BRN Discussion Ongoing

[Fullmoonfever]

Interesting little Indian Advisory.

Nothing special but just interesting as they are blogging on neuromorphic with BRN as the spotlight startup a few days ago and one of the staff listed on their LinkedIn also currently works for TCS as well for the past 12 yrs.

Exploring Untapped High-Tech Niches with Disruptive Potential - Atticus Advisors

In the ever-evolving world of startups, founders are always on the hunt for the next big thing. While artificial intelligence (AI) continues to dominate headlines, there are lesser-known high-tech niches that hold significant potential for innovation and disruption. For founders and co-founders...

www.atticusadvisors.co.in

They also have a sister company Atticus Healthcare.

Beyond the Buzz: 3 Underrated Tech Niches Ripe for Startup Disruption​

Atticus Advisors

Atticus Advisors​

Consulting | Strategy | Analytics​

Published Apr 17, 2025
+ Follow
While AI makes headlines, real startup success is often hidden in underappreciated but high-growth niches. The most brilliant founders aren't following trends—they're creating genuine value in industries eager for innovation. Below are three compelling, underpublicized niches where high-tech startups can make a huge difference.

1. Neuromorphic Engineering​

Neuromorphic engineering is a new frontier for developing hardware that replicates how the human brain works—hinging on huge potential for more efficient and sustainable AI.

Why it's disruptive:​

Decreases power consumption in AI systems, enabling edge AI to become more practical.
Facilitates real-time, low-power processing—perfect for wearables, IoT, and robotics.

Startup spotlight:​

BrainChip Holdings is at the forefront with its Akida chip, a neuromorphic SoC that runs on less than 1 milliwatt of power—vastly improving efficiency compared to conventional AI processors.

Opportunity:​

The industry is new, wide open to innovation, and closely tied to the expanding AI ecosystem.

2. Bioprinting​

Bioprinting employs 3D printing to stack living cells and generate functional tissue. This technology is set to revolutionize the way we deal with healthcare, drug testing, and even food production.

Market potential:​

Projected to hit $1.8 billion by 2027 (IDTechEx).
Fueled by need for organ transplants, cultured meat, and humane testing models.

Startup highlight:​

Organovo prints human tissue in 3D for drug testing—offering more accurate results than animal testing or 2D cell culture.

Disruption angle:​

Resolve organ donor shortage.
Create cruelty-free models for drug testing.
Address food sustainability with lab-grown food alternatives.

3. Urban Farming Technology​

Urban farming brings agriculture closer to cities through technology such as hydroponics, aeroponics, and vertical farming—revolutionizing the way cities will feed themselves.

Growth stats:​

Market worth $37.9B in 2023 with a CAGR of 13.2% from 2023 to 2030 (Grand View Research).

Startup spotlight:​

AeroFarms cultivates crops without soil or sunlight, utilizing aeroponic mist systems for quicker, more efficient growth.
Trella Technologies introduces robotics for horizontal plant training, optimizing indoor growth spaces.

Innovation frontiers:​

Combine IoT, AI, and automation for smarter farms.
Partner with local governments to utilize unused urban spaces.
Improve food security and reduce supply chain emissions.

Final Thoughts:​

These niches are ripe for disruption. If you’re building a startup, consider solving real problems in sectors like neuromorphic tech, bioprinting, or urban agriculture. The market may be quieter—but the impact potential is massive.


One of the employees

Adhiraj Sil
Assistant Consultant at TCS

https://in.linkedin.com/in/adhiraj-sil-096a14a4?trk=org-employees

• Associate - Partnerships​

  Atticus Advisors​

  Sep 2020 - Present 4 years 8 months
  Kolkata Area, India
  Engagement with the Atticus Advisors team as Associate - Partnerships for training and relationship development program across various domains(Undergrad,postgrad,corporate).
• 
  

  Tata Consultancy Services​

  12 years 7 months

  • AST​

    Apr 2020 - Present 5 years 1 month
    Kolkata Area, India

  • IT Analyst​

    Oct 2012 - Apr 2020 7 years 7 months

The other business Atticus Healthcare.

Atticus Healthcare | LinkedIn

Atticus Healthcare | 31 followers on LinkedIn. Healthcare. Research. Insights | At Atticus Healthcare, we are dedicated towards advancing healthcare through strategic and innovative Medical Affairs solutions. With a deep-rooted commitment to scientific excellence and patient-centricity, we...

in.linkedin.com

HealthcareAbout Us - Atticus Advisors

Atticus Healthcare advances medical solutions with a commitment to scientific excellence and patient-centricity, supporting pharma, biotech, and medical device companies in oncology, cancer management, vaccines, and critical care.

www.atticusadvisors.co.in

 

[Tothemoon24]

Click on the link below ;
Tata Elxsi certainly are not leaving any stone unturned when it comes to exploring Neuromorphic

Multimodal AI and Neuromorphic AI: Detection, Diagnosis, Prognosis - Tata Elxsi

Discover how Multimodal and Neuromorphic AI lead healthcare from reactive to proactive. This article delves into Responsible AI and its transformative impact.

ai.tataelxsi.com

 

[jtardif999]

Pro Bono (anti-Cher?)

‘Pro-boner’ for all those having radical prostatectomies

 

[7für7]

Wow the cockroaches try hard again

 

[Humble Genius]

And then there this..

The Next Frontier of AI: Key Insights from AMD’s Salil Raje​

Allyson Klein

March 18, 2025
While at Mobile World Congress (MWC) in Barcelona, I had the delightful opportunity to chat with Salil Raje, senior vice president and general manager of Adaptive and Embedded Group within AMD.
During our fireside chat, Salil shared some exciting insights about the future of AI at the edge—one of the most transformative trends in technology today.
Here are five key takeaways from Salil’s conversation at MWC.

1. AI at the Edge: A Paradigm Shift​

While AI’s rise in the cloud captured attention in 2024, Salil anticipates that things will shape up differently in 2025, with the real transformation lying at the edge.
“AI will be everywhere—from satellites to devices,” he said.
As AI moves closer to users and devices, it enables real-time data processing, reducing latency and improving decision-making. This shift is crucial for industries like healthcare and automotive, where speed and efficiency are vital.

2. The Power of Federated Learning​

Federated learning is a game-changing technology that powers edge AI. It allows devices to process data locally and send only necessary updates to the cloud, where the model weights are coalesced and then sent back to the edge. This minimizes data transfer and improves decision-making speed.

3. Revolutionizing the Automotive Industry​

In the automotive sector, AI at the edge is transforming not just autonomous driving, but also safety and driver experience. Salil mentioned AMD’s partnership with Subaru, which centers on reducing fatalities to zero by 2030. Through AI, Subaru’s safety systems are becoming more intelligent, processing real-time data for faster decision-making. Additionally, AI companions are enhancing the driving experience, personalizing interactions and improving safety.

4. AI in Healthcare: Beyond Diagnosis​

AI’s impact on healthcare is already irrefutable, but Salil highlighted how AI and robotics are taking things a step further. AI-driven exoskeletons, for example, are helping individuals who have lost a limb regain mobility and functionality, offering a new level of independence and improving their quality of life. AMD’s partnership with Hiroshima University utilizes AI to improve rates of early detection of cancer, while their partnership with Clarius aims to enhance diagnostics through advanced portable ultrasound imaging techniques. These innovations show how AI at the edge is improving not just diagnostics, but patient care in real time.

5. The Silicon Behind the Revolution​

To support AI at the edge, powerful, specialized hardware is essential. Unlike cloud AI, which relies on massive CPUs and GPUs, edge devices require more compact and efficient solutions. Salil highlighted AMD’s innovative hardware, such as the Versal AI Gen 2, which integrates CPUs, GPUs, and FPGAs into a single platform designed for edge workloads. This hardware helps industries efficiently process complex data while meeting size, power, and cost requirements.

What’s Next for AI at the Edge?​

The potential for AI at the edge is vast, but there are still hurdles to overcome. For example, Salil pointed out the need for faster adoption within telecom, a sector that has been slower to deploy AI.
So, what’s the TechArena take? In the coming years, more industries will embrace AI at the edge, enabling smarter systems and better, faster decision-making. As Salil put it, we’re on the brink of an “AI moment” that will reshape the way we interact with technology.

The Next Frontier of AI: Key Insights from AMD’s Salil Raje

At MWC, AMD SVP and GM Salil Raje shared how AI at the edge is revolutionizing industries, from healthcare to automotive, with real-time processing, federated learning, and adaptive silicon innovations.

www.techarena.ai

For a moment I though that was Turcinov earning her keep