NVIDIA has introduced a groundbreaking AI model called Neuralangelo, capable of generating 3D replicas of objects from 2D videos. Whether the subject is a classical sculpture or a regular truck or building, Neuralangelo utilizes multiple frames from different angles to capture the depth, size, and shape of the object. It then creates an initial 3D representation, refining it to mimic the intricate details of the real-world counterpart.

By leveraging technology from its previous model, Instant NeRF, Neuralangelo achieves remarkable precision in capturing fine details, such as textures, patterns, and color variations. NVIDIA claims that Neuralangelo’s ability to handle challenging textures, like the roughness of roof shingles or the smoothness of marble, “significantly surpasses prior methods.” The model can even generate usable virtual objects from smartphone videos, providing creators with a simple way to produce 3D replicas for their projects. Moreover, NVIDIA Research states that Neuralangelo can generate complete 3D scenes within a remarkably short timeframe of two hours.

Scientists in Singapore, from Duke-NUS Medical School, A*STAR’s Genome Institute of Singapore (GIS), and Singapore General Hospital (SGH), alongside their colleagues, have harnessed the power of artificial intelligence (AI) to expedite the identification of crucial biomarkers that can predict the non-responsiveness of chronic myeloid leukemia (CML) patients to conventional treatments. This early prognosis enables patients to receive potentially life-saving bone marrow transplants during the initial stages of the disease.

CML is a form of blood cancer triggered by a genetic mutation that permanently activates an enzyme called tyrosine kinase. This mutation occurs in a blood stem cell within the bone marrow, causing it to transform into an aggressive leukemic cell that eventually supplants healthy blood production.

The human brain, often referred to as the most complex entity in the universe, has long fascinated scientists seeking to replicate its unparalleled computing capabilities. In a significant breakthrough, researchers at Los Alamos National Laboratory have successfully created a new type of memristive device, demonstrating its potential for constructing artificial synapses in cutting-edge neuromorphic computing.

Memristors, or memristive devices, represent a highly sought-after circuit technology that possesses both memory and programming capabilities. Unlike conventional resistor technology, memristors possess the ability to retain their electrical state even when powered off, resembling the memory retention of the human brain. This unique characteristic opens up a realm of possibilities for computing and device development. Aiping Chen, a scientist at the Center for Integrated Nanotechnologies, explained the significance of data processing in today’s scientific advancements, encompassing fields such as machine learning, artificial intelligence, and artificial neural networks.

Deputy Governor of the Reserve Bank of India (RBI), Mahesh Kumar Jain, has emphasized the importance of Indian banks adopting innovative technologies such as artificial intelligence (AI) and blockchain to ensure sustainable growth and stability. Speaking at an RBI conference for bank directors, Jain discussed strategies to address risks associated with evolving customer expectations, technological disruptions, and cybersecurity threats.

Jain highlighted the significance of effective corporate governance and robust structures and processes in preparing for future risks. He emphasized that banks need to focus on technology adoption to overcome the challenges posed by these risks. Alongside digital transformation, enhancing customer experience, and investing in cybersecurity measures, Jain specifically recommended the adoption of AI and blockchain technologies by Indian banks.

Investors seeking a strong foundation for their AI investments have found it in Nvidia, as the company’s market capitalization has surpassed the trillion-dollar mark, making it the first chip maker to achieve this milestone.

As of the time of writing, Nvidia’s stock price has surged to $409.76 per share, propelling its market capitalization to an impressive $1.014 trillion.

Nvidia experienced a significant surge in fortunes following its recent financial report, which revealed a net income of $2.04 billion on revenue of $7.192 billion. Despite a 13 percent decline in revenue compared to the previous year, investors remained undeterred. This optimism stemmed from Nvidia’s estimate that the current quarter would generate a remarkable $11.0 billion in revenue, an extraordinary quarter-over-quarter increase. Responding to this promising outlook, Wall Street propelled the company’s shares from approximately $303 to just under $380 overnight.