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Category: robotics/AI – Page 812

Apple’s $1 billion standoff against AI-rivals Microsoft, Google, OpenAI

No AI announcements expected at Apple event on Monday.

Apple is reportedly spending a billion dollars a year in a major push for artificial intelligence. Over the last year, the AI boom has seen many of its tech adversaries investing millions and billions of dollars into large language models (LLMs) and conversational platforms.

Although the iPhone maker is hush about what is cooking in its AI laboratory, Interesting Engineering reported earlier that the company may be looking to revamp Siri with generative AI capabilities. Much like how OpenAI’s ChatGPT (Plus and Enterprise) can now generate content from voice commands, iPhone users could use Siri similarly.

UBC, Honda researchers develop robot arm with human skin-like sensors

“As sensors continue to evolve to be more skin-like, there is a need for robots to be smarter. Developments in sensors and artificial intelligence will need to go hand in hand”

Scientists at the University of British Columbia and Honda’s research institute have revealed the creation of a revolutionary soft sensor that mimics human skin in a press release. This highly sensitive, smart, and stretchable sensor is poised to reshape how machines interact with the world.

Offering a myriad of applications, the soft sensor takes cues from human skin in terms of both sensitivity and texture. It can make actions such as picking up a piece of soft fruit possible when applied to the surface of a prosthetic or robotic arm.

AI-ready architecture doubles power with FeFETs

Hussam Amrouch has developed an AI-ready architecture that is twice as powerful as comparable in-memory computing approaches. As reported in the journal Nature Communications (“First demonstration of in-memory computing crossbar using multi-level Cell FeFET”), the professor at the Technical University of Munich (TUM) applies a new computational paradigm using special circuits known as ferroelectric field effect transistors (FeFETs). Within a few years, this could prove useful for generative AI, deep learning algorithms and robotic applications.

  • The new architecture enables both data storage and calculations to be carried out on the same transistors, boosting efficiency and reducing heat.
  • The chip performs at 885 TOPS/W, significantly outperforming current CMOS chips which operate in the range of 10–20 TOPS/W, making it ideal for applications like real-time drone calculations, generative AI, and deep learning algorithms.

    • Pigeons problem-solve similarly to artificial intelligence, research shows

    I think crows are probably smarter. But we probably arent up to being able to reverse engineer brains of crows. Maybe just playing around at it.

    Present list i believe is: 1. lab mice; 2. lab rats; 3. crows; 4. octopi; 5. pigs; 6. chimps; ending on the human brain.

    The intelligent birds, thought to be a nuisance by some, learn from consequences and can recognize resemblance between objects.

    Scientists Explain What Actually Happens When You Die

    https://youtu.be/NCZc-zPsciU?si=E3cQDFZo4RbPahW1

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