Generative AI (artificial intelligence) has come the hot cutlet in the global tech industry, with companies similar as Google and Microsoft investing billions to develop new products associated with it. Alphabet Inc’s Google on Friday said that the company will be combining its two brigades DeepMind and Brain into a single focused unit called Google DeepMind in a shot to expand its AI exploration capabilities. The move is touted to help the tech mammoth contend with rivals similar as Microsoft- backed OpenAI’s ChatGPT.
“The pace of progress is now faster than ever. To insure the bold and responsible development of general AI, we’re creating a unit that will help us make further able systems more safely and responsibly,” says Sundar Pichai, CEO, Google and Alphabet. “This group, called Google DeepMind, will bring together two leading exploration groups in the AI field the Brain platoon from Google Research, and DeepMind. Their collaborative accomplishments in AI over the last decade span AlphaGo, Mills, word2vec, WaveNet, AlphaFold, sequence- to- sequence models, distillation, deep reinforcement learning, and distributed systems and software fabrics like TensorFlow and JAX for expressing, training and planting large- scale ML( machine learning) models.
Combining all this gift into one focused platoon, backed by the computational coffers of Google, will significantly accelerate our progress in AI,” he adds. Demis Hassabis is appointed as the CEO of Google DeepMind and will lead the development of the company’s exploration of general AI systems. Jeff Dean will be serving as principal scientist to Google Research and Google DeepMind.
“By creating Google DeepMind, I believe we can get to that future briskly. For that, we need to work with lesser speed, stronger collaboration and prosecution, and to simplify the way we make opinions to concentrate on achieving the biggest impact,” Hassabis says.
According to the company, Google Research will continue its important work leading abecedarian advances in computer science across areas similar as algorithms and proposition, privacy and security, quantum computing, health, climate and sustainability and responsible AI.
