What are the most popular AI Business reports this year.
Startup AI National Cybersecurity raises$ 100 million and is valued at$ 1.1 billion.
A company that makes artificial intelligence for national security has raised$ 100 million, increasing its market value to$ 1.1 billion.
Bain Capital Ventures led the$ 100 million series B funding round for Israeli-based Dream, which also included Group 11, Tru Arrow, Tau Capital, and Aleph.  ,
The business said it intends to use the money to expand its product range and achieve abroad.
Sebastian Kurz, the original Austrian prime minister, serial entrepreneur Shalev Hulio, the former NSO Group leader, and cyber expert Gil Dolev founded Dream.
Apple investing$ 500 billion in AI production in the US.
has announced that it will invest more than$ 500 billion in AI and manufacturing in the United States over the next four years.
The money would be used to build a fresh, cutting-edge manufacturing facility in Houston to create servers that can run Apple Intelligence and increase the potential of the data center. Additionally, Apple said it will use it to expand its research and development investments, twice its funding for the United States Advanced Manufacturing, and establish an academy in Michigan to train manufacturers.  ,
Tim Cook, Apple’s CEO, stated in the announcement,” We are optimistic about the future of American innovation, and we’re proud to build on our long-standing U.S. investments with this$ 500 billion commitment to our country’s future.”  ,
We’re thrilled to increase our support for American fabrication by doubling our Advanced Manufacturing account and developing innovative technologies in Texas. And we’ll continue to collaborate with people and businesses across the nation to create a remarkable new book in American technology.
Next-Gen Home Humanoid Robot Company Announces
Nova Gamma, a next-generation house humanoid, has been released by the robot company .
The Gamma line, a replacement for the bank’s NEO Alpha humanoid robot for the home, was created and engineered by 1X Technologies. Gamma includes a number of developments, including a new pattern that is “deeply courteous of life at home” and is intended to be a “useful friend.”
In August, 1X, a company supported by OpenAI, unveiled its Neo Beta humanoid human robot.  ,
NEO Gamma’s layout includes Emotive Ear Rings to enhance conversation, a multipurpose whole-body controller that makes it able to walk with” a natural man gait and shoulder swings, sit down to pick things up from the ground and lay in chairs,” improved manipulation, and improved manipulation that makes it able to pick up a variety of objects in different situations, including an environment it has not been trained in.
Portable Tech is a Machine Learning Algorithm that Predicts Mood Changes.
Experts at the Korea University College of Medicine claim to be able to use a machine learning algorithm with 98 % accuracy to use to determine a person’s mood modifications using basic data from wearable devices like a smartphone or watch.  ,
Depressed and manic episodes can often occur in people with mood disorders like depression and depressive, when the 24-hour period that makes up the body’s inner clock, is disrupted by irregular or illiquid sleep.  ,
The book algorithm, which uses sleep-wake data that wearable devices can easily gather, could help people with mood disorders better manage their feelings by monitoring and understanding their sleep and circadian rhythms and predicting when a possible episode may be triggered.  ,
Heon-Jeong Lee, the head of research and professor of psychiatry at the university, claimed that the engine had correctly predicted the day’s episodes of bipolar and hypomanic behavior.  ,
Researchers Create AI Model to Advance Artificial General Intelligence
Without the aid of humans, researchers have created a new AI type that mimics nature and looks at patterns in data. According to its creators at the University of Technology Sydney in Australia, the progress was considerably improve how AI systems learn independently.  ,
The algorithm, known as torque clustering, claims to freely analyze sizable amounts of data from various fields, including biology, chemistry, and psychology, to extract fresh insights, like as trends in disease, separately.
The algorithm, according to the Australian researchers, represents a step forward toward really intelligent AI and could change the nature of unsupervised learning. It might help advance the development of public artificial intelligence, a computer that can learn or comprehend any academic task. According to the researchers, this could be particularly helpful for robotics and other automatic systems because it could aid in their ability to optimize motion, control, and decision-making.
The majority of AI systems use controlled teaching techniques that use predetermined categories or values to label large amounts of data. This information will be used by techniques to make predictions and find connections between the human-set guidelines.  ,