While chatbots and virtual assistants like Google’s Gemini or OpenAI’s ChatGPT become highly popular AI applications worldwide, the advancements in the artificial intelligence field indicate that it is just the tip of the iceberg. With its influence permeating diverse sectors, from scientific discovery and research to semiconductor chip development, robotics, and even video making, AI stands at the forefront of transformative advancements.
AI is being used to analyse massive datasets and run complex simulations, helping researchers in fields like medicine, materials science, and astronomy. For example, NASA harnesses AI algorithms to analyze data from telescopes like Kepler, identifying potential exoplanets. Kepler-90i, a scorching rocky planet, was discovered using Google’s machine learning technology, showcasing AI’s role in space exploration.
Big pharma companies partnered with tech companies for AI drug discovery and development initiatives as well as for target identification, drug design, and lead generation. In healthcare, Microsoft’s generative AI technology is spearheading a revolution, collaborating with prestigious institutions like Stanford Medicine and WellSpan Health. Microsoft’s Nuance Dragon Ambient eXperience Copilot (DAX Copilot) is transforming patient care by simplifying administrative tasks and improving patient-physician interactions, addressing burnout, and elevating care quality.
Meanwhile, Google DeepMind’s focus on AI, machine learning, and neuroscience yielded a breakthrough in predicting protein folding, a milestone with profound implications for biology and medicine.
Another tech giant Apple also has its own AI plants. It bolsters its on-device AI ambitions with the acquisition of Paris-based AI startup Datakalab, renowned for its expertise in data compression and image analysis. Furthermore, reports indicate that the upcoming iOS 18 will introduce the first generative AI features to the iPhone, running entirely on-device to leverage the device’s hardware. While potential partnerships may lead to additional capabilities in the future, Apple prioritizes on-device AI for its initial rollout.
In another field, Intel’s recent announcement of Hala Point, the world’s largest neuromorphic system, marks a significant leap in AI research. With over 10 times more neuron capacity and 12 times higher performance than its predecessor, Hala Point paves the way for more efficient and scalable AI, promising breakthroughs in future brain-inspired AI. In simple words, Hala Point is like a giant brain, but instead of neurons firing in our heads, it uses super-powerful chips to mimic brain functions. Additionally, “AI Everywhere” by Intel is an initiative aimed at making AI capabilities more accessible and widespread.
Regarding semiconductor chips, Intel’s introduction of Gaudi 3, an AI chip manufactured by Taiwan Semiconductor Manufacturing Company’s 5nm process node, aims to challenge Nvidia’s dominance in the market. Nvidia, on its part, unveiled the 208-Billion Transistor Blackwell GPU, designed to revolutionize datacenter-scale generative AI with unparalleled energy efficiency.
Meanwhile, Boston Dynamics, a leading developer of advanced robots, showcased its latest robot, Atlas, performing complex parkour movements. This demonstrates the incredible progress being made in robot agility and movement, thanks to AI advancements. In terms of humanoid robots, there are examples like Ameca, Alter 3, Beomni, OceanOne and others.
Meta has introduced Meta AI, powered by Meta Llama 3, boasting capabilities such as complex reasoning, following instructions, and problem-solving. Additionally, Meta has announced the rollout of multimodal capabilities to smart glasses, enabling visual understanding through built-in cameras. This enhancement opens doors to various applications, including text translation, object identification, and context-specific information provision.
Partnering with EssilorLuxottica, Meta’s second-generation smart glasses witnessed high demand, prompting the expansion of the Ray-Ban Meta collection with new styles tailored to diverse face shapes. Furthermore, Meta enhanced its glasses’ utility by introducing updates to Meta AI, enhancing user experience and functionality.
In other news, Adobe is now focusing on developing a new generative AI video model for its Firefly family. This model will introduce innovative features to the Premiere Pro video editing platform, enabling users to extend shots and manipulate objects. Adobe aims to enhance the editing experience and offer more creative possibilities to its users.
OpenAI unveiled Sora, a text-to-video generation tool capable of producing hyperrealistic scenes, in February. Initially accessible to visual artists, designers, and filmmakers, Sora-generated videos have already surfaced on platforms like X. OpenAI plans to incorporate audio and enable content editing in future versions, enhancing realism and user customisation. While Sora will be publicly available later this year, its preview videos offer a glimpse into its transformative potential, including a futuristic depiction of TED Talks in 40 years.
As AI continues to push the boundaries of innovation across industries, these developments underscore its transformative potential in shaping the future of technology and human society.
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