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The first babies conceived with a sperm-injecting robot have been born

Last spring, engineers in Barcelona packed up the sperm-injecting robot they’d designed and sent it by DHL to New York City. They followed it to a clinic there, called New Hope Fertility Center, where they put the instrument back together, assembling a microscope, a mechanized needle, a tiny petri dish, and a laptop.

Then one of the engineers, with no real experience in fertility medicine, used a Sony PlayStation 5 controller to position a robotic needle. Eyeing a human egg through a camera, it then moved forward on its own, penetrating the egg and dropping off a single sperm cell. Altogether, the robot was used to fertilize more than a dozen eggs.

The result of the procedures, say the… More.


Meet the startup companies trying to engineer a desktop fertility machine. If they succeed, it could make IVF cheaper and more widespread.

Harvard’s new computer science teacher is a chatbot

Harvard University plans to use an AI chatbot similar to ChatGPT as an instructor on its flagship coding course.

Students enrolled on the Computer Science 50: Introduction to Computer Science (CS50) programme will be encouraged to use the artificial intelligence tool when classes begin in September.

The AI teacher will likely be based on OpenAI’s GPT 3.5 or GPT 4 models, according to course instructors.

The Impact of AI in Healthcare

Understanding the basics of artificial intelligence in healthcare.

Healthcare spending simply isn’t keeping up. Healthcare systems will struggle to remain viable unless big structural and transformational changes are implemented. Automation, along with artificial intelligence (AI), has the potential to revolutionize healthcare.

Artificial Intelligence in Healthcare is utilized to analyze and avoid illness treatment procedures. AI is employed in many fields of healthcare, including diagnosis, drug research, medication, patient monitoring care centers, and so on.

Chatbot Arena: The LLM Benchmark Platform

Just to shake it up a little bit more, Chatbot Arena is an LLM benchmark platform created by the Large Model Systems Organization (LMSYS Org). It is an open research organization founded by students and faculty from UC Berkeley.

Their overall aim is to make large models more accessible to everyone using a method of co-development using open datasets, models, systems, and evaluation tools. The team at LMSYS trains large language models and makes them widely available along with the development of distributed systems to accelerate the LLMs training and inference.


Chatbot Arena is a benchmark platform for large language models, where the community can contribute new models and evaluate them.

Tesla Dojo supercomputer is finally coming next month

Tesla says its long-awaited Dojo supercomputer, which is supposed to bring its self-driving effort to a new level, is finally going into production next month.

Dojo is Tesla’s own custom supercomputer platform built from the ground up for AI machine learning and, more specifically, for video training using the video data coming from its fleet of vehicles.

The automaker already has a large NVIDIA GPU-based supercomputer that is one of the most powerful in the world, but the new Dojo custom-built computer uses chips and an entire infrastructure designed by Tesla.

How ChatGPT and generative AI could bring the Star Trek holodeck to life

Join top executives in San Francisco on July 11–12, to hear how leaders are integrating and optimizing AI investments for success. Learn More

For Star Trek fans and tech nerds, the holodeck concept is a form of geek grail. The idea is an entirely realistic simulated environment where just speaking the request (prompt) seemingly brings to life an immersive environment populated by role-playing AI-powered digital humans. As several Star Trek series envisioned, a multitude of scenes and narratives could be created, from New Orleans jazz clubs to private eye capers. Not only did this imagine an exciting future for technology, but it also delved into philosophical questions such as the humanity of digital beings.

Since it first emerged on screen in 1988, the holodeck has been a mainstay quest of the Digerati. Over the years, several companies, including Microsoft and IBM, have created labs in pursuit of building the underlying technologies. Yet, the technical challenges have been daunting for both software and hardware. Perhaps AI, and in particular generative AI, can advance these efforts. That is just one vision for how generative AI might contribute to the next generation of technology.

How ChatGPT could replace IT network engineers

Join top executives in San Francisco on July 11–12, to hear how leaders are integrating and optimizing AI investments for success. Learn More

Modern IT networks are complex combinations of firewalls, routers, switches, servers, workstations and other devices. What’s more, nearly all environments are now on-premise/cloud hybrids and are constantly under attack by threat actors. The intrepid souls that design, implement and manage these technical monstrosities are called network engineers, and I am one.

Although other passions have taken me from that world into another as a start-up founder, a constant stream of breathless predictions of a world without the need for humans in the age of AI prompted me to investigate, at least cursorily, whether ChatGPT could be used an effective tool to either assist or eventually replace those like me.

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