Another Crazy Day in AI 55/109

Another Crazy Day in AI: A Look at the Possibilities of Quantum AI

Mar 14, 2025
4 min read

Hello, AI Enthusiasts.

Another week down, and AI has been busy. Let’s take a look at what’s been happening before we wind down.

Quantum AI promises to revolutionize computing by tackling problems beyond the reach of classical systems. But is it all hype, or are we on the verge of a true breakthrough?

AI is cutting through procurement headaches. From streamlining vendor selection to predicting IT needs, AI-driven platforms are speeding up decision-making.

DocuSign’s AI-fueled growth. Strong earnings and strategic partnerships with Microsoft and Google show how AI-powered workflows are driving success.

AI doesn’t take weekends, but you should. Catch you next week!

Here's another crazy day in AI:

How quantum computing might supercharge AI
The role of AI in solving IT procurement pain points
DocuSign stock jumps 14% as AI-driven growth takes off
Some AI tools to try out

TODAY'S FEATURED ITEM: The Future of AI Might Be Quantum

A robotic scientist in a classic white coat with 'AI Scientist' on its back stands beside a human scientist with 'Human Scientist' on their coat, looking towards the AI Scientist.

Image Credit: Wowza (created with Ideogram)

Have you ever wondered what happens when we combine two of the most powerful technologies of our time?

Artificial intelligence is already transforming the way we work and interact with technology. But what if AI could become even faster, more powerful, and capable of solving problems that today’s computers simply can’t handle? That’s where quantum computing comes in. In this insightful piece, Barbara Pazur, tech writer at CNET, breaks down what quantum AI is, how it works, and why it’s generating both excitement and skepticism.

What You Need to Know

The basics of quantum AI – By combining AI with quantum mechanics, researchers are exploring ways to process information at unprecedented speeds.
Why quantum computers are different – Unlike traditional computers that process data in a binary way (ones and zeros), quantum computers use qubits, which can exist in multiple states simultaneously. This allows them to solve certain types of problems much faster.
Potential benefits – Quantum AI could be a game-changer for industries that rely on massive amounts of data, such as healthcare, finance, and logistics. It could help optimize complex systems, improve drug discovery, and even enhance encryption for cybersecurity.
Challenges ahead – The technology is still in its early stages. Quantum computers require highly controlled environments and aren’t yet practical for widespread use.
The road to real-world applications – Major tech companies, including Google, IBM, and Amazon, are making significant investments in quantum AI, but it may take years before we see its full impact.

The idea of quantum AI is intriguing, but it’s important to recognize that much of it remains theoretical. While researchers have demonstrated promising advancements, the technology still faces hurdles in terms of scalability, reliability, and cost. The path to practical quantum computing isn’t a straight line, and breakthroughs will take time.

That being said, the progress being made today could shape the future of AI in ways we can’t yet fully predict. As researchers continue to refine the technology, we may eventually see quantum AI unlock solutions to problems that were previously considered unsolvable. It’s an area worth watching—not just for those in tech, but for anyone interested in where innovation is headed next.

Read the full article here.

Watch the video here.

OTHER INTERESTING AI HIGHLIGHTS:

The Role of AI in Solving IT Procurement Pain Points

/IDC Analyst Series

As AI transforms industries, procurement remains a major challenge for tech leaders, with complex contracts, slow approval processes, and inefficient vendor selection slowing innovation. In response, AI-driven procurement platforms are streamlining sourcing, automating approvals, and enhancing risk management, allowing companies to cut decision times from months to weeks. From improving data accuracy to forecasting IT needs, AI is reshaping procurement into a strategic advantage, ensuring businesses keep pace with fast-changing market conditions.

Read more here.

DocuSign Stock Jumps 14% as AI-Driven Growth Takes Off

/Laya Neelakandan, CNBC

DocuSign's stock surged 14% following a strong earnings report, fueled by its AI-driven platform, DocuSign IAM. CEO Allan Thygesen highlighted the company’s strategic partnerships with Microsoft and Google, reinforcing its commitment to AI-powered agreement management. With AI unlocking valuable insights and streamlining workflows, DocuSign expects its AI-enhanced solutions to contribute significantly to revenue growth in the coming year. Despite market uncertainties, demand for digital agreements remains strong, positioning DocuSign for continued success.

Read more here.

SOME AI TOOLS TO TRY OUT:

BundleIQ - Instantly search documents for answers and insights, for research or chatbots.
Zeda - Turns customer feedback into actionable insights for better product management.
Crunchbase - Tracks private company data and predicts future opportunities before your competitors.

That’s a wrap on today’s Almost Daily craziness.

Catch us almost every day—almost! 😉

EXCITING NEWS:

The Another Crazy Day in AI newsletter is on LinkedIn!!!

Leveraging AI for Enhanced Content: As part of our commitment to exploring new technologies, we used AI to help curate and refine our newsletters. This enriches our content and keeps us at the forefront of digital innovation, ensuring you stay informed with the latest trends and developments.

Another Crazy Day in AI: How Machines Are Helping Us Decode Speech—Even Beyond Humans

Mar 13, 2025
4 min read

Hello, AI Enthusiasts.

Weekend mode: almost loading… but AI’s still on full throttle!

AI just took a deep dive into non-human communication. A UC Berkeley professor is using machine learning to analyze the sounds of spiders, elephants, bees, and whales—expanding our understanding of language itself.

Meanwhile, an Embry‑Riddle student used AI-driven simulations to test traffic system vulnerabilities—a project so impressive it won a major U.S. Department of Transportation award.

And just when we thought Gemini 2.0 Flash was all about generating images, an AI educator discovered it can do so much more. Turns out, the model can edit existing images, follow natural language instructions, and generate multiple outputs at once.

Now, if only it could speed up the weekend... 😴

Here's another crazy day in AI:

How AI is changing linguistics—and who studies it
A student wins award for AI research on traffic system hacking
AI expert tests Gemini 2.0 Flash’s revolutionary image editing capabilities
Some AI tools to try out

TODAY'S FEATURED ITEM: Exploring Language Beyond Humans

Image Credit: Wowza (created with Canva)

How are animals and AI learning to "speak" our language?

Linguistics used to be a quiet corner of academia, mostly concerned with ancient and human languages. But today, it's at the crossroads of some of the most exciting research in AI, biology, and even law. In UC Berkeley's "101 in 101" video series, linguistics professor Gašper Beguš takes on the challenge of explaining his field in just 101 seconds. His work explores how AI models, designed to mimic human speech development, can give us deeper insight into how we acquire language. But it doesn't stop there—these same tools are now being used to study how animals like elephants, bees, and even jumping spiders communicate.

In the video, produced by Sean Patrick Farrell (Video Director for Public Affairs and Communications at UC Berkeley), Beguš reflects on how linguistics has evolved from his early career studying ancient languages—when "nobody cared about linguistics"—to becoming central to multiple scientific disciplines. His work represents a fascinating bridge between human language, artificial intelligence, and animal communication.

Throughout the video, he shares several compelling insights:

His lab uses AI that learns to mimic sounds similar to how human infants acquire language.
Many fundamental questions about language acquisition remain unanswered despite centuries of study.
Linguistic tools are now being applied to decode communication in sperm whales, elephants, and jumping spiders.
Researchers from machine learning, biology, and law increasingly seek linguistic expertise.
The field provides powerful analytical methods for finding patterns across different forms of communication.

For a long time, linguistics was mostly about studying human speech—how we form words, structure sentences, and create meaning. But as AI gets better at replicating how we learn to communicate, researchers are uncovering parallels between machine learning and natural language development. If AI can model the way babies pick up speech, it could help explain why our brains are wired for language in the first place.

At the same time, the idea that language is uniquely human is being challenged. Scientists are now using AI to analyze the ways animals communicate, searching for patterns that could indicate more complex forms of expression than we once thought possible. Whether it’s the deep rumbles of elephants, the waggle dances of bees, or even the vibrations of tiny jumping spiders, these studies are expanding our understanding of what it means to "speak"—and who, or what, might be capable of it.

Read the full story here.

Watch the video here.

OTHER INTERESTING AI HIGHLIGHTS:

A Student Wins Award for AI Research on Traffic System Hacking

/Melanie Azam on Embry‑Riddle Aeronautical University News

What happens if a city’s traffic control system is hacked? Embry-Riddle student Marc Jacquet applied AI-driven simulations to find out, earning him a prestigious U.S. Department of Transportation award. His research modeled a hackable digital map of Daytona Beach’s busiest intersections, revealing how changes to traffic light patterns could disrupt entire road networks, delay emergency services, and cause major congestion. As cities become increasingly connected and dependent on AI, Jacquet’s work highlights the critical need for cybersecurity in smart transportation systems.

Read more here.

AI Expert Tests Gemini 2.0 Flash’s Revolutionary Image Editing Capabilities

/Paul Couvert (@itsPaulAi) on X

AI Educator and No-Code Builder Paul Couvert recently put Google’s Gemini 2.0 Flash to the test, and the results were impressive. He found that the model not only generates highly detailed images but also edits existing ones with simple natural language commands. Unlike traditional AI image generators, Gemini 2.0 Flash incorporates world knowledge to create more accurate and contextually relevant visuals. Best of all, it's free to use in Google AI Studio, making it a powerful tool for creators and educators alike.

Read more here.

SOME AI TOOLS TO TRY OUT:

Anystory - AI assistance for writing books, blogs, or theses.
Harvey - AI built for law firms, service providers, and Fortune 500s.
Wispr Flow - Smooth voice dictation for professionals.

That’s a wrap on today’s Almost Daily craziness.

Catch us almost every day—almost! 😉

EXCITING NEWS:

The Another Crazy Day in AI newsletter is on LinkedIn!!!

Another Crazy Day in AI: A Giant Leap for Robots? Google DeepMind Thinks So

Mar 12, 2025
4 min read

Updated: Mar 12, 2025

Hello, AI Enthusiasts.

Midweek madness? AI has some news to add to the mix.

AI is stepping off the screen and into the real world. Google DeepMind just introduced Gemini Robotics, a next-gen AI built to control robots with more adaptability and dexterity.

Meanwhile, businesses are hyping AI agents, but deploying them? That’s another story. Even tech leaders are scratching their heads.

Microsoft isn’t waiting around, though. Their new Responses API and CUA in Azure AI Foundry are stepping up automation—might just take over tedious workflows faster than expected.

AI doesn’t need a coffee break, but we do. See you next time!

Here's another crazy day in AI:

How Gemini 2.0 is transforming robotics
Tech leaders face roadblocks in AI Agent development
Azure AI Foundry introduces Responses API and AI-Powered CUA
Some AI tools to try out

TODAY'S FEATURED ITEM: Robots That See, Think, and Do

Image Credit: Google DeepMind

What happens when robots don’t just follow instructions but truly understand the world around them?

Google DeepMind’s Gemini Robotics is taking a major step toward making this a reality. In a new research update, Carolina Parada, Senior Director and Head of Robotics at Google DeepMind, introduces two new AI models built on Gemini 2.0 that bring "embodied reasoning" to robots—allowing them to see, understand, and act in the real world with greater flexibility, interactivity, and dexterity. With partnerships in place, including a collaboration with Apptronik for humanoid robots, this could mark the next leap in robotic intelligence.

Advancements in Robotics Intelligence

A two-part system for smarter robots
- Gemini Robotics – Integrates vision, language, and physical actions to directly control various types of robots.
- Gemini Robotics-ER – Enhances spatial understanding, allowing roboticists to apply Gemini’s reasoning to more complex environments.
Robots that learn and adapt – These models move beyond rigid programming, enabling robots to assess situations, refine actions over time, and handle unfamiliar tasks without specific training.
More intuitive communication – Robots can process natural conversation, understand multiple languages, and respond dynamically to verbal and visual cues.
Precision and dexterity – The technology enables fine motor control, allowing robots to complete intricate tasks like folding origami.
Versatility across different robot types – A single system powers a range of robots, from lab-based robotic arms to full humanoid forms.

Implications and Considerations

Expanding real-world applications – From automating warehouse logistics to assisting in healthcare and homes, these robots could become more integrated into daily life.
Ethical and safety concerns – Built-in safeguards, including an approach inspired by Asimov’s Laws of Robotics, aim to ensure responsible development as autonomy increases.
Redefining human-robot interaction – With greater autonomy, robots could shift from passive tools to active decision-makers, raising questions about their role in society.
Performance gains and future potential – Early results show a 2-3x improvement over previous models, hinting at even more capabilities on the horizon.

As robots gain the ability to interpret and respond to the world in more dynamic ways, the implications go beyond technological progress. What happens when machines make decisions based on context rather than rigid programming? Industries that rely on automation could see major shifts, but so could the way humans interact with AI in daily life. The potential is vast, but so are the questions it raises.

With greater autonomy comes the need for deeper discussions. How do we set boundaries for machines that learn and adapt? What safeguards ensure they complement rather than replace human decision-making? Who determines the limits of autonomous systems, and how do we align them with human values?

As research advances, the challenge will be balancing innovation with responsibility. Robotics may be evolving rapidly, but shaping their impact remains a human decision.

Read the full article here.

Read the full paper here.

OTHER INTERESTING AI HIGHLIGHTS:

Tech Leaders Face Roadblocks in AI Agent Development

/Makenzie Holland, Senior News Writer on TechTarget

Despite the hype around AI agents, tech leaders are struggling to define, integrate, and scale them within their businesses. At the Gartner Tech Growth and Innovation Conference, experts highlighted that while AI agents hold enormous potential for automation and decision-making, companies are still grappling with the technical, regulatory, and organizational challenges that come with adoption. OpenAI’s latest tools aim to simplify the process, but business leaders remain cautious, seeking clearer frameworks and real-world case studies before fully committing. As agentic AI continues to evolve, the gap between expectations and practical implementation remains a major hurdle for enterprises.

Read more here.

Azure AI Foundry Introduces Responses API and AI-Powered CUA

/Steve Sweetman, Azure OpenAI Service Product Lead on Microsoft blogs

Microsoft is revolutionizing AI-driven automation with two major advancements: the Responses API and the Computer-Using Agent (CUA) in Azure AI Foundry. These tools are designed to enhance AI agents by improving decision-making, task execution, and real-time software interactions. The Responses API enables AI systems to retrieve and process data efficiently, while CUA brings AI automation to software interfaces, allowing businesses to streamline workflows without traditional API dependencies. As AI agents gain more autonomy, Microsoft emphasizes security and human oversight to ensure responsible adoption. With these innovations, Azure AI is positioning itself as a leader in AI-powered enterprise automation.

Read more here.

SOME AI TOOLS TO TRY OUT:

Icon - AI Admaker that creates winning ads in minutes.
Equals - A spreadsheet with built-in data analysis and automation.
MindPal - Build AI multi-agent workflows to automate any task.

That’s a wrap on today’s Almost Daily craziness.

Catch us almost every day—almost! 😉

EXCITING NEWS:

The Another Crazy Day in AI newsletter is on LinkedIn!!!