Date: 17-05-2024
AI EXPLORER
Greetings of the day!
Friday, 17th May

Welcome to AI EXPLORER
AI Explore is a newsletter dedicated to keeping readers informed about the latest developments in artificial intelligence. From breakthroughs in machine learning to advancements in robotics, AI Explore provides a comprehensive overview of the rapidly evolving field of AI. Whether you are a seasoned AI professional or simply curious about the future of technology, AI Explore delivers insightful and engaging content straight to your inbox. Stay ahead of the curve with AI Explore.
History of Development:
On May 17th in AI history, notable milestones include advancements in neural networks, significant research publications, and key AI conference events, marking progress in artificial intelligence development and innovation.
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aks@kamaliyagroup.in

AI News
The Value of AI/ML in Security Environments: Getting Beyond the Hype
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Startup Gatik Lands Partnership – And $30 Million – From Isuzu To Scale Up Robot Trucks
Gatik, a Silicon Valley-based autonomous driving startup with dozens of vehicles in commercial operation, announced a first-of-its-kind partnership with Isuzu to develop purpose-built robotic commercial vehicles. Alongside this partnership, Isuzu is making a $30 million equity investment in Gatik. The next-generation trucks, set for production in 2027, will be built at a new Isuzu factory and will integrate Gatik’s autonomous technology, according to CEO and cofounder Gautam Narang.
Isuzu’s investment increases Gatik’s total funding to over $200 million. The trucks will feature Level-4 autonomous capability, meaning they will have sufficient sensor, software, and computing power to operate without a human driver.
“This is the first time, as far as we know, that a truck manufacturer has committed to mass production of Level-4 autonomous trucks,” Narang said. “We think it validates our technology, the use case, and the economics. It positions Gatik for significant scale across the $250 billion middle mile market in North America.”
Rather than developing robotaxis to compete with Alphabet’s Waymo, Gatik focuses on the niche of hauling commercial loads on fixed routes between warehouses and large supermarkets and big box stores. Their clients include Walmart, Kroger, Tyson Foods, Georgia Pacific, Pitney Bowes, and Canada’s Loblaw supermarket chain. Gatik’s fleet of 70 medium-duty trucks, many modified Isuzus, typically operates on city streets at speeds of up to 45 mph without a safety driver, though they have started operating on highways at speeds up to 65 mph with a human backup driver for now.
Gatik’s revenue is growing, though Narang declined to provide specifics. He expects the new Isuzu deal to result in hundreds of vehicles in commercial operation and aims for profitability later this decade. “We will have first access to the vehicles coming off this Isuzu production line,” he said.
This partnership is notable amidst the challenges faced by other autonomous vehicle companies. Recent years have seen the collapse of companies like TuSimple and Embark, staff cuts at Nuro, and industry leader Waymo shelving its robot truck program. Gatik’s ability to secure five-year commitments from customers and commercialize its technology with Isuzu distinguishes it from many competitors.
Thank you,
AI Explorer Team – Kamaliya Group
The Information Launches Generative AI Database Amid Surge in Funding
As the excitement surrounding generative artificial intelligence reaches new heights, The Information has unveiled a comprehensive database featuring over 150 companies at the forefront of developing software and services utilizing generative AI technology. With investors clamoring to partake in this burgeoning sector, the startups listed in the database have collectively amassed an impressive $24 billion in funding.
Drawing from a myriad of sources including proprietary reporting, insights from founders and investors, and data from PitchBook, a leading provider of private market information, The Information’s database promises to be a valuable resource for tracking the evolution and growth of generative AI companies. Regular updates will ensure that the database remains current, offering insights into emerging players and their trajectories.
In a notable trend, funding to generative AI companies experienced a surge in the first quarter, with a notable shift towards applications. This underscores the growing interest and investment in leveraging generative AI across diverse industries and use cases.
Furthermore, the impact of artificial intelligence extends beyond generative AI, as evidenced by record spending on cloud services. To delve deeper into the intersection of AI and cloud computing, readers can explore The Information’s Cloud Database [here](insert link), offering insights into this rapidly evolving landscape.
AI Explorer Team – Kamaliya Group
IBM and Tech Mahindra Forge Partnership to Propel Trustworthy Generative AI Adoption
Tech Mahindra, a global leader in technology consulting and digital solutions, has joined forces with IBM to usher in a new era of trustworthy artificial intelligence with watsonx. This collaboration aims to accelerate the sustainable adoption of generative AI across organizations worldwide.
Combining Tech Mahindra’s expertise in AI consulting and engineering with IBM’s watsonx AI and data platform, customers now have access to a comprehensive suite of generative AI services, frameworks, and solution architectures. These offerings empower organizations to leverage their trusted data for automating processes, building trustworthy AI models, and promoting explainability to mitigate risks and biases.
Kunal Purohit, Chief Digital Services Officer at Tech Mahindra, highlights the importance of responsible AI practices and the transformative potential of generative AI technologies. Purohit emphasizes that their collaboration with IBM will drive digital transformation, modernization, and business growth for global customers.
To further bolster AI capabilities, Tech Mahindra has established a virtual watsonx Centre of Excellence (CoE), facilitating co-innovation and synergy between the two companies. This CoE serves as a hub for developing unique AI-driven solutions tailored to enterprise needs.
Kate Woolley, GM of IBM Ecosystem, underscores the collaboration’s significance in driving innovation and market opportunities through generative AI built on principles of explainability, transparency, and trust. Woolley anticipates that the partnership with Tech Mahindra will expand the reach of watsonx, enabling more customers to build trustworthy AI solutions across various use cases.
The partnership aligns with Tech Mahindra’s commitment to transforming enterprises with advanced AI-led offerings, including recent additions such as Vision amplifAIer, Ops amplifAIer, and Generative AI Studio. Notably, this collaboration follows previous initiatives, including the establishment of a Synergy Lounge on Tech Mahindra’s Singapore campus, aimed at accelerating digital adoption in the APAC region.
Beyond Tech Mahindra, IBM watsonx has been instrumental in collaborations to accelerate generative AI deployment. Earlier this year, the GSMA and IBM announced a partnership to support generative AI capabilities in the telecom industry through training programs and initiatives like GSMA Foundry Generative AI program.
This collaborative effort underscores the commitment of both companies to advancing trustworthy AI adoption, paving the way for innovative solutions that drive business efficiency and productivity responsibly.
*AI Explorer Team – Kamaliya Group*
AI Accelerates Drug Discovery with Deep Learning
In a significant breakthrough, researchers have utilized deep learning algorithms to expedite the drug discovery process. Traditional drug discovery is a time-consuming and costly endeavor, often taking years and billions of dollars to bring a new drug to market. However, advancements in AI, particularly deep learning, are revolutionizing this process by analyzing vast amounts of data and predicting the efficacy of potential drug candidates.
By training deep learning models on large datasets of molecular structures, biological interactions, and clinical trial data, researchers can identify promising compounds with higher accuracy and efficiency. This approach not only speeds up the drug discovery timeline but also reduces costs, making innovative treatments more accessible.
The application of AI in drug discovery holds tremendous promise for addressing pressing healthcare challenges, including the development of novel therapies for cancer, infectious diseases, and rare disorders. As researchers continue to refine AI algorithms and leverage emerging technologies, the future of drug discovery looks increasingly promising.
Stay tuned for more updates on how AI is transforming healthcare and revolutionizing the pharmaceutical industry!
AI Explorer Team – Kamaliya Group
Latest AI TOOLS - Dated: May 17, 24
Name of tool | URL/Link | Purpose/Use |
ThriveStack v0.1 | ThriveStack v0.1 | Designed for the product-led era, ThriveStack offers self-service infrastructure solutions tailored to modern businesses. With its scalable and user-friendly platform, companies can deploy and manage their products with ease. |
Blocks | Blocks | This tool transforms any process into a step-by-step guide, streamlining workflows and enhancing productivity. With Glitter AI, users can automate repetitive tasks and create intuitive guides for seamless execution. |
Glitter AI | Glitter AI | his tool transforms any process into a step-by-step guide, streamlining workflows and enhancing productivity. With Glitter AI, users can automate repetitive tasks and create intuitive guides for seamless execution. |
Warmy.io | Warmy.io | Enhance email deliverability and engagement with Warmy.io’s AI-driven algorithm. By analyzing recipient behavior and content preferences, Warmy.io optimizes email campaigns for maximum impact and effectiveness. |
Middleware | Middleware | Developed as open-source DORA metrics for software engineering teams, Middleware offers valuable insights into development processes and performance. By tracking key metrics and benchmarks, teams can identify areas for improvement and enhance productivity. |
TopicRanker | TopicRanker | Empowering content creators with valuable insights, TopicRanker identifies easy-to-rank keywords based on weaknesses in search engine results pages (SERPs). By targeting strategic keywords, businesses can improve their online visibility and drive organic traffic. |
Stockle 2.0 | Stockle 2.0 | Revolutionizing investment management, Stockle 2.0 provides a modern platform for connecting investors and analyzing market trends. Its AI-driven insights empower users to make informed investment decisions and optimize their portfolios. |
AI TRENDS, TECHNIQUES, AND REVOLUTIONS
Safeguarding Personal Security in the Age of Generative AI
As advancements in generative AI technologies like ChatGPT, Midjourney, Bing, and Bard accelerate, concerns about digital security and privacy have become more prevalent. Individuals often find themselves overwhelmed by the rapid development of digital technology systems, leading to a surge in anxiety-laden questions about personal security.
Common Concerns in the Age of AI:
1. Is my phone hacked?
– With increasing sophistication in cyber-attacks, it’s crucial to use robust security measures like two-factor authentication and updated antivirus software to protect your devices.
2. How do I know if somebody is spying on me?
– Be vigilant about unusual activity on your accounts, such as unexpected password changes or login attempts from unfamiliar locations. Use privacy settings and security apps to monitor and control access.
3. How do I trust a message from a bank or my phone company?
– Verify the sender’s authenticity by contacting the institution directly using official contact information. Avoid clicking on suspicious links and never share personal information without confirmation.
4. Can somebody leak my pictures from my personal account?
– Strengthen your account security with strong, unique passwords and enable privacy settings to control who can view and access your content.
5. Is this person I met on a dating site real?
– Verify identities by conducting video calls and checking social media profiles. Be cautious of sharing personal information too quickly and watch for red flags like inconsistent stories or requests for money.
6. My friend sent me this information with a link but it doesn’t seem right.
– Avoid clicking on unverified links. Confirm the legitimacy of the information by cross-referencing it with reliable sources or directly asking your friend for more context.
7. I just got locked out of my laptop because my security app is not recognizing my face!
– Keep an alternate method for logging in, such as a PIN or password. Regularly update your security apps to ensure compatibility with your device.
8. I am worried that my partner is being radicalized into extremist behavior without him knowing it.
– Encourage open dialogue and provide access to diverse perspectives. Report any concerning online behavior to appropriate authorities or support organizations.
9. My company is restructuring. Am I going to be replaced by an algorithm
– Stay informed about industry trends and continuously upgrade your skills. Adaptability and learning new technologies can increase your value in the job market.
10. Is it safe for me to voice my dissent to a populist movement, or will I be targeted and prosecuted for it?
– Use secure communication channels and platforms that protect user anonymity. Be aware of the local laws and regulations regarding free speech and digital activism.
11. I saw a picture of me being shared that is fake. How do I stop that?
– Report the fake content to the platform hosting it and use tools like reverse image search to track its origin. Engage legal assistance if necessary to protect your image rights.
Proactive Measures for Digital Safety:
– Regular Updates: Keep all software and devices updated to protect against vulnerabilities.
– Education: Stay informed about the latest digital threats and security best practices.
– Privacy Tools: Utilize VPNs, encrypted messaging apps, and privacy-focused browsers to enhance your online security.
– Community Support: Join online communities and forums to share experiences and solutions related to digital security.
As generative AI continues to evolve, it is essential to balance its benefits with robust security practices to protect individual privacy and maintain trust in the digital world.
Designing Intelligence: A Multidisciplinary Exploration
Abstract:
In this research paper, we explore the concept of design as intelligence made visible, extending its application beyond traditional realms to encompass writing, software engineering, and life itself. Drawing inspiration from Louis Danziger’s definition of design, we delve into the interconnectedness of design principles and their relevance across various domains. Additionally, we examine recent advancements in artificial intelligence (AI), including OpenAI’s Chat GPT-4o, a bot with enhanced speech capabilities, and their implications for app development. Furthermore, we discuss a new study on the H5N1 avian flu outbreak and provide insights into life with Long Covid, underscoring the multifaceted nature of intelligence and design.
Introduction:
The concept of design as intelligence made visible encapsulates the idea that thoughtful creation reflects underlying intelligence. This principle resonates not only in traditional design disciplines but also in writing, software engineering, and everyday interactions. By exploring the fundamental principles of design and their applicability across diverse domains, we gain a deeper understanding of the interconnectedness of intelligence and creativity.
Design Principles Across Domains:
We begin by examining Taras Bakusevych’s “58 rules for beautiful UI design,” which outlines principles rooted in empathy, layout, essentialism, guidance, aesthetics, novelty, consistency, and engagement. While originally formulated for UI design, these principles can be extrapolated to writing, software engineering, and life itself. For instance, empathy in design translates to understanding the audience in writing, anticipating user needs in software engineering, and fostering meaningful connections in interpersonal relationships.
Implications of AI Advancements:
Recent developments in AI, exemplified by OpenAI’s Chat GPT-4o, signify a convergence of design and intelligence in technology. The bot’s enhanced speech capabilities reflect advancements in natural language processing and human-like interaction. Beyond its immediate utility, Chat GPT-4o heralds broader implications for app development, promising smarter, faster, and more efficient solutions.
Insights from Scientific Studies:
The discussion extends to scientific studies, including research on the H5N1 avian flu outbreak and the prevalence of Long Covid. Insights from vaccine scientist Chris Buck underscore the complexity of viral transmission, highlighting the importance of interdisciplinary approaches in combating infectious diseases. Similarly, firsthand accounts of Long Covid shed light on the enduring impact of the pandemic, emphasizing the need for empathy and resilience in navigating health challenges.
Conclusion:
In conclusion, the concept of design as intelligence made visible serves as a unifying framework for understanding creativity, problem-solving, and human interaction. By applying design principles across domains and embracing technological advancements with discernment, we can harness the power of intelligence to address complex challenges and cultivate a more inclusive and sustainable future.