Lifeboat Foundation

Choosing interesting dissertation topics in ML is the first choice of Master’s and Doctorate scholars nowadays. Ph.D. candidates are highly motivated to choose research topics that establish new and creative paths toward discovery in their field of study. Selecting and working on a dissertation topic in machine learning is not an easy task as machine learning uses statistical algorithms to make computers work in a certain way without being explicitly programmed. The main aim of machine learning is to create intelligent machines which can think and work like human beings. This article features the top 10 ML dissertations for Ph.D. students to try in 2022.

Text Mining and Text Classification: Text mining is an AI technology that uses NLP to transform the free text in documents and databases into normalized, structured data suitable for analysis or to drive ML algorithms. This is one of the best research and thesis topics for ML projects.

Recognition of Everyday Activities through Wearable Sensors and Machine Learning: The goal of the research detailed in this dissertation is to explore and develop accurate and quantifiable sensing and machine learning techniques for eventual real-time health monitoring by wearable device systems.

00:00 Intro.
02:44 Kernel Flow brain interface.
08:03 Seeing my brain activity.
12:42 Reversing aging-Project Blueprint.
18:18 Overcoming depression.
26:42 Starting Kernel.
34:40 Why non-invasive?
36:43 Comparison to Tesla/ Neuralink.
43:52 Elon considered joining Kernel?
44:52 Kernel hiring.
46:17 Participate in the studies.

Participate & experience Kernel Flow: https://www.kernel.com/participate.
Information: Kernel Flow: https://www.kernel.com/flow.
Kernel Careers: https://jobs.lever.co/kernel-2
Neura Pod Episode about Kernel & Bryan Johnson: https://youtu.be/c0VFiEhDg6I
Bryan Johnson LinkedIn: https://www.linkedin.com/in/bryanrjohnson/
Bryan Johnson Personal Page: https://www.bryanjohnson.co/
Blueprint Website: https://blueprint.bryanjohnson.co/

Continue reading “Elon Musk’s NEURALINK vs Bryan Johnson’s KERNEL (No Surgery)” »

For all the talk about embedding computers in clothing, here’s an interesting option. Make the clothing the computer, and do it without electricity.

Mechanical engineers at Rice University’s George R. Brown School of Engineering are trying the concept on for size with a set of textile-based pneumatic computers capable of digital logic, onboard memory and user interaction.

Continue reading “Wearables take ‘logical’ step toward onboard control” »

Carnegie Mellon mechanical engineering researchers have developed a new scalable and reproducible manufacturing technique that could accelerate the mainstream adoption and commercialization of soft and stretchable electronics.

The next generation of robotic technology will produce soft machines and robots that are safe and comfortable for direct physical interaction with humans and for use in fragile environments. Unlike rigid electronics, soft and stretchable electronics can be used to create wearable technologies and implantable electronics where safe physical contact with biological tissue and other delicate materials is essential.

Soft robots that safely handle delicate fruits and vegetables can improve food safety by preventing cross-contamination. Robots made from soft materials can brave the unexplored depths of the sea to collect delicate marine specimens. And the many biomedical applications for soft robots include wearable and assistive devices, prostheses, soft tools for surgery, drug delivery devices, and artificial organ function.

In a significant development, Massachusetts Institute of Technology (MIT) engineers have developed a new category of wireless wearable skin-like sensors for health monitoring that doesn’t require batteries or an internal processor.

The team’s sensor design is a form of electronic skin, or “e-skin” — a flexible, semiconducting film that conforms to the skin like electronic Scotch tape, according to a press release published by MIT.

“If there is any change in the pulse, or chemicals in sweat, or even ultraviolet exposure to skin, all of this activity can change the pattern of surface acoustic waves on the gallium nitride film,” said Yeongin Kim, study’s first author, and a former MIT postdoc scholar.

Imagine a world where the smart watch on your wrist never ran out of charge, because it used your sweat to power itself.

It sounds like science fiction but researchers have figured out how to engineer a bacterial biofilm to be able to produce continuous electricity from perspiration.

They can harvest energy in evaporation and convert it to electricity which could revolutionise wearable electronic devices from personal medical sensors to electronics.

Wearable sensors are ubiquitous thanks to wireless technology that enables a person’s glucose concentrations, blood pressure, heart rate, and activity levels to be transmitted seamlessly from sensor to smartphone for further analysis.

Most wireless sensors today communicate via embedded Bluetooth chips that are themselves powered by small batteries. But these conventional chips and power sources will likely be too bulky for next-generation sensors, which are taking on smaller, thinner, more flexible forms.

Now MIT engineers have devised a new kind of wearable sensor that communicates wirelessly without requiring onboard chips or batteries. Their design, detailed in the journal Science, opens a path toward chip-free wireless sensors.

Capacitors are energy storage devices—consisting of two electrodes and an electrolyte—that are capable of rapid charging and discharging because of charge adsorption and desorption properties at the electrode-electrolyte interface. Because capacitors’ energy storage does not involve chemical reactions, their storage capacity is lower than that of lithium-ion batteries, but they are useful for power leveling for renewable energy that requires repeated charging at high currents, regenerative braking energy for trains and electric or hybrid cars, as well as instantaneous voltage drop compensation devices that prevent equipment failure due to lightning strikes. They are also expected to be used to store energy for wearable devices in the near future.

Most capacitors use a liquid electrolyte with a low boiling point, which can only be used at temperatures below 80℃. Ceramic capacitors that use solid inorganic materials as a dielectric can be used at temperatures above 80℃, but their storage capacity is much lower than liquid electrolyte capacitors, which limits their use to electronic circuits.

To increase the energy storage of capacitors, it is necessary to have a large contact area at the interface between the electrode and the electrolyte. Making a large contact area is difficult using solid electrolytes; so, the creation of a capacitor with high storage capacity that can also operate at high temperatures has been desired for a long time.

Flexible electronics have enabled the design of sensors, actuators, microfluidics and electronics on flexible, conformal and/or stretchable sublayers for wearable, implantable or ingestible applications. However, these devices have very different mechanical and biological properties when compared to human tissue and thus cannot be integrated with the human body.

A team of researchers at Texas A&M University has developed a new class of biomaterial inks that mimic native characteristics of highly conductive human tissue, much like skin, which are essential for the ink to be used in 3D printing.

This biomaterial ink leverages a new class of 2D nanomaterials known as molybdenum disulfide (MoS₂). The thin-layered structure of MoS₂ contains defect centers to make it chemically active and, combined with modified gelatin to obtain a flexible hydrogel, comparable to the structure of Jell-O.