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Data Science: From Algorithms to Production

Almost every company has a data science team. As a team lead, it is your responsibility to make the team effective, that is,...

In praise of swearing

He just blurted it out, seemingly out of nowhere, after Ohio representative Tim Ryan challenged him on his knowledge of Medicare for All,...

MSRise Releases the MSR Falcon Miner Prototype

MSRise officially released the MSR Falcon miner prototype, one of the most energy efficient miner in the world. It is expected that their...

Examining Bitcoin’s Valued Attributes: A Letter to the SEC

Reading Time: 11 minutes What follows is the content from a comment letter submitted to the SEC in response to questions and concerns regarding Bitcoin’s value. The comment letter can be viewed in its entirety here but the content is copied below. The Value of Bitcoin Bitcoin is often described as digital money. However, given that reasonable people may disagree as […]

French Air Force deputy talks strategy, Brexit and future fighter jets

PARIS — As deputy chief of staff for plans and programs with the French Air Force, Maj. Gen. Frédéric Parisot is the go-to person...

Clinicall: Empower everyone with easy access to healthcare-related services

Digital transformation continues to impact all sectors of business, from healthcare to retail shopping, changing how we store money, how we shop, and...

Does Your Supply Chain Self-Optimize?

In recent years AI and machine learning have had a major impact on how we run our businesses. They have also influenced the way we make decisions in supply chain planning. As a result we are now in a position to have a supply chain planning system that may have enough intelligence to grow and change with the organization on its own!

The post Does Your Supply Chain Self-Optimize? appeared first on Adexa.

Memory Testing: MBIST, BIRA & BISR | An Insight into Algorithms and Self Repair Mechanism

Typically, we see a 4X increase in memory size every 3 years to cater to the needs of new generation IoT devices. Deep...

How to Deliver On-Time at Lower Technology Nodes (7nm,10nm,16nm…)?

Over the years, we have seen a wide range of advancements in semiconductor design services. The Semiconductor Industry Association (SIA) announced that the...

Different Way to Get Profit from Bitcoin BTC Today

There are many conversations that revolve around bitcoin, including good and bad, depending on who you listen to. Bitcoin may be good or...

CPU Soft IP for FPGAs Delivers HDL Optimization and Supply Chain Integrity

RISC-V open ISA can help aerospace and defense designers who are facing challenges of minimizing power consumption, BOM cost and...

Closest Thing to a Crystal Ball – Adexa ML Predictor

Adexa’s Machine Learning Predictor, GENIE©, is designed to predict inefficiencies in the supply chain as well as identifying the main causes of late orders. In its analysis, GENIE© examines not only the internal data but also exogenous data such as weather, season, supplier or customer locations and many others.

The post Closest Thing to a Crystal Ball – Adexa ML Predictor appeared first on Adexa.

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