Author: yasmeeta

Italian Founders Fund is ready to invest €50 million in entrepreneurs who have global aspirations.

While Italy is known for its rich history and vibrant culture, it is not the first country that comes to mind when thinking of startup hubs in Europe. However, recent developments indicate that this might be changing. Italy ranks eighth in Europe in terms of venture capital investment, a position it is striving to improve with the introduction of the Italian Founders Fund (IFF).

Boosting Italian Startups

IFF has been established with a substantial commitment of €50 million to invest in about 25 promising companies. This new fund is not limited to any specific sector, aiming to be both founder-friendly and versatile, addressing various entrepreneurial pain points. Lorenzo Franzi, a founding partner of IFF, discussed the mission to support early-stage founders in Italy who struggle to find committed lead investors at critical pre-seed and seed stages.

Portfolio Growth and Strategic Goals

To date, IFF’s portfolio already includes four companies, with a fifth deal currently underway. Among these, the fund led a 2023 funding round for the HR tech startup Jet HR, following an investment in the customer research platform Glaut. The strategic direction of IFF focuses on several key areas:

  • Key Hires and Commercial Expansion: IFF supports its portfolio companies in identifying and recruiting essential personnel, expanding business operations, and securing strategic partnerships.
  • Hands-on Investment Approach: Unlike traditional angel investing, which can suffer from issues like limited analysis and undersized funding rounds, IFF brings structured and proactive support to its investments.

Current IFF Portfolio Highlights

Company Industry Investment Date Key Focus
Glaut Customer Research April 2023 Enhancing data-driven insights
Jet HR HR Tech 2023 Streamlining HR operations

Addressing Market Challenges

While IFF has set ambitious goals, Franzi acknowledges some limitations. High taxes and complex bureaucratic processes remain significant challenges that a private VC firm alone cannot mitigate. However, recent public initiatives aim to enhance Italy’s appeal and the competitiveness of its tech sector. Unlike state-backed entities like CDP Capital, IFF operates entirely with private funding, giving it the freedom to invest without geographic constraints.

This flexibility will be crucial as IFF plans to support Italian founders both domestically and abroad, and to attract foreign startups interested in the Italian market. The fund also aims to establish connections with foreign VC funds for co-investments in its portfolio, either initially or in subsequent funding rounds.

Global Connections and Local Impact

The influence of IFF extends beyond Italy’s borders. It supports Italian entrepreneurs with global aspirations, helping them to connect and compete on an international stage. Notable global Italian startups like Bending Spoons, known for popular apps like Evernote and Meetup, exemplify the potential of Italian innovation on the global market.

IFF’s Backers: A Broad Spectrum

  • Diverse Backgrounds: IFF’s financial backers include approximately 100 Italian entrepreneurs from various sectors and generations.
  • Shared Vision: These backers are united by a common goal—to establish Italy as a top location in Europe for launching and growing businesses.

Long-Term Vision and Management

Managed by KOINOS Capital, a private equity firm diversifying into venture capital, IFF is inspired by successful international examples such as the U.S.’s Founders Fund and France’s Galion.exe. These founder-led funds have proven effective in other markets, and IFF aims to replicate this success in Italy.

Conclusion

The creation of the Italian Founders Fund marks a significant step in the maturation of Italy’s startup ecosystem. While venture capital numbers are on the rise, there is still much work to be done. “Challenging the status quo on processes, speed, and an entrepreneur-focused mindset is essential,” Franzi emphasizes. With its comprehensive approach and strategic investments, IFF is poised to play a pivotal role in reshaping Italy’s position in the European startup landscape.

Research from Harvard, MIT, and Wharton highlights the risks of depending on junior staff to train AI systems.

As businesses rapidly incorporate artificial intelligence (AI) into their operations, the prevailing belief is that younger, technologically adept employees will spearhead educating their senior managers on effectively harnessing these advanced tools. However, a recent study challenges this notion, especially concerning the use of generative AI technologies.

Study Details and Key Participants

The study was a collaborative effort involving scholars from prestigious institutions such as Harvard Business School, MIT, and Wharton, in partnership with Boston Consulting Group. The research focused on the interactions and experiences of junior employees with generative AI systems, particularly GPT-4, in real-world business scenarios.

Unexpected Findings from Junior Consultants

Contrary to expectations, the study revealed that junior employees, often presumed to be tech-savvy, might not be the best resources for guiding senior professionals in the effective use of emerging technologies like generative AI. The findings showed that the risk mitigation strategies proposed by these junior consultants frequently contradicted expert advice and lacked a deep understanding of AI’s capabilities.

Key Insights from the Study:

  • Junior Consultants’ Tactics: The research highlighted that the strategies suggested by junior employees to alleviate seniors’ concerns about AI risks were often misaligned with expert recommendations. These tactics were more about altering human behavior than enhancing the AI system’s design.
  • Focus on Short-term Solutions: Many recommendations were project-specific rather than aimed at broader organizational or industry-wide applications, suggesting a narrow scope of understanding.

In-depth Analysis of the Research Findings

1. Limited Technical Expertise The study found that junior consultants typically had minimal technical expertise in AI. Their recommendations were based more on general knowledge and less on a technical understanding of AI systems like GPT-4.

2. Risk Mitigation Approaches Junior employees tended to focus on immediate, surface-level solutions rather than systemic changes or in-depth strategies that could be more beneficial in the long run.

Challenges in Adopting Generative AI in Business

The rapid evolution of generative AI technologies presents significant challenges and opportunities for businesses. These AI systems can perform tasks such as engaging in detailed dialogues, responding to follow-up questions, and assisting in writing, analysis, and coding tasks. However, the study underscores the necessity of comprehensive AI governance and the need for expert input at all organizational levels.

Navigating AI Implementation Challenges:

  • Top-down Governance: Effective AI implementation requires informed leadership rather than relying solely on the knowledge of digital natives within the organization.
  • Expert Involvement: Incorporating AI experts into strategic planning and implementation processes is crucial to address potential risks and optimize AI usage.

Moving Forward: Recommendations for Effective AI Adoption

The findings advocate for a structured approach to AI adoption in corporate settings:

  • Upskilling Programs: Develop extensive training programs to enhance the AI competence of employees across all levels.
  • Leadership Roles: Senior professionals should take proactive roles in understanding and integrating new technologies to lead their teams effectively.
  • Future-proofing Strategies: Businesses need to anticipate future technological advancements and their potential impacts on industry and internal operations.

Summary in Bullet Points

  • Study Collaboration: Involvement of top academic institutions and Boston Consulting Group.
  • Key Finding: Junior employees may not be ideal mentors for senior staff in AI adoption.
  • Recommendations: Emphasize top-down governance, expert involvement, and comprehensive training.

This extensive study not only highlights a critical gap in the assumed capabilities of junior employees concerning AI but also sets the stage for rethinking how businesses should approach the integration of these powerful technologies into their workflows. Senior leaders are encouraged to take a more active role in understanding and guiding AI initiatives to ensure that their organizations can fully leverage AI’s capabilities responsibly and effectively.

Crystal Sonic Emerges Victorious in Lam Capital Venture Competition, Securing $250,000 Investment

At the Enabling Future Semiconductors event held at Lam Research’s headquarters in Fremont, California, Crystal Sonic emerged as the winner of the third Lam Capital Venture Competition, securing a $250,000 investment from Lam Capital. The event, which focused on exploring novel semiconductor technology and manufacturing technologies, highlighted a dozen different startups who were the finalists among 70 applicants in the semiconductor-focused competition.

Winner and Runner-Up
Crystal Sonic, a chip-related startup, won the competition by showcasing its innovative technology that helps semiconductor manufacturers reduce waste and cost by enabling thin device lift-off and substrate re-use. This technology allows for the separation of parts of the substrate and reusing it, thereby reducing the waste of chip-making materials. The runner-up, Lidrotec, makes tools for cutting semiconductor chips.

Lam Capital Venture Competition
The Lam Capital Venture Competition aims to invest in disruptive companies that advance the semiconductor ecosystem through next-generation industrial automation, technology, and product innovation. This is the third annual event for the competition, with the first event taking place before the pandemic in 2019. The competition is a significant platform for Lam Research, a 44-year-old semiconductor equipment manufacturing company, to nurture collaboration with customers and the wider chip ecosystem.

Judges and Applications
The six judges for the competition included Weili Dai, serial entrepreneur and cofounder of Marvell and a frequent investor in semiconductor startups including Silicon Box. Other judges included Rene Do, senior investment director, SK Hynix; Ben Haskell, investment director, Lam Capital; Amir Salek, senior managing director, Cerberus Capital Management; Vera Schroeder, partner, Safar Partners; and Lucas Tsai, senior director, market development and emerging business, TSMC North America.Many of the applicants had a heavy emphasis on AI, particularly as a way to counteract growing costs, increasing technological complexity, and sustainability issues. Lam Research has been investing in chip-related startups for years and has made 20 investments so far, with $1 million to $10 million going into each startup.

Impact on Lam Research
The competition is beneficial for Lam Research, as it enables the company to stay ahead of the curve in terms of innovation and to nurture collaboration with customers and the wider chip ecosystem. As Audrey Charles, senior vice president for corporate strategy at Lam Research, noted, “We can only be successful based on the types of innovation we see today.”

Lam Capital Venture Competition Winners

Year Winner Runner-Up Investment Amount
2019
2022
2024 Crystal Sonic Lidrotec $250,000

Key Points

  • Crystal Sonic: Helps semiconductor manufacturers reduce waste and cost by enabling thin device lift-off and substrate re-use.
  • Lidrotec: Makes tools for cutting semiconductor chips.
  • Lam Capital Venture Competition: Aims to invest in disruptive companies that advance the semiconductor ecosystem through next-generation industrial automation, technology, and product innovation.
  • Judges: Include Weili Dai, Rene Do, Ben Haskell, Amir Salek, Vera Schroeder, and Lucas Tsai.
  • Applications: Many applicants emphasized AI as a way to counteract growing costs, increasing technological complexity, and sustainability issues.
  • Lam Research Investments: Has made 20 investments so far, with $1 million to $10 million going into each startup

Nvidia boosts AI assistants on PCs with new GeForce RTX features.

Nvidia made a splash at Computex 2024, showcasing a suite of new RTX AI technologies designed to revolutionize AI assistants, digital humans, and content creation on laptops. Here’s a breakdown of the key announcements:

Project G-Assist: The AI Assistant of the Future

Project G-Assist is an RTX-powered AI assistant demo that offers context-aware help for PC games and applications. It leverages generative AI to understand players’ needs and provide assistance within the game itself. Here’s how it works:

Feature Description
Contextual Awareness G-Assist analyzes voice or text inputs and game screen information to understand the situation.
Large Language Model (LLM) A powerful LLM linked to a game knowledge database processes the information and generates tailored responses.
Personalized Support G-Assist personalizes its responses based on the player’s current game session.

Benefits of Project G-Assist:

  • Improved Gameplay: Gain insights into creatures, items, lore, objectives, and boss strategies.
  • Streamlined Workflows: Receive assistance with complex creative tasks within applications.
  • Performance Optimization: G-Assist can configure your system for optimal performance and efficiency.

Nvidia ACE Comes to RTX AI PCs

Nvidia is bringing its digital human development platform, Nvidia ACE, to RTX AI laptops and workstations. This allows developers to create lifelike digital humans with capabilities like natural language understanding, speech synthesis, and facial animation.

Key benefits of Nvidia ACE on RTX AI PCs:

  • Reduced Deployment Times: Leverage Nvidia NIM (inference microservices) to streamline development.
  • High-Quality Inference: Enables local processing of complex AI tasks for smooth performance.

Collaboration with Microsoft on Windows Copilot

Microsoft and Nvidia are teaming up to bring new AI capabilities to Windows applications. This collaboration will provide developers with access to GPU-accelerated small language models (SLMs) for tasks like content summarization, generation, and automation.

Faster and Smaller AI Models with RTX AI Toolkit

The RTX AI Toolkit is a suite of tools and resources designed to empower developers to build and deploy AI models specifically for RTX AI PCs. Here’s what it offers:

  • Model Customization: Open-source QLoRa tools allow for tailoring pre-trained models.
  • Model Optimization: Nvidia TensorRT optimizes models for faster performance and reduced memory usage.
  • Deployment Support: The Nvidia AI Inference Manager simplifies AI integration into PC applications.

Benefits of RTX AI Toolkit for Developers:

  • Faster Performance: Achieve up to 4x faster performance compared to pre-trained models.
  • Reduced Model Size: Models can be optimized to consume up to 3x less RAM.
  • Simplified Integration: The AI Inference Manager streamlines the integration process.

Integration with Popular Creative Applications

Several software partners are integrating components of the RTX AI Toolkit into their applications. This will unlock new possibilities for AI-powered content creation.

Examples of RTX AI Toolkit Integration:

  • Adobe Photoshop: Leverages TensorRT for faster performance and AI-powered capabilities.
  • ComfyUI: RTX acceleration delivers a 60% performance improvement over the current version.
  • Automatic1111: RTX acceleration streamlines workflows for Stable Diffusion users.

RTX Remix: A Boon for Modders

Nvidia is expanding the capabilities of RTX Remix, its modding platform for classic games. This update allows modders to create even more stunning remasters:

  • Open-Source Toolkit: More of the platform is becoming open-source, empowering the modding community.
  • Expanded Functionality: New features include streamlined asset replacement, scene relighting, and enhanced AI texture tools.
  • REST API and SDK: Integration with other content creation tools and games is now possible.

Benefits of RTX Remix for Modders:

  • Simplified Workflows: Streamlined asset replacement and scene relighting.
  • Enhanced Capabilities: New AI texture tools and support for more file formats.
  • Greater Integration: Live link with other tools and deployable renderer for broader use.

RTX Video Goes Beyond Browsers

Previously available only in web browsers, Nvidia RTX Video, the AI-powered video upscaling feature, is now available as an SDK for developers. This allows them to integrate AI for upscaling, sharpening, and HDR conversion within their applications.

Future of RTX Video:

  • Video Editing Software: Upscale video to 4K and convert SDR to HDR in DaVinci Resolve and Filmora.
  • VLC Media Player: Soon to offer RTX Video HDR capabilities for existing super-resolution features.

McKesson and Merck Invest in Atropos Health’s $33M Funding Round to Boost AI-Driven Drug Development

Silicon Valley-based Atropos Health has successfully raised $33 million in a Series B funding round, marking a significant step forward in its mission to integrate AI-powered, personalized real-world evidence into healthcare decision-making.

In a recent announcement, Atropos Health, a pioneer in generating personalized real-world evidence, disclosed a substantial $33 million acquisition in Series B funding. This investment round featured prominent contributions from healthcare behemoths like McKesson, Merck, and Cencora Ventures, indicating a robust industry endorsement of Atropos’ innovative approach to healthcare.

The funds are earmarked for a strategic expansion aimed at enhancing the company’s operational capacity and doubling down on critical initiatives. These include a deeper penetration into the life sciences sector, broadening channel partnerships in value-based care and oncology, and expanding its network of data partners to enrich its evidence base.

Brigham Hyde, PhD, CEO and co-founder of Atropos Health, expressed his enthusiasm in a VentureBeat interview, stating, “We’re on a mission to bring personalized evidence for care to everybody in the world. This funding is a pivotal step in that journey. Specifically, we’ll be focusing on reinforcing our strategic initiatives, continuing our successful launch in life sciences, and enhancing our partnerships, particularly in value-based and specialty care oncology.”

Atropos Health is not just another player in the healthcare field; it is a trailblazer aiming to close the pervasive “evidence gap” in medical decision-making. The company’s flagship technology, Geneva OS, harnesses artificial intelligence (AI) and automation to rapidly generate clinical-grade evidence from real-world data. This platform, which has been developed over nearly a decade of research at Stanford University, powers applications such as the generative AI assistant, ChatRWD.

The technology enables clinicians, researchers, and other healthcare stakeholders to swiftly access reliable clinical evidence, personalized to specific patient populations—a capability often missing in current healthcare practices. Dr. Hyde highlighted a concerning statistic in his interview: “Only about 14% of daily medical decisions have any high-quality evidence behind them. Our goal is to use high-quality data, analyzed correctly, to fill this evidence gap.”

The central mission of Atropos is to provide clinicians with easy access to personalized evidence, thereby enhancing patient outcomes. Dr. Hyde used the example of heart failure patients to illustrate the need for tailored evidence that caters to subpopulations with unique characteristics and comorbidities, which could lead to more effective treatments and cost control.

Atropos’ applications extend beyond clinical decision-making. The company collaborates with pharmaceutical leaders, including Janssen, to expedite drug development by leveraging real-world evidence for clinical trial design, patient recruitment, and more. Dr. Hyde even suggested that the platform could simulate clinical trials, potentially revolutionizing the way pharmaceutical research is conducted by reducing cycle times and de-risking trials.

Despite the excitement surrounding large language models (LLMs) and generative AI, Atropos prioritizes building trust through methodological rigor and transparency. Dr. Hyde expressed concerns about the “hallucination rates” in current AI models and emphasized that Geneva OS ensures clinical-grade quality and transparency, backed by a decade of publications.

Strategic Use of Series B Funding

Initiative Objective Expected Impact
Expansion in Life Sciences Enhance presence and partnerships in life sciences Broaden application of real-world evidence in R&D
Channel Partnerships Growth Focus on value-based care and oncology Improve treatment strategies and patient outcomes
Data Network Expansion Increase the network of data partners Enrich the quality and diversity of clinical evidence

With a fresh influx of capital and a roster of strategic backers, Atropos is poised to bring its vision of personalized, automated clinical evidence to the global healthcare landscape. “Evidence is the currency of value in healthcare,” Dr. Hyde posited. “What if I could give doctors more evidence, more personalized, so they make better decisions? Fundamentally, we’re trying to move the world to a point where all patients and all providers have access to quality, personalized evidence for their decision-making.”

This bold vision by Atropos Health not only promises to transform patient care but also positions the company as a frontrunner in the integration of AI and healthcare. As they continue to bridge the evidence gap, the future of healthcare looks promisingly precise, personalized, and powered by artificial intelligence.

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