Tech Crunch: Flow claims it can 100x any CPU’s power with its companion chip and some elbow grease
A Finnish startup called Flow Computing is making one of the wildest claims ever heard in silicon engineering.
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Interesting Engineering: Trillium: Google unveils its most potent AI chip with 67% energy efficiency
Google’s parent company Alphabet has announced the launch of a new offering in its artificial intelligence data center chip family, called Trillium.
StudyFinds: Quantum breakthrough proves scientists can build million-qubit computer chips
A potentially game changing breakthrough in quantum computing. A reliable and ultra-powerful quantum computer could finally be on the horizon.
CIO: AI is set to transform hiring requirements: Report
About 50% of technology leaders in a recent EY survey said they anticipate a combination of layoffs and hiring in the next six months as a direct result of AI adoption.
Quantum Computing Report: PsiQuantum Receives $940 Million AUD ($620M USD) to Install a 1 Million Qubit Machine in Australia by 2027
A very ambitious quantum computing program.
The Quantum Insider: Intel Chips Away At Fault-Tolerant Quantum Computing With Latest Advance
Intel Corporation advancing in quantum computing. Intel researchers report they developed a 300-millimeter (mm) cryogenic probing process to assess spin qubit devices across entire wafers.
TechRepublic: Generative AI Defined: How it Works, Benefits and Dangers
A good overview of Generative AI, who the major players are, and where it can be used.
The Verge: Meta wants to be the Microsoft of headsets
An interesting move by Meta enabling third parties to focus on innovative hardware which is a big limiting factor at the moment (along with the lack of “killer” apps).
Live Science: Intel unveils largest-ever AI ‘neuromorphic computer’ that mimics the human brain
Scientists at Intel have built the world’s largest neuromorphic computer, or one designed and structured to mimic the human brain.
New Atlas: AI now surpasses humans in almost all performance benchmarks
Stand back and take a look at the last two years of AI progress as a whole… AI is catching up with humans so quickly, in so many areas, that we need new tests.