming millionaires can team their Snowflake investment with an investment in Nvidia, both of which look like solid picks in a diversified portfolio.

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The success of LLMs is reframing our expectations. – Psychology Today

The success of LLMs is reframing our expectations.

Quick, name three letters that have captured our imaginations. From acronyms to the Devine, there's one term that has conjured both fear and excitement: AGI or Artificial General Intelligence.

A new chart from ARK Invest captures our collective gaze and evolving expectations. The once-distant dream of AGImachines endowed with the broad cognitive capabilities of the human mindseems to be drawing closer with a pace that is both exhilarating and, for some, unnerving. The graph showcases a timeline not just of advancements but of our expectations, and how they've contracted from a leisurely stroll to a sprint. Of course, the very definition of AGI itself may also be part of this perceptual shift.

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In the early 2020s, the arrival of AGI was a speculative conversation to be had over decades. Fast forward, and each leapfrom GPT-3's announcement to the unveiling of GPT-4 and other LLMshas carved chunks off the countdown to AGI. The graph reflects this with a steep decline in the expected years until AGI's emergence. It's not merely progress; it's progress at an accelerated clip and, in ways, aligns with the exponential path that is commonly seen with disruptive innovation.

The role of GPT and other large language models in this shift cannot be overstated. With GPT-3, we saw potential; with GPT-4, we saw prowess. Each iteration has served as a proof point, demonstrating AI's growing fluency in the language of human thought. The implications have rippledor dare I say rippedthrough industries, inspiring transformations in healthcare, finance, education, and more.

ARK's graph delineates two trajectories from our present vantage point: one where the forecast for AGI remains optimistic and "well-tuned," and another where the "forecast error continues," implying a possible plateau in advancements. The former suggests a world imminently reshaped by AGI, while the latter cautions us against overconfidence in a smooth ascent. Nevertheless, the shift in expectations is remarkable.

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As we slide down the path towards AGI, we must also brace for its implications. AGI potentially brings a cornucopia of ethical, societal, and existential questions. Can we ensure that AGI aligns with human values? How do we navigate the likely displacement in the workforce? What governance structures do we need? The path to AGI is as much about the answers to these questions as it is about the technology itself.

This graph is not a mere predictor; it's a call to action for policymakers, technologists, ethicists, and society at large. As we harness the winds of AI's capabilities, we must also steer the ship with a steady hand, ensuring that our journey toward AGI is one that remains anchored to our shared human interests.

The message is clear: AGI is on the horizon, closer than we ever imagined. It's time for us to preparenot just for the technology, but for the world it will help create. The future is not just something to predict, but something to shape. And as we stand at the forefront of this new era, we must all be active participants in molding a future where AGI amplifies our humanity rather than diminishes it.

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1 Solid Artificial Intelligence (AI) Stock Not Named Nvidia to Buy Right Now Before It Soars – The Motley Fool

There is no doubt that Nvidia (NVDA 2.29%) has been one of the hottest stocks on the market over the past year thanks to huge demand for artificial intelligence (AI) chips the company sells. But this is precisely the reason why investors may be looking for other ways to tap the AI boom.

After all, Nvidia stock's 239% surge in 2023 made the stock expensive. It now sports a price-to-sales ratio of about 27 and a trailing earnings multiple of 65. Nvidia seems capable of justifying those multiples with impressive growth.

The company is expected to finish the current fiscal year with a 118% jump in revenue to $59 billion, followed by another jump of 56% in the next one. It may even grow at a faster pace than what consensus estimates are projecting. But still, some investors may be on the hunt for cheaper alternatives.

This is where Taiwan Semiconductor Manufacturing (TSM 0.48%), popularly known as TSMC, steps in. The chip stock is expected to deliver solid growth in 2024, and is trading at significantly cheaper multiples than Nvidia. Let's look at the reasons why investors might want to consider buying TSMC right now.

The AI chips that Nvidia sells are manufactured by its foundry partner TSMC, which is why TSMC seems a solid bet for investors seeking an alternative AI chip play. Shares of the Taiwan-based company jumped 40% in 2023, underperforming the PHLX Semiconductor Sector index, which clocked much stronger growth of 66%. However, that's good news for opportunistic investors, as TSMC stock is trading at a much cheaper valuation than Nvidia's.

TSMC sports a price-to-earnings (P/E) ratio of 19, which is lower than the company's five-year average P/E ratio of 22. Investors can consider buying TSMC stock hand over fist at its current valuation, as revenue and earnings growth are expected to pick up impressively in 2024. More specifically, TSMC's revenue was predicted to decline almost 9% in 2023 to $69 billion thanks to the weak demand for smartphones and personal computers (PCs). AI, however, is likely to change the picture this year.

TSM Revenue Estimates for Next Fiscal Year data by YCharts

As the chart above shows, TSMC is expected to post 20%-plus revenue growth rates over the next couple of years. A key reason why TSMC's growth is likely to accelerate is that the company's advanced chips, which are manufactured using 5-nanometer (nm) and 3-nm process nodes, are in strong demand from the likes of Nvidia. These advanced chips are manufactured using TSMC's advanced packaging technology, known as chip-on-wafer-on-substrate (CoWoS).

Market research firm IDC estimates that CoWoS packaging capacity is expected to jump a whopping 130% in the second half of 2024. In other words, sales of TSMC's AI chips are likely to take off, as the company will be in a position to boost shipments this year and bridge the 20% demand-supply gap that currently exists in CoWoS packaging.

It is also worth noting that TSMC could win big from the growing adoption of its 3nm chips in the long run, as this process node is expected to help chipmakers create $1.5 trillion worth of chips over the next five years. All this explains why TSMC's bottom-line growth is set to accelerate as well.

TSM EPS Estimates for Current Fiscal Year data by YCharts

Assuming TSMC does hit $7.72 per share in earnings in 2025, as the chart above indicates, and trades at its five-year average forward earnings multiple of 21.3 at that time, its stock price could reach $165 in two years. That would represent a 58% jump from current levels.

However, TSMC stock could jump higher if the market rewards it with a higher earnings multiple. It is worth noting that TSMC's forward earnings multiple is cheaper than the 29 average forward P/E of the Nasdaq-100 index, which can serve as a proxy for tech stocks considering that it is mostly made up of tech stocks.

If TSMC trades at 29 times forward earnings in a couple of years, the company's stock could jump to $224 based on projected 2025 earnings. That points toward an even bigger upside of 115% from current levels. All this shows why investors would do well to buy TSMC stock while it is still cheap since it could soar impressively in the long run.

Harsh Chauhan has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Nvidia and Taiwan Semiconductor Manufacturing. The Motley Fool has a disclosure policy.

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1 Solid Artificial Intelligence (AI) Stock Not Named Nvidia to Buy Right Now Before It Soars - The Motley Fool

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An Artificial Intelligence writing tool is a euphemism for a dumb ghostwriter – The Times of Israel

AI doesnt only lack intelligence; its completely stupid.

I wrote about IA before, and here, here, here, here, here, here, and here.

Now, I would like to discuss some of it in more detail.

There are several ways we can understand AI for what it really is.

When you start typing a word in a search engine, the browser gives already suggestions. When I type isr it suggests: israel Country in Middle East, israel news of the day, israel news, israel map, israel-hamas conflict, israel war, israel flag, Israeli-Palestinian conflict. The first and the last were inserted manually, the others come from the most frequent searches. Many USers cant tell Israel from Japan, so map is frequent. Thats what AI does. A filter is added that israel murderers doesnt appear until you type israel murde. If you typed israel murder before, it will bring it up earlier.

I dont think that is in any way intelligent. Its a matter of bookkeeping.

AI is an index of the Internet. Whats different from a proper encyclopedia is that here is no editor. Sense and nonsense are indexed on an equal basis. So popular nonsense wins the day and brilliant, new ideas will be missed. Thats already as stupid as can be. But there is more stupidity.

Because of the terribly stupid results, several filters were placed, and template answers were preprogrammed against the most obvious drivel.

That is not intelligence. That is giving rote answers. A parrot is smarter.

Besides, it is the most basic mistake to confuse intelligence and knowledge. If you learned everything youre probably stupid. My mother worked as a psychiatric nurse. One patient learned the phonebook by heart. Could shout enthusiastically: You want to hear my newest 6 pages?

When we dream, we review everything our senses got in, especially recent and extra painful events. Our brain builds connections but has no editor, no critical sense. It produces nonsense with maximum self-confidence.

Once we wake up, its hard to understand how it could look so true that 1 + 1 = 3. (Most awake people think its 2.)

The conclusions AI draws can be amazingly stupid. It convinced someone to commit suicide to help with taming the climate crisis. While the whole problem of it is one of survival. And he did so. Since then, AI writers have a disclaimer that you should not sail blindly on mechanical advice.

Its nice computers can hold an enormous amount of data, which you transfer from computer to computer easily and quickly.

The problem starts with interpreting. Fifty years ago, it was hyped that the artificial physician soon would be amazing. It really depends.

Looking at X-rays of breast screenings is very tiring. Most of the scans (luckily) show no problem. So, the art is to find the exceptions. Stupid computers can do that better. Also, some people with autism might be extra good at this. However, clearly, that is because they are good with patterns. Its not their intelligence at work.

Every person with a light, ongoing fever without cause must be suspected of having tuberculosis. Every physician must keep that in the back of their mind. Thats because its an illness easy to cure, but when missed, it can kill. However, computers have no back of their mind. If they suggest that every patient with an unexplained, ongoing, light fever must be checked for tuberculosis, itll be quickly missed by MDs who do the readout.

Computers cannot do more than find patterns. What they cant do is think outside of the box. I saw a patient with three symptoms in three totally different locations in the body in three different types of tissue. What could this be? We students got 90 minutes to figure it out. I was lucky. I got a brainwave. Computers dont get brainwaves. If the three symptoms are unrelated, which illness gives unrelated symptoms? LED. Some 18 different and unrelated complaints on its name. This, a computer cant do.

I heard an AI-written, new Beatles song. It was awfully boring. Of course.

Three professional musicians, students of Reb Shlomo, wrote a new song as if from Carlebach. Sounds great. Smart guys. Not a stupid imitation.

The newest lie is AI can predict when we die. Nothing new, of course. Life insurance companies live by that. If nothing changes, its easy to get it right statistically. But life changes. The companies will try to keep up. AI can only work with yesterdays news, as accurately the weather forecast.

The biggest fraud after Bitcoin, AI research still receives enormous amounts of money. What a waste. Call it data collectors. Thats honest. And data collectors can be useful. But Artificial Intelligence is neither.

Where stupid meets evil: AI not only fakes creativity and is really only old hat all over again, it also leads to stereotyping and confirming prejudices.

I dont know whats so terrible about letting computers fake teaching Judaism. Most teachers and Jews only seem to repeat what everyone says already, and thats what AI does perfectly. Just set creativity and integrity to zero and copy to 100, and no one already can tell the difference. Sadly.

MM is a prolific and creative writer and thinker, an almost daily blog contributor to the Times of Israel, and previously, for decades, he was known to the Jerusalem Post readers as a frequent letter writer. He often makes his readers laugh, mad, or assume he's nutsclose to perfect blogging. He's proud that his analytical short comments are removed both from left-wing and right-wing news sites. None of his content is (partly) generated by AI. *As a frontier thinker, he sees things many don't yet. He's half a prophet. Half. Let's not exaggerate. He doesn't believe that people observe and think in a vacuum. He, therefore, wanted a broad bio that readers interested can track a bit about what (lack of) backgrounds, experiences, and education contribute to his visions. *If you don't know the Dutch, get an American peek behind the scenes here: https://youtu.be/QMPp6h6r72M *To find less-recent posts on subject XXX among his 2000 archived ones, go to the right-top corner of a Times of Israel page, click on the search icon and search "zuiden, XXX". One can find a second, wilder blog, to which one may subscribe, here: https://mmvanzuiden.wordpress.com/. *Like most of his readers, he believes in being friendly, respectful, and loyal. Yet, if you think those are his absolute top priorities, you might end up disappointed. His first loyalty is to the truth. He will try to stay within the limits of democratic and Jewish law, but he won't lie to support opinions or people who don't deserve that. He admits that he sometimes exaggerates to make a point, which could have him come across as nasty, while in actuality, he's quite a lovely person to interact with. He holds - how Dutch - that a strong opinion doesn't imply intolerance of other views. *Sometimes he's misunderstood because his wide and diverse field of vision seldomly fits any specialist's box. But that's exactly what some love about him. He has written a lot about Psychology (including Sexuality and Abuse), Medicine (including physical immortality), Science (including basic statistics), Politics (Israel, the US, and the Netherlands, Activism), Oppression and Liberation (intersectionally, for young people, the elderly, non-Whites, women, workers, Jews, LGBTQIA+, foreigners and anyone else who's dehumanized or exploited), Integrity, Philosophy, Jews (Judaism, Zionism, Holocaust, and Jewish Liberation), the Climate Crisis, Ecology and Veganism, Affairs from the news, or the Torah Portion of the Week, or new insights that suddenly befell him. *His most influential teachers (chronologically) are his parents, Nico (natan) van Zuiden and Betty (beisye) Nieweg, Wim Kan, Mozart, Harvey Jackins, Marshal Rosenberg, Reb Shlomo Carlebach, and, lehavdil bein chayim lechayim, Rabbi Dr. Natan Lopes Cardozo, Rav Zev Leff, and Rav Meir Lubin. *One of his rabbis calls him Mr. Innovation [Ish haChidushim]. Yet, his originalities seem to root deeply in traditional Judaism, though they may grow in unexpected directions. In fact, he claims he's modernizing nothing. Rather, mainly basing himself on the basic Hebrew Torah text, he tries to rediscover classical Jewish thought almost lost in thousands of years of stifling Gentile domination and Jewish assimilation. (He pleads for a close reading of the Torah instead of going by rough assumptions of what it would probably mean and before fleeing to Commentaries.) This, in all aspects of life, but prominently in the areas of Free Will, Activism, Homosexuality for men, and Redemption. *He hopes that his words will inspire and inform, and disturb the comfortable and comfort the disturbed. He aims to bring a fresh perspective rather than harp on the obvious and familiar. He loves to write encyclopedic overviews. He doesn't expect his readers to agree. Rather, original minds should be disputed. In short, his main political positions are among others: anti-Trumpism, anti-elitism, anti-bigotry and supremacy, for Zionism, Intersectionality, and non-violence, anti those who abuse democratic liberties, anti the fake ME peace process, for original-Orthodoxy, pro-Science, pro-Free Will, anti-blaming-the-victim, and for down-to-earth, classical optimism, and happiness. *He is a fetal survivor of the pharmaceutical industry (https://diethylstilbestrol.co.uk/studies/des-and-psychological-health/), born in 1953 to parents who were Dutch-Jewish Holocaust survivors who met in the largest concentration camp in the Netherlands, Westerbork. He grew up a humble listener. It took him decades to become a speaker too. Bullies and con artists almost instantaneously envy and hate him. *He holds a BA in medicine (University of Amsterdam) is half a doctor. He practices Re-evaluation Co-counseling since 1977, is not an official teacher anymore, and became a friendly, empowering therapist. He became a social activist, became religious, made Aliyah, and raised three wonderful kids non-violently. For a couple of years, he was active in hasbara to the Dutch-speaking public. He wrote an unpublished tome about Jewish Free Will. He's being a strict vegan since 2008. He's an Orthodox Jew but not a rabbi. He lives with his library in Jerusalem. Feel free to contact him. *His writing has been made possible by a (second-generation) Holocaust survivors' allowance from the Netherlands. It has been his dream since he was 38 to try to make a difference by teaching through writing. He had three times 9-out-of-10 for Dutch at his high school finals but is spending his days communicating in English and Hebrew - how ironic. G-d must have a fine sense of humor. In case you wonder - yes, he is a bit dyslectic. If you're a native English speaker and wonder why you should read from people whose English is only their second language, consider the advantage of having an original peek outside of your cultural bubble. *To send any personal reaction to him, scroll to the top of the blog post and click Contact Me. *His newest books you may find here: https://www.amazon.com/s?i=stripbooks&rh=p_27%3AMoshe-Mordechai%2FMaurits+van+Zuiden&s=relevancerank&text=Moshe-Mordechai%2FMaurits+van+Zuiden&ref=dp_byline_sr_book_1

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An Artificial Intelligence writing tool is a euphemism for a dumb ghostwriter - The Times of Israel

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2 Artificial Intelligence (AI) Stocks to Buy Before the Nasdaq Surges in 2024 – The Motley Fool

Wall Street is ending 2023 on a high note. The technology-heavy Nasdaq Composite gained about 43% in 2023. It may rise even higher in the coming months, driven mainly by positive economic indicators such as higher-than-expected corporate earnings and third-quarter gross domestic product (GDP) growth that surpassed most forecasts.

A potential economic recovery makes it easier for technology companies to access capital for disruptive innovations. Not surprisingly, being composed of many innovative-technology stocks, the Nasdaq Composite will benefit significantly in the case of an uptick in economic activity in 2024.

Artificial intelligence (AI) has been the hottest investment theme in 2023, and is poised to remain a major trend in 2024. Improvement in the economic landscape may drive up share prices of many AI stocks in the coming months. Hence, it makes sense to pick up small stakes in some fundamentally strong AI stocks with well-proven monetization models. Here's why Advanced Micro Devices (AMD 1.89%) and Super Micro Computer (SMCI 1.15%) fit the bill.

The first name on my AI stock list is leading chip designer Advanced Micro Devices (AMD 1.89%) -- a stock that has gained almost 130% in 2023. This semiconductor giant needs no introduction, especially since the company has been frequently in the news for its advances in the field of graphic processing units (GPUs) and central processing units (CPUs).

AMD expects demand for AI infrastructure in cloud, enterprise, embedded, and personal computing use cases to grow rapidly in future years. The company has also estimated the target addressable market of the data-center accelerator market to grow annually at more than 70% and reach $400 billion by 2027.

AMD's recently launched Instinct MI300 family of accelerators, optimized for power-intensive AI and high-performance computing (HPC) workloads in data centers, seem well positioned to capitalize on this growing opportunity. Chief Executive Officer Lisa Su claimed that while MI300 chips are comparable to Nvidia'sH100 chips in training large language models (LLMs), they are 1.4 times better in performance for inferencing (real-time running) models. Further, the company is also striving to ensure a sufficient supply of MI300 chips to meet the rising demand from cloud and enterprise segments. AMD expects MI300 revenue to surpass the $2 billion target in 2024.

Besides MI300 chips, AMD is also focusing on offering a broad range of other energy-efficient GPUs, CPUs, and adaptive computing solutions for training and inferencing LLMs. The company is also working to develop networking solutions that can orchestrate across multiple GPUs for AI applications.

AMD has further developed a robust, open, proven, and developer-friendly software ecosystem for GPU computations called the ROCm (Radeon Open Compute) software stack. This includes frameworks, libraries, compilers, drivers, developing tools, and APIs (application programming interfaces) that support multiple programming models. ROCm is further supporting the adoption of AMD's chips in the AI and high-performance computing (HPC) markets.

Besides strength in its AI business, AMD's core server CPU business and personal computing business are also showing signs of improvement. In the third quarter, the company's fourth-generation Epyc server processor revenue was up sequentially by more than 50%. The company also witnessed rising demand for its Genoa and Bergamo chips from hyperscale customers. Furthermore, the company reported a solid 50% sequential growth in its client segment in the third quarter.

Considering the future growth potential in the AI business and the strength of its core offerings, AMD can be a great stock to buy ahead of more Nasdaq gains.

The second stock on my list is Super Micro Computer, a leading provider of high-end server and storage systems, which has emerged as a major beneficiary of the explosive growth in the AI market. The company reported a surge in demand for its LLM-optimized AI platforms, especially for Nvidia's HGX-H100 server building block integrated into its servers, in the first quarter of fiscal 2024 (ended Sept. 30).

SMCI is also gearing up to monetize its new AI-optimized server offerings based on Nvidia's GH200 Grace Hopper Superchip, AMD's MI250 and MI300 family of chips, and Intel's Gaudi 2 CPU. Being the first to market advanced servers with the latest silicon chips gives the company a solid edge against the competition.

Super Micro has been quite successful in differentiating its products from other mass-produced servers, mainly due to its "building block" or modular approach of assembling proprietary chips and networking technologies into servers. Unlike traditional servers, which require a significant overhaul to suit different applications and technology upgrades, SMCI's highly configurable servers enable customers to easily scale or replace components, at minimal cost. The company's liquid cooling technology also allows better energy utilization and thermal management of its datacenter server and storage solutions. Considering the high-power consumption and thermal challenges posed by AI-optimized servers, SMCI's energy efficiency solutions are helping bring down data-center costs. The company is now expecting 20% of the total data-center deployments to opt for its liquid cooling technology.

Besides the AI training market, Super Micro is also benefiting from rising demand for servers in telecommunication-optimized edge computing products and AI inferencing platforms.

Despite the many pros, Super Micro currently trades at only 2.2 times trailing-12-month sales -- quite reasonable considering that analysts on average expect the company's revenue to grow 51% year over year to $10.76 billion in fiscal 2024 (ending June 30, 2024). Hence, Super Micro seems to be a compelling pick now.

Manali Bhade has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices and Nvidia. The Motley Fool recommends Intel and Super Micro Computer and recommends the following options: long January 2023 $57.50 calls on Intel, long January 2025 $45 calls on Intel, and short February 2024 $47 calls on Intel. The Motley Fool has a disclosure policy.

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2 Artificial Intelligence (AI) Stocks to Buy Before the Nasdaq Surges in 2024 - The Motley Fool

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