Artificial intelligence will create new business opportunities and lead to economic growth that will create new jobs, according to IBM chief executive Arvind Krishna.

Krishna said he believes the net effect of AI on employment will be “job creation” rather than job destruction, although it will replace humans in certain jobs.

On Sunday, IBM announced plans to invest $100 million in a joint research project with the University of Tokyo and the University of Chicago in an attempt to build a 100,000-qubit quantum supercomputer in 10 years.

“Japan has accumulated a lot of experience in the field of quantum computing, accumulated over decades,” said Krishna. — Physicists, engineers and materials scientists are working on different aspects. Many people may not realize how deep Japan is in these areas.”

He predicted that quantum computing technology would advance step by step as part of a collaborative project in the next decade, with commercial applications starting in three to five years: “This is the time when people will be solving some problems that are probably too expensive or impossible for conventional computers. To do this, we need between 4,000 and 10,000 qubits.”

In quantum computing, a qubit, or quantum bit, is the basic unit of information, just like a binary bit is in conventional computers.

Microsoft recently released an update to Windows 11, which contains a number of new features and functionality. Including the ability to enable the display of seconds on the clock in the tray. At the same time, which is very unexpected, the inclusion of this function, according to Microsoft itself, increases power consumption and, as a result, reduces the autonomy of mobile PCs. The authors of the Neowin portal decided to check if this is really the case. It turned out that this is indeed the case.

The experiment showed that the display of seconds reduces the autonomy of the test laptop by about 1.9%. This is a very minor difference, but the very fact that it exists is interesting. It is also worth noting that the testing format assumed the operation of a laptop without any load, that is, the PC simply stood with the sleep mode turned off and simply gradually discharged.

The experiment with Windows 10 showed an almost identical result, so it’s not about Windows 11 at all. The source does not say what are the reasons for this behavior of the OS.

Microsoft continues to exploit the theme of generative AI at an accelerated pace and implement such technologies in its products. Now Nvidia has joined in. At the Microsoft Build event, companies showcased a set of improvements to Windows 11 PCs and workstations with Nvidia RTX GPUs.

The importance of this collaboration is that the same tensor cores in Nvidia RTX video cards, which in most cases are only needed to implement DLSS technology in games, will become useful in other areas.

For example, Nvidia graphics cards will enable the acceleration of the Nvidia AI software stack inside the Windows Subsystem for Linux (WSL), which allows Linux to run directly on Windows 11. Developers will be able to use Windows PCs for all their local AI development needs with support for deep learning frameworks with GPU acceleration in WSL.

However, here you need to understand that these particular functions are likely to be available only for professional Nvidia RTX adapters, and not for GeForce.

However, the latter will not be left out of work. Nvidia promises to introduce a new low-power Max-Q inference for AI-only workloads on RTX GPUs soon. The solution is to optimize the performance of tensor cores in such a way as to keep the power consumption of the video card as low as possible. Simply put, Nvidia is optimizing mobile graphics cards to perform at their best with AI.