Technology

Explore Autonomous Driving with MLF: More Efficient and Easier to Scale-Up

Published

2 years ago

June 3, 2024

FREMONT, Calif., June 3, 2024 /PRNewswire/ — In recent years, autonomous driving has made remarkable advancements. However, many autonomous driving systems suffer from insufficient generalization, struggling to expand operational ranges and handle unseen scenarios. These limitations often stem from reliance on traditional manual programming and rule-based algorithms, which cannot cover all real-world driving situations.

Recognizing the need for a more efficient and intelligent approach for next-generation autonomous driving, Nullmax, a pioneer in autonomous driving and embodied AI, put forward the Machine Learning First (MLF) strategy.

This forward-thinking development philosophy prioritizes the use of machine learning (ML) technologies to address challenges and optimize performance, replacing traditional rule-based algorithms. By leveraging ML, Nullmax is driving the development of smarter, more efficient autonomous systems.

The comprehensive application of machine learning enables the entire autonomous driving system to be driven by AI. Nullmax utilizes AI for visual recognition of objects and real-time generation of local maps, providing high-density perception data for the system’s learning-based planning.

Furthermore, MLF also improves validation through offline simulations, forming a data loop that allows for AI simulation and testing without being restricted by roads or regions, making it suitable for large-scale, rapid deployment.

Nullmax harnesses vast amounts of data and sophisticated data techniques to construct robust models. These models continue to learn from data, enabling them to make accurate predictions and informed decisions. This reliance on data ensures that Nullmax’s solutions are grounded in real-world scenarios and continually improve in precision and effectiveness.

Key Benefits of MLF

Automation and Intelligence: Machine learning enables the system to learn driving capabilities by itself from data, significantly reducing the need for human intervention and manual programming.Adaptability: The models continually refine and update themselves with new data, allowing them to effortlessly adapt to all environments and requirements.Efficient Big Data Processing: Machine learning excels at quickly processing and analyzing large datasets, contributing to model training and system iteration. This capability is crucial for the fast-paced demands of autonomous driving.

One of the key advantages of the MLF strategy is the dynamic capability of models to self-improve through the continuous acquisition of new data. This allows for ongoing optimization, ensuring Nullmax’s solutions remain at the pinnacle of efficiency and accuracy. By constantly evolving, the models deliver superior performance and adapt seamlessly to new environments. This continuous improvement process ensures that AI models refine themselves with more data and computational power, leading to enhanced performance over time.

At Nullmax, the MLF approach is the cornerstone of product development. This strategy emphasizes the use of ML methods over conventional programming or rule-based algorithms. Neural networks and ML represent a fundamental shift in software development, enabling more abstract and powerful solutions compared to conventional methods. By doing so, Nullmax ensures that the solutions are not only advanced but also capable of adapting to the ever-changing demands of autonomous driving.

The implementation of the MLF strategy extends beyond theoretical benefits. Nullmax has demonstrated the practical advantages of this approach through rigorous testing and real-world deployments. AI-driven solutions have shown remarkable improvements in safety, efficiency, and reliability, paving the way for broader adoption of autonomous driving technologies.

At Nullmax, tackling challenges with machines rather than relying solely on manpower, the company believes that machines can process data faster and more reliably.

About Nullmax
Founded in 2016 in Silicon Valley, Nullmax is a pioneer in the automated driving industry, dedicated to developing autonomous driving solutions for all scenarios and accelerating the intelligent transformation of the mobility industry.

Contact:
Nullmax Media Center: media@nullmax.ai

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SOURCE Nullmax

Technology

Quote.com Announces New Senior Leadership Additions

Published

32 minutes ago

April 22, 2026

ST. PETERSBURG, Fla., April 22, 2026 /PRNewswire/ — Quote.com, a leading tech-enabled, omnichannel performance marketing organization, today announced the addition of two new executive team members to support the company’s continued growth and strategic expansion. Chase Nichols joins as Chief Marketing Officer and Ben Hochstetler as Senior Vice President of Marketing.

Quote.com announced the addition of two new executive team members, Chase Nichols and Ben Hochstetler.

The appointments strengthen Quote.com’s leadership team as the company continues to invest in execution, growth, and expanding its ability to help consumers access insurance solutions more easily and efficiently. “We are excited to welcome Chase and Ben to the Quote.com leadership team,” said Nick Stommes, Chief Executive Officer at Quote.com. “Both bring deep industry expertise, experienced execution capability, and a strong focus on operational excellence that will help accelerate our growth while improving how consumers access and compare insurance options. Their leadership will play a critical role at Quote.com as we continue scaling our platform and strengthening our partnerships.”

Chase Nichols joins Quote.com as Chief Marketing Officer; Chase is responsible for all performance marketing planning, organization, and execution, and is focused on driving efficient, measurable consumer touchpoints. With nearly two decades of experience in financial services and performance marketing environments, he brings a data-first approach to scaling growth while balancing brand development and direct-response marketing.

Ben Hochstetler joins as Senior Vice President of Marketing, leading digital marketing strategy and execution across Quote.com’s omnichannel performance marketing footprint. He brings more than 15 years of experience building and scaling performance marketing execution in highly competitive and regulated markets.

About Quote.com

Quote.com is a tech-enabled omnichannel performance marketing organization that delivers high-quality, mission-critical demand at scale to industry-leading partners. The company serves customers across multiple insurance verticals, including auto, home, life, and Medicare insurance. Quote.com provides significant value to consumers by providing an independent, third-party comparison-shopping experience.

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SOURCE Quote.com

Technology

Young Voices Across Oceans: Telling China’s Story Fiji Special Showcases GDI Achievements

Published

32 minutes ago

April 22, 2026

SHENZHEN, China, April 22, 2026 /PRNewswire/ — This year marks the 5th anniversary of the Global Development Initiative (GDI). Shenzhen Media Group’s “Telling China’s Story” program presents a special Fiji season, taking the perspective of young Chinese people to the Pacific island nation of Fiji. It documents the implementation of numerous cooperative projects which are smaller in scale but well-designed, showcasing the heartwarming stories and broad prospects of China and Fiji working together to promote common development and share the fruits of cooperation, vividly illustrating the practical achievements of the GDI.

The program will air from April 20th to 22nd, 2026. The first episode features Chinese actor Zhao Xiaotong, food blogger Yang Beichuan, and Wu Dongwei, a doctoral student at China Agricultural University, who visit the China-Fiji Juncao Technology Demonstration Center in Nadi, Fiji, to explore how this “Happiness Juncao” from China has taken root and grown in the South Pacific island nation, benefiting people’s livelihoods.

This “Happiness Juncao” has yielded “win-win results” in Fiji, bringing tangible changes to local families. Internet technology engineer Ashmir not only gained a stable income by learning Juncao (a type of grass cultivation) to grow mushrooms, but also successfully paid off his car loan.

During this filming, a “Mushroom Team” of young Chinese people joined Ashmir in a Fijian market to promote mushroom dishes and introduce locals to various new ways to enjoy mushrooms. The humble mushroom became a bond of friendship across mountains and seas, conveying the warm sentiments of mutual understanding between the Chinese and Fijian people amidst the bustling market atmosphere.

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SOURCE Shenzhen Media Group

Technology

Laminar Wins Gold 2026 Edison Award for Physical AI that Powers the Self-Driving Factory

Published

32 minutes ago

April 22, 2026

Top honor recognizes Laminar’s innovation and transformation in the CPG manufacturing industry

BOSTON, April 22, 2026 /CNW/ — Laminar, a physical AI solution helping the world’s leading manufacturers run more productive and sustainable factories, announced that it received a Gold 2026 Edison Award in the Manufacturing & Logistics category. The award recognizes Laminar for enabling food and beverage manufacturers to unlock new levels of productivity and sustainability through innovation – running faster production lines while cutting water, chemicals, and downtime.

“Laminar is leading the way CPG manufacturers implement physical AI on the factory floor with first-of-their-kind self-driving processes,” said Annie Lu, Laminar Chief Executive Officer and Co-Founder. “Our patented spectral sensors and complete library of ML models enable a new, transformative approach to closed-loop automation, making the goal of the self-driving factory achievable today. We are honored the Edison Awards recognized our commitment to building a new category of technology and reshaping the future of manufacturing.”

Laminar’s physical AI transforms operations by enabling CPG manufacturers to transition from manual, timer-based operations to self-driving. Deployed across six continents for Coca-Cola, AB InBev, Danone, and Unilever, Laminar delivers measurable sustainability and profitability gains from the same investment. Laminar’s self-driving processes include:

Self-Driving Clean-in-Place Self-Driving Product Changeover Self-Driving Batch Optimization Self-Driving Quality ControlAnd more

The Edison Awards, established in 1987 and named in honor of inventor Thomas Edison, celebrates game-changing innovation across industries worldwide. Drawing a global community of innovators across 60+ countries, the Edison Awards elevate solutions that reimagine our future.

Recognition for Laminar’s Innovation

Headquartered at Greentown Labs in Somerville, MA – North America’s leading cleantech incubator – Laminar is a woman-founded startup backed by top-tier investors, including Greycroft, Construct Capital, 2048 Ventures, and Flybridge Capital.

Recognized for its innovation and impact, Laminar received AB InBev’s 2024 Cheers Award for outstanding startup partnership and was named Unilever’s 2023 Supplier Startup of the Year. Laminar’s solution is also deployed in World Economic Forum Lighthouse factories recognized for their leadership in cutting-edge technology.

About Laminar

Laminar’s physical AI helps the world’s leading manufacturers run self-driving factories with more sustainable, efficient operations. Our patented spectral sensors and complete library of ML models transform manual operations into self-driving processes that cut water, chemicals, and downtime in real-time. Deployed in factories across six continents and trusted by global leaders like AB InBev, Coca-Cola, and Unilever, Laminar is building a new category of physical AI that will power the future of process manufacturing. Learn more at runlaminar.com

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SOURCE Laminar