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Making life friendlier with personal robots

“As a child, I wished for a robot that would explain others’ emotions to me” says Sharifa Alghowinem, a research scientist in the Media Lab’s Personal Robots Group (PRG). Growing up in Saudi Arabia, Alghowinem says she dreamed of coming to MIT one day to develop Arabic-based technologies, and of creating a robot that could help herself and others navigate a complex world.

In her early life, Alghowinem faced difficulties with understanding social cues and never scored well on standardized tests, but her dreams carried her through. She earned an undergraduate degree in computing before leaving home to pursue graduate education in Australia. At the Australian National University, she discovered affective computing for the first time and began working to help AI detect human emotions and moods, but it wasn’t until she came to MIT as a postdoc with the Ibn Khaldun Fellowship for Saudi Arabian Women, which is housed in the MIT Department of Mechanical Engineering, that she was finally able to work on a technology with the potential to explain others’ emotions in English and Arabic. Today, she says her work is so fun that she calls the lab “my playground.”

Alghowinem can’t say no to an exciting project. She found one with great potential to make robots more helpful to people by working with Jibo, a friendly robot companion developed by the founder of the Personal Robots Group (PRG) and the social robot startup Jibo Inc., MIT Professor and Dean for Digital Learning Cynthia Breazeal’s research explores the potential for companion robots to go far beyond assistants who obey transactional commands, like requests for the daily weather, adding items to shopping lists, or controlling lighting. At the MIT Media Lab, the PRG team designs Jibo to make him an insightful coach and companion to advance social robotics technologies and research. Visitors to the MIT Museum can experience Jibo’s charming personality.

System combines light and electrons to unlock faster, greener computing

Computing is at an inflection point. Moore’s Law, which predicts that the number of transistors on an electronic chip will double about every two years, is slowing down due to the physical limits of fitting more transistors on affordable microchips. Increases in computer power are slowing down as the demand grows for high-performance computers that can support increasingly complex artificial intelligence models.

This inconvenience has led engineers to explore new methods for expanding the computational capabilities of their machines, but a solution remains unclear.

Photonic computing is one potential remedy for the growing computational demands of models. Instead of using transistors and wires, these systems utilize photons (microscopic light particles) to perform computation operations in the analog domain.

AI training models will be 1,000x larger in three years

If you thought ChatGPT was impressive, you ain’t seen nothing yet…

DeepMind co-founder Mustafa Suleyman predicts ongoing, exponential progress in LLMs and other generative AI. But the emergence of such powerful technology raises huge ethical and safety concerns.


DeepMind co-founder Mustafa Suleyman predicts that AI will continue its exponential progress, with orders-of-magnitude growth in model training sizes over the next few years.

A.I. Sampling and how the Music Industry will change forever

If people remember how sampling changed music, watch what this guys does to make AI music. A long time ago when people said AI will replace musicians, I replied AI is just a sampler. If people use a Tupac voice on a song like this guy did, they just pay royalties. Then with samplers arists made sample disks royalty free. They make money when you buy the sample disk. The same with AI, you just upload your sample disk into your AI, whether the music AI is from Meta or Google. Yeah Meta has music AI, you can see it used here.


Welcome to a showcase of sounds sampled through the power of artificial intelligence. Gone are the days of vinyl digging; now, we embrace prompt digging…

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Colab Notebook META AudioGen & MusicGEN:

Move over AI, quantum computing will be the most powerful and worrying technology

Head over to our on-demand library to view sessions from VB Transform 2023. Register Here

In 2022, leaders in the U.S. military technology and cybersecurity community said that they considered 2023 to be the “reset year” for quantum computing. They estimated the time it will take to make systems quantum-safe will match the time that the first quantum computers that threaten their security will become available: both around four to six years. It is vital that industry leaders quickly start to understand the security issues around quantum computing and take action to resolve the issues that will arise when this powerful technology surfaces.

Quantum computing is a cutting-edge technology that presents a unique set of challenges and promises unprecedented computational power. Unlike traditional computing, which operates using binary logic (0s and 1s) and sequential calculations, quantum computing works with quantum bits, or qubits, that can represent an infinite number of possible outcomes. This allows quantum computers to perform an enormous number of calculations simultaneously, exploiting the probabilistic nature of quantum mechanics.

Apptronik Unveils New Humanoid Robot, Apollo

Apptronik, an Austin-based robotics start-up, has revealed its latest humanoid robot, Apollo. Standing at 5 feet 8 inches tall and weighing 160 pounds, Apollo is designed for mass production and safe human-robot collaboration. Unlike traditional robots, Apollo uses electricity instead of hydraulics, making it both safer and more efficient.

Apollo is equipped with a four-hour battery life that can be easily exchanged for continuous use up to 22 hours, allowing it to perform physically demanding and dangerous tasks, improving supply chains and reducing human risk.

To ensure that Apollo is accessible and friendly, Austin-based company Argodesign has equipped the robot with features such as digital panels on its chest for clear communication, intentional movements like head rotation, and a friendly face.

Tesla (TSLA) stock surges from optimistic look at Dojo supercomputer

Tesla’s (TSLA) stock is rising in pre-market trading on an optimistic new report about the automaker’s Dojo supercomputer coming from Morgan Stanley.

The firm massively increased its price target on Tesla’s stock because of it.

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.

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