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About iLocal, Inc.

iLocal, Inc. is a full-service digital agency specializing in website development, SEO, and online marketing solutions. With a team of skilled developers, designers, and SEO experts, iLocal, Inc. has helped businesses across various industries enhance their online presence and achieve sustainable growth.

(NewsUSA) - Three key areas of technology – internet platforms, advanced battery technologies, and next-gen networks – have shown shifts in positions of power between the United States and China in the last few years, according to a recent report from the Special Competitive Studies Project (SCSP), a nonprofit and nonpartisan initiative with a goal of making recommendations to strengthen America's long-term competitiveness in AI.

Internet Platforms: U.S. Leads. Overall, the United States is ahead of China in terms of market capitalization and use of internet platforms to connect, communicate, and find information. As of July 2024, U.S.-based social media companies had the top four spots in highest number of monthly active users worldwide.

However, the popularity of People’s Republic of China (PRC) platforms, notably TikTok, shows that China’s growing impact on social media is not a fluke. Chinese e-commerce apps Temu and Shein also have experienced a surge in popularity worldwide, and something to watch is China’s Huawei, who plans to launch an app system on par with Apple’s App Store and Google’s Play Store.

Advanced Batteries: China Leads. China currently retains its grip on the battery supply chain, mainly through refinement of critical minerals. In 2023, China refined a majority of three key minerals needed for batteries: graphite (91%), cobalt (77%), and lithium (65%).

The U.S. does not currently rank among the top 10 global EV battery makers, but efforts are underway to increase U.S. competitiveness in the global battery supply chain. Specifically, “the 2022 Inflation Reduction Act (IRA), aims to reduce U.S. reliance on China for batteries by offering tax credits to companies that manufacture them domestically,” according to the SCSP experts. Looking ahead, AI innovations in battery-related R&D could transform the energy storage sector and will be the lynchpin for the United States to regain an upper hand in the sector. 

Next-Gen Networks: U.S. Leads. The key to next-generation connectivity is low-orbit non-terrestrial networks (NTNs), and the U.S. currently has a strong lead in this area. The success of companies such as Starlink, which has deployed more than 5,000 low-earth orbit (LEO) satellites, is a prime example.

China is attempting to increase its stake in advanced networks through deployment of 6G networks, for which it has filed nearly double the number of patents as the U.S. On both the technological and standard-setting fronts, the U.S. needs to pay more attention to 6G, or risk losing out to China as it did with 5G.

Visit scsp.ai to learn more about the United States’ position in the global geopolitical technology competition.

(NewsUSA) - Artificial intelligence (AI) creates many things, including a staggering demand for energy, and the United States is exploring ways to meet the power requirements of the future, according to experts at the recent AI + Energy Summit in Washington, D.C.

 The Special Competitive Studies Project (SCSP), a nonprofit and nonpartisan initiative with a goal of making recommendations to strengthen America's long-term competitiveness in AI, hosted the Summit, which brought together top policymakers, technologists, and energy industry leaders.

SCSP identified 12 key takeaways that should be part of a strategy for how America can maintain its competitive edge at the intersection of AI and energy.

1. Acknowledge the surge in energy demand. AI applications could potentially drive a 160% increase in global energy demand from data centers by 2030.

2. Modernize electrical infrastructure. A smart and flexible grid is essential to handle the demands of AI and renewable energy.

3. Improve energy systems. Using AI to improve energy systems to power more AI could be a key accelerator of progress.

4. Rethink nuclear regulations. Thoughtful regulatory reform could open the door for small nuclear reactors that could power AI data centers.

5. Consider climate benefits. The energy demands of AI could accelerate the transition to clean energy by helping to reshape energy infrastructure.

6. Take risks on emerging technology. Fusion and advanced geothermal technology, which taps into the earth's heat, have great potential payoffs as energy sources.

7. Embrace the moonshot mentality. Create a regulatory system that allows public and private sectors to explore and push boundaries.

8. Support public-private partnerships. Empower the Department of Energy's national labs to act more like startups and partner with the private sector to expand promising energy technology and innovation.

9. Build a pipeline. Encourage the government to focus on early-stage, high-risk research to create a pipeline of technology for private companies to commercialize and scale.

10. Maintain global leadership. Only a handful of AI training clusters exist globally, and where they are located will shape the future of AI development and energy geopolitics, so the U.S. needs to pay attention to these locations and engage allies in order to maintain energy leadership.

11. Create a coherent strategy. Leverage the American innovation culture of risk-taking to promote fundamental research and entrepreneurship in order to continue to compete with China in areas such as fusion and advanced nuclear.

12. Invest in technical education. Developing talent and building a workforce to deploy and maintain next-generation energy systems is especially crucial for fusion and advanced geothermal systems.

By focusing on smart regulatory reform, workforce retraining, and global competitiveness, the United States can stay ahead in this evolving landscape, SCSP concluded at the Summit.

To read more about the key takeaways from the AI+ Energy Summit, read Memo to the President on AI & Energy - Key Takeaways from SCSP's AI+ Energy Summit and visit scsp.ai to learn more.

(NewsUSA) - As advances in artificial intelligence continue to transform the world, the integration of AI and robotics will have a significant impact on many areas, and will change both fields. The Special Competitive Studies Project (SCSP), a nonprofit and nonpartisan initiative with a goal of making recommendations to strengthen America's long-term competitiveness in AI, will address the topic of AI and robotics at its upcoming AI+ Robotics Summit, the second of its AI+ Summit Series. 

The AI+ Robotics Summit will take place on October 23, 2024, in Washington, D.C. 

The goal of the summit is to chart a national strategy for leadership in AI-enabled robotics. The event brings together innovation leaders not only to demonstrate the latest directions in robotics technology, but also to discuss policy implications and identify the essential variables for U.S. competitiveness in robotics and AI.

The program will consist of discussions between leading experts on the future of robotics, the shape of the robotics innovation ecosystem, the autonomy revolution, robotics in manufacturing, the impact of robots on the future of work, and more. 

Attendees will also have the opportunity to experience robotics innovation demos related to national competitiveness domains.

Visit scsp.ai to learn more.

(NewsUSA) - As artificial intelligence technology grows stronger, what we known about the complexity of the human brain provides perspective to its development, according to experts at experts at the Special Competitive Studies Project (SCSP), a nonprofit and nonpartisan initiative with a goal of making recommendations to strengthen America's long-term competitiveness in AI.

 “Like the journey of understanding our minds, it is essential to the human experience to step back and imagine how a more powerful form of artificial intelligence (AI) will arrive in leaps, including the next 12-18 months,” said Ylli Bajraktari, CEO of the Special Competitive Studies Project, in a recent blog post.

He identified three megatrends that could contribute to artificial general intelligence (AGI) in the future.

Better generative AI. Large generative AI models such as GPT-4 continue to scale up their performance and become bigger, faster, and stronger. The upward vector will increase until it reaches a plateau, and many experts predict that the LLM (learned language model) may plateau at some useful cost point and continue to serve as the user interface (UI) between people and AI systems-of-systems because LLMs “speak our language.” 

Combined AI Activity. New approaches to specific AI functions will allow AI to perform more human-like tasks by combining functions as well as improving in scale. A combination of today’s AI with capabilities such as better reasoning, planning, creativity, memory, and sensing, as well as the ability to orchestrate the inputs from over 700 specialized GPT models, would yield something much more general.

This megatrend has economic consequences, as it opens a dynamic space in which small and medium-sized companies can flourish. Some of the key advancements in the global AI community include the ability to fuse data from different sources (multimodality), chain of thought reasoning, and planning/scaffolding/framing, which allow AI to progress towards human-like strategizing and problem-solving.

Transformation of technology. The arrival of AGI also will occur by transforming the fundamental technologies upon which AI depends, such as computing, data, microelectronics, networks, and energy. Quantum computing will likely serve as a source for modeling the real world. Ongoing improvements in microelectronics will continue to support human-like memory capabilities in AI, and advanced networks will allow AI systems to react and make decisions almost instantly, like a self-driving car avoiding an accident before you even see the danger.

Although it is likely that these three megatrends will develop, interact, intertwine and combine to create the fourth way to AGI, questions remain about how the megatrends will combine, when it will happen, who will do it, and which drivers will matter most. “Getting positioned and organized for the arrival of this general-purpose technology is a defining challenge of our era,” according to the experts at SCSP.

Visit scsp.ai to learn more.

(NewsUSA) - The United States leads the world in artificial intelligence (AI), but this edge is at risk without a solution to the energy crisis caused by data centers that power AI, onshore manufacturing, and rapid electrification according to experts at the Special Competitive Studies Project (SCSP), a nonprofit and nonpartisan initiative with a goal of making recommendations to strengthen America's long-term competitiveness in AI and other emerging technologies.

Recent estimates suggest that the increasing use of commercial AI models will cause a 160% increase in energy consumption by 2030, the SCSP experts say.

Currently, single data centers are the sources of energy for training and running frontier AI models. If the increase in power continues as predicted these data centers would require up to a gigawatt (GW) of power for a single center—approximately the same amount of energy consumed by 750,000 U.S. households.

“To believe that the United States would need 10 GW data centers in the next three or four years only requires believing that current expansions of computing power continue to hold,” according to SCSP.

To get the U.S. on track to meet these energy demands, SCSP experts have recommended various options to speed up energy infrastructure buildouts, but these require reforms such as reducing the statute of limitations and standing for NEPA claims (to eliminate frivolous litigation) and standing up a federal court with exclusive jurisdiction over permitting cases (to expedite legal proceedings).

Some other aspects of improvement to support the energy needs of AI include:

- Fixing the grid. The current U.S. power grid relies on outdated analog designs, and modernization is essential to getting power to where it needs to go.

-Using AI. Researchers have used machine learning in real-time to reduce the amount of energy escaping from fusion reactions, which improves efficiency without sacrificing quality. The Department of Energy (DOE) also uses AI for advanced computing, emergency response, environmental modeling, climate forecasting, materials research, and more.

-Developing advanced technology. Nuclear reactors are strong candidates for delivering energy, but sluggish timelines and high price tags slow the process of development, as do regulations. The SCSP experts argue that fusion energy may become another useful component of a long-term energy buildout.

Getting serious about AI means getting serious about energy, and the SCSP’s upcoming SCSP’s AI + Energy Summit will convene the nation’s top experts to collaborate on energy solutions.

Visit scsp.ai to learn more.

(NewsUSA) - The U.S. economy remains dynamic and robust, but continued focus on advanced manufacturing is needed to cement U.S. leadership in industries of the future, according to experts at the Special Competitive Studies Project (SCSP), a nonprofit and nonpartisan initiative with a goal of making recommendations to strengthen America's long-term competitiveness in artificial intelligence (AI).

As China seeks to position advanced industries as the main growth engine of its economy, U.S. leadership in AI, and increased investment in cloud infrastructure and enterprise-scale AI could help accelerate innovation in technology, SCSP experts wrote in a recent online article.

Currently, the U.S. is falling behind China in production capacity for advanced industries including semiconductors and clean energy. These areas are crucial to America’s economic competitiveness and national security, and the U.S. production of the world’s high-tech goods has fallen from more than 40% to 18% since 1980.

To maximize U.S. advantages and remain competitive in advanced industries on a global scale, the SCSP experts propose a three-pronged strategy with focus on production, markets, and people.

Begin with production. Invest in manufacturing-innovation programs and promote the adoption of advanced technologies by small and medium-size manufacturers. The U.S. should also create incentives for investment in “smart factories” that capitalize on ways to accelerate innovation with increased flexibility and lower cost.

Secure the markets. Develop a trade policy that secures supply chains for products such as Internet of Things modules, networking components and industrial robots, and reduces reliance on China for production.

Promote and support the workforce. A comprehensive techno-industrial strategy requires investments in human capital. Advanced industries in the U.S. continue to face crippling workforce shortages. Strategies to overcome these shortages include ensuring AI capability in all school classrooms by 2030, lowering immigration barriers for highly-skilled workers, and creating national workforce frameworks for advanced manufacturing.

Although the U.S. economy is on a strong footing, China’s shift toward advanced industries sets the stage for a potential economic and strategy advantage. However, the U.S. can leverage its own existing advantages by proactively driving investments in advanced manufacturing, pursuing a strategic trade policy, and strengthening its workforce, according to SCSP.

Read SCSP's Vision for Competitiveness: Mid-Decade Opportunities for Strategic Victory and visit scsp.ai to learn more.

(NewsUSA) - Threats to global stability continue to evolve to include greater use of artificial intelligence (AI) to promote disinformation, according to experts at the Special Competitive Studies Project (SCSP), a nonprofit and nonpartisan initiative with a mission of making recommendations to strengthen America's long-term competitiveness in AI.

The need for NATO member countries to keep hostile regimes from using AI disinformation to manipulate public opinion is becoming increasingly important.

This “cognitive warfare” or information warfare, is not a new concept, but the digital revolution and use of AI allows bad actors to disseminate deepfakes and AI-augmented content at a previously unfathomable speed.

SCSP experts offer several strategies for how NATO countries can confront the threat of AI-augmented disinformation head-on. “This requires moving beyond the current reactive approach, which focuses on debunking falsehoods,” according to SCSP.

-Monitor disinformation in real-time. Investing in open-source intelligence tools and working with tech companies can help develop the expertise to identify and counter malevolent disinformation campaigns. Also, better authenticity tools are needed to identify altered or AI-generated content.

-Discredit disinformation immediately. NATO must proactively promote its own interests and mission. NATO should provide its own positive narrative to get out ahead of disinformation, and highlight failures of authoritarian regimes, especially on their own digital platforms.

-Initiate partnerships. Establishing and strengthening collaborative relationships with governments, private companies, and civil-society organizations can help NATO develop early warning systems and coordinate stronger and faster responses to disinformation campaigns.

-Foster healthy skepticism. Supporting programs to promote media and digital literacy can help reduce the impact of disinformation. Educating the public to apply critical thinking skills to online information can help build societal resilience against propaganda and voter manipulation.

To achieve these goals, SCSP experts recommend the creation of a disinformation unit within NATO responsible for coordinating intelligence, spearheading counter-messaging efforts, and building strategic partnerships. “Such a unit could leverage the Five Eyes intelligence alliance (the United States, the United Kingdom, Australia, New Zealand, and Canada), as well as the work of Europol – the European Union’s law-enforcement agency – to bolster and expand information-sharing networks,” according to SCSP.

Visit scsp.ai for more information about the importance of strengthening America’s competitiveness as AI and other emerging technologies are reshaping our national security, economy, and society.

(NewsUSA) - Artificial intelligence (AI) continues to transform the United States and the world. To promote and inform rapid advancements in AI and maintain America’s global competitiveness, the Special Competitive Studies Project (SCSP), a nonprofit and nonpartisan initiative with a goal of making recommendations to strengthen America's long-term competitiveness in AI, announces the AI+ Summit Series.

The series kicks off with the topic of energy. The AI + Energy Summit, scheduled for September 26, 2024, in Washington, D.C., will bring together policy makers, energy industry leaders, top government and academic energy researchers, and technologists to address the challenges of AI’s energy consumption and develop solutions for a resilient and abundant energy future. The event also aims to address the implications of AI and energy for national security and promote partnerships between AI and energy stakeholders.

AI and other emerging technologies can help the United States take the lead in energy areas including maximizing energy efficiencies, discovering new materials, and enabling new forms of power generation. AI also has a role to play in overcoming energy challenges. The Department of Energy (DOE) already uses AI in several areas including advanced computing, emergency response, environmental modeling, climate forecasting, and materials research.

SCSP’s recent “Action Plan for U.S. Leadership in Next-Generation Energy,” raises many issues related to AI and energy, including recommendations for the government to bring America forward. The AI+ Energy Summit will highlight these and other issues, and promote collaboration to solve problems. The stakes are high; if the U.S. falls short on energy, American adversaries could gain the upper hand in AI leadership, according to SCSP experts.

Visit scsp.ai to learn more about the AI+Energy Summit and the SCSP’s Next-Generation Energy Action Plan.

(NewsUSA) - The United States has fallen behind in applying artificial intelligence to the industrial sector, and changes are needed to maintain America’s national competitiveness, according to a report from the Special Competitive Studies Project (SCSP), a nonprofit and nonpartisan initiative with a goal of making recommendations to strengthen America's long-term competitiveness in artificial intelligence (AI).

The report identifies several technologies that are key to advanced manufacturing competitiveness:

Industrial AI.  Although American startups and Fortune 500 companies are building or already using industrial AI, the U.S. lacks the large-scale national programs to promote data sharing and training of industrial AI models in public and private sectors.

Robotics. Startups and academic institutions in the U.S. lead the world in robotics innovation, with goals of deploying humanoid robots at scale within the next decade, but China currently leads the world in the deployment of industrial robotics.

Industrial Internet of Things. Industrial Internet of Things (IIoT) platforms may ultimately allow manufacturers to create whole-factory “operating systems.” While U.S. firms offer scalable IIoT platforms that China has struggled to match, Chinese firms have found their niche in the underlying hardware for these platforms.

Advanced Networks. The spread of public 5G networks continues worldwide. The U.S. and allies continue to take steps to mitigate safety concerns posed by Chinese networking components. However, China is prioritizing 5G networks as a way to increase leadership in the geopolitical tech competition.

In the report, the SCSP offers seven steps for leaders to increase and improve the U.S. leadership in advanced manufacturing:

Launch: National moonshots can strengthen the industrial system-of-systems and pilot programs can help strengthen the U.S. industrial base as a whole.

Organize. Policy coordination is needed to support core manufacturing technology innovation programs. SCSP calls for the creation of a White House-level office to enhance policy coordination, and strengthening federal manufacturing programs to bring urgency to the advanced manufacturing agenda.

Innovate. A revitalized approach to research and development funding would promote necessary innovation, according to SCSP. For example, a public-private “focused research organization,” modeled on Bell Labs could accelerate manufacturing technology innovation.

Promote. Innovative programs and financing are needed to promote adoption of advanced manufacturing paradigms, with strategies such as consolidating and leveraging tax policies and credit for small and medium-sized manufacturers.

Pushback. The U.S. should build trade alliances with trusted allies and partners to create new markets for U.S. manufacturers, while strengthening economic ties and resisting against the PRC’s anticompetitive practices.

Defend. Defending the U.S. industrial base against AI-enabled cyberattacks requires a new approach to industrial cyberdefense as digitalization expands the attack surface.

Cultivate. More training is needed to address talent shortages and skills gaps. The creation of a one-stop resource would help organizations match talent to job opportunities in advanced manufacturing.

Visit scsp.ai to learn more and to read the full National Action Plan for U.S. Leadership in Advanced Manufacturing.