The latest "unicorn" in artificial intelligence promises to accelerate scientific discoveries

Lila Sciences has become the latest emerging enterprise in the field of artificial intelligence, its evaluation is one billion dollars, and the company specializing in biotechnology is to accelerate the rate of scientific discoveries with new artificial intelligence instruments. The company has announced that it has raised $ 235 million, with an evaluation of about $ 1.23 billion. ‘Lila’ came out of the secret of the secret in March after a first $ 200 million financing round. The company has developed a model of artificial intelligence trained in academic research in areas that include materials, chemistry and life sciences, and laboratories are established to test hypotheses. Funding supports the expansion of “at night” The new financing will expand the company, based in Massachusetts, the size and number of facilities – or which are called ‘artificial intelligence scientific factories’ – where automatic research can be conducted by human researchers and computer programs, then the results are revived to the form. The company seeks to develop different technologies, such as new materials that can absorb carbon and new medicine. “If your training input data has fully available to the public, you reach a limit or stage of falling returns,” says Jeffrey von Malzan, the founding partner and CEO of Lila. With the feedback episode, the company can discover “Lila” “that things discovered will be slow or impossible to use previous models.” These models were largely dependent on people as scientists adopted hypotheses, collected information and data, performed experiments and improved the results. It can take years. Lila believes that artificial intelligence can shorten this process for weeks or even months. Artificial intelligence and potential scientific applications were very interesting with the development of technology. An increasing number of researchers depends on artificial intelligence, and other companies such as “Orbital Mateials” and “Isomorphic Laboratories” are creating artificial intelligence techniques. The discovery of protein, core acids and chemical compounds The company “Lila” believes that the build -up of dedicated and automatic laboratories will give them a strong boost. Von Malzan said the company “discovered thousands of protein, core acids, chemical compounds and new materials” and tested it in its laboratory since the founding in 2023. The company has not yet marketed any of its products. But Von Maldzan said that ‘at night’ noted attention of external companies that want to use the artificial intelligence it has developed and wants to use its laboratories, adding that the start is planning to open its platform for some by the end of the year. He refused to mention the names of specific businesses. The new financing round was competed in the new financing round led by two Braidwell and ‘Collection Global’, an investment business owned by California retirement funds. The ‘Ark Venture Fund’ and ‘General Catalyst’ of Catalyst of Cathy Wood investors in the primary round, and were also on a tour of the series (A). The flagship patchwork, which led the previous introductory tour of Lila, joined the group of new investors. Daniel Adamson, the founding partner and co -chair of the group ‘collection’, said that the ability of ‘night’ to attract the best talents in the field of artificial intelligence and science was one of the factors that encouraged his group to invest, and pointed out the attractiveness of the possibility of developing materials and drugs – rapidly. He added: “Imagine at night as an intellectual real estate factory on an excellent level. You can improve the strategy of creating intellectual property in a way people can’t imagine.” In addition to increasing the number of laboratories, Von Maldzan said a team of researchers with the artificial intelligence of the business will compete to see if the models can perform better than people, as part of a test to see if “at night” developed high scientific intelligence. Malzan compared it to chess matches between the ‘deep blue’ computer of IBM and veteran player Gary Kasparov. Kasparov won the first game in 1996, while Deep Blue won the second game the following year, a precedent in the computer world.