What will be the next big thing in artificial intelligence between now and 2025 or 2035?

What field would someone choose who is interested in pursuing a PhD in AI research?

The next big thing in artificial intelligence in future: -

Transportation:

The speed of the transition to AI-guided transport may catch the public by surprise. Self-driving vehicles will be widely adopted by 2025, and it won’t just be cars - driverless delivery trucks, autonomous delivery drones, and personal robots will also be commonplace.

Uber-style “cars as a service” are likely to replace car ownership, which may displace public transport or see it transition towards similar on-demand approaches. Commutes will become a time to relax or work productively, encouraging people to live further from home, which could combine with reduced need for parking to drastically change the face of modern cities.

Mountains of data from increasing numbers of sensors will allow administrators to model individuals’ movements, preferences, and goals, which could have a major impact on the design city infrastructure.

Humans won’t be out of the loop, though. Algorithms that allow machines to learn from human input and coordinate with them will be crucial to ensuring autonomous transport operates smoothly. Getting this right will be key as this will be the public’s first experience with physically embodied AI systems and will strongly influence public perception.

Home and Service Robots:

Robots that do things like deliver packages and clean offices will become much more common in the next 15 years. Mobile chipmakers are already squeezing the power of last century’s supercomputers into systems-on-a-chip, drastically boosting robots’ on-board computing capacity.

Cloud-connected robots will be able to share data to accelerate learning. Low-cost 3D sensors like Microsoft’s Kinect will speed the development of perceptual technology, while advances in speech comprehension will enhance robots’ interactions with humans. Robot arms in research labs today are likely to evolve into consumer devices around 2025.

But the cost and complexity of reliable hardware and the difficulty of implementing perceptual algorithms in the real world mean general-purpose robots are still some way off. Robots are likely to remain constrained to narrow commercial applications for the foreseeable future.

Having a PhD certainly opens more doors to more positions. The average salary I found for the advertised roles is ￡80,000 ($99,607). It does make sense that to be an ML Researcher, you would essentially hold a qualification that proves your ability to conduct research.

ML Engineering roles do not entirely require an advanced qualification such as a PhD degree. That being said, when an ML Engineer has a PhD degree, coupled with a few years of work experience in machine learning, then the applicant is definitely in a position to be highly considered.

After looking through several roles, it’s safe to say that an applicant with a PhD and some work experience could apply for a large number of advertised machine learning roles.

So, it is better to start right now by enrolling in Technogeeks AI and ML program by working IT professionals to build your foundation strong and will help you in pursuing PhD.

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