You wouldn't know it from interacting with Siri or those technical-support, call-center robots, but artificial intelligence has made some incredible advances in a short amount of time. Earlier this year, the tech world was abuzz with various generative AI programs that could, on command, create entirely new, never-before-existing images or works of art. Today, the tech world is abuzz again over ChatGPT, a chat bot that is said to be the most advanced ever made. Just how advanced is ChatGPT? It can create poems, songs, and even computer code.

Endangered animal species could be saved from extinction after a new study has shown that mice cloned from freeze-dried cells are able to successfully grow into adults and become parents. Researchers in Japan have used freeze-dried somatic cells – animal cells other than sperm and egg cells – to clone mice. Cloned males and females were able to mate with other normal mice and produce their own healthy offspring. The team's method could bring animal species back to life after they've gone extinct in the wild, as long as their cells have already been'banked'. Researchers in Japan have used freeze-dried somatic cells to clone mice.

In this inteview, we discuss the internet of cows, how AI and machine learning are used on a dairy farm, the type of data that comes from every cow and how that data is used to drive decisions. We also discuss the black box of AI, and what's ahead for Artificial Intelligence and the future of mankind. Peter Schooff: Hello, this is Peter Schooff, editor of Data Decisioning and today I am very pleased to be joined by Bharath Sudarsan, the founder and director of artificial intelligence for SomaDetect. And that's pretty much what we're going to focus on in this podcast: exactly how AI and Internet of Things is contributing to companies at their operational level. In fact, I think I just recently saw that you guys referred to the IoT as the Internet of Cows, and I definitely want to hear about that.

In the past several years, I have prepared a "top 10" list of biomedical advances. For 2018, I am instead highlighting a few areas that are fast- moving, are attracting considerable attention, and have transformative potential. Those three areas are genome editing, artificial intelligence, and the gut microbiome. There has been steady progress with illumination of biology using CRISPR (among other editing tools, such as transcription activator-like effector nucleases [TALENs] and zinc finger nucleases). One example was taking the BRCA1 gene and systematically editing its nucleotides and assessing functional changes.[1] In just one study, we could ascertain functional effects of hundreds of mutations that took more than a decade for a genomics company (Myriad Genetics; Salt Lake City, Utah) to determine via family studies.

Hybrid "CMOL" integrated circuits, combining CMOS subsystem with nanowire crossbars and simple two-terminal nanodevices, promise to extend the exponential Moore-Law development of microelectronics into the sub-10-nm range. We are developing neuromorphic network ("CrossNet") architectures for this future technology, in which neural cell bodies are implemented in CMOS, nanowires are used as axons and dendrites, while nanodevices (bistable latching switches) are used as elementary synapses. We have shown how CrossNets may be trained to perform pattern recovery and classification despite the limitations imposed by the CMOL hardware.

Hybrid "CMOL" integrated circuits, combining CMOS subsystem with nanowire crossbars and simple two-terminal nanodevices, promise to extend the exponential Moore-Law development of microelectronics into the sub-10-nm range. We are developing neuromorphic network ("CrossNet") architectures for this future technology, in which neural cell bodies are implemented in CMOS, nanowires are used as axons and dendrites, while nanodevices (bistable latching switches) are used as elementary synapses. We have shown how CrossNets may be trained to perform pattern recovery and classification despite the limitations imposed by the CMOL hardware.

Hybrid "CMOL" integrated circuits, combining CMOS subsystem with nanowire crossbars and simple two-terminal nanodevices, promise to extend the exponential Moore-Law development of microelectronics into the sub-10-nm range. We are developing neuromorphic network ("CrossNet") architectures for this future technology, in which neural cell bodies are implemented in CMOS, nanowires are used as axons and dendrites, while nanodevices (bistable latching switches) are used as elementary synapses. We have shown how CrossNets may be trained to perform pattern recovery and classification despite the limitations imposed by the CMOL hardware.