AI and Machine Learning Trends

Artificial intelligence and machine learning are the parts of computer science that are correlated with each other. These two technologies are the most trending technologies which are used for creating intelligent systems.

Although these are two related technologies and sometimes people use them as a synonym for each other, still both are different. 

Current state of AI :

Artificial intelligence technologies are transforming business processes and society at large. There are many AI trends in 2023 that enterprises should be paying attention to

impressive and worthy of enterprise attention are the new tools automating machine learning pipelines and greatly accelerating the development process. The current status of AI is in the Theory of Mind State. In Theory of Mind AI a machine is able to decide like any human. It seems that the machine has a mind in it.

In addition, the field of AI is moving into various new domains such as conceptual design, smaller devices and multi-modal applications -- innovations that will expand AI's repertoire in many industries. It's also important for companies to keep an eye on the bleeding edge AI technologies that show tremendous promise and are now available for experimentation via the cloud -- quantum AI, for example.

AutoML :

Automated machine learning (AutoML) is the process of automating the tasks of applying machine learning to real-world problems. 

AI enabled conceptual design :

Historically, AI was mostly applied to streamline processes related to data, image and linguistic analytics. Early work shows how the models can be trained to make novel designs. Examples included an avocado-shaped armchair that was designed by giving the AI the caption "avocado armchair." 

Multimodal learning :

AI is getting better at supporting multiple modalities within a single ML model, such as text, vision, speech and IoT sensor data. Google DeepMind made headlines with Gato, a multimodal AI approach that can perform visual, language and robotic movement tasks.

AI based cyber security :

New AI and machine learning techniques will play a growing role in detecting and responding to cybersecurity threats.

AI Democratisation :

Improvements in AI tooling are lowering the level of expertise required to build AI models. This will make it easier to include subject matter experts in the AI development process. Democratized AI will not only speed up AI development but also improve the level of accuracy with the involvement of subject matter experts.

Industrial metaverse :

Over the past year, leading industrial design and AI vendors have connected the dots between digital twins, virtual models that simulate reality, and the metaverse.

AI and ML bring powerful benefits to organisations of all shapes and sizes, with new possibilities constantly emerging.